A kind of face identification method based on pupil information, system and equipmentTechnical field
The present invention relates to technical field of face recognition more particularly to a kind of face identification method based on pupil information, it isSystem and equipment.
Background technique
With the development of technology, biological identification technology is more and more applied on intelligent terminal, such as the finger on mobile phoneLine identification technology, face recognition technology etc. are also gradually applied there are also some biological identification technologies, such as finger vein identification technology quiltIt is applied to access control system etc..With the continuous popularization in practical application, face identification system there are the problem of also gradually highlight.ThanSuch as, face characteristic has changeability, such as various additives, the variation etc. of human face expression, and these change in practical applications allIt may cause face identification system and rejection phenomenon occur.Although embedded human face identifying system usually in typing face template,By prompting the multi-faceted features of information collections face such as remote, close, new line, rotary head, be conducive to improve recognition success rate, but this is still notIt is enough to reduce the rejection probability as caused by face characteristic variation.In addition, there are also illegal persons to utilize the changeability because of face characteristicAnd the principle of face identification system rejection is caused, face recognition technology is cracked using resources such as photo, videos, so as to cause peopleThe mistake of face identifying system is known, and the reliability of face recognition technology reduces.
Summary of the invention
The purpose of the embodiment of the present invention is that providing a kind of face identification method based on pupil information, system and equipment, energyThe mistake for effectively solving face identification system knows and rejection phenomenon, improves the reliability of face recognition technology.
To achieve the above object, the embodiment of the invention provides a kind of face identification methods based on pupil information, including
Compared with prior art, a kind of face identification method based on pupil information disclosed by the invention, is responding firstIt when recognition of face instructs, detects with the presence or absence of face in the coverage of camera, and when the shooting for detecting the cameraRange opens light source there are when face；Then the preset quantity people of the camera shooting is obtained while opening light sourceFace image, and the pupil information in each facial image is extracted, and according to pre-stored pupil size threshold value to describedPupil information carries out vivo identification；Finally when the facial image is living body faces image, the people of the facial image is extractedFace information, face template according to the pre-stored data carry out recognition of face to the face information.It solves in the prior art because of peopleFace feature has changeability, may cause face identification system and rejection phenomenon occurs, while utilizing the changeability because of face characteristicAnd the principle of face identification system rejection is caused, face recognition technology is cracked using resources such as photo, videos, so as to cause peopleThe problem of mistake of face identifying system is known, and the reliability of face recognition technology reduces, the mistake that can effectively solve face identification system are knownWith rejection phenomenon, the reliability of face recognition technology is improved.
As an improvement of the above scheme, the pupil information extracted in each facial image, comprising:
The left pupil diameter in each facial image is extracted, and the right pupil extracted in each facial image is straightDiameter；
The absolute value of the difference between the left pupil diameter in each facial image is obtained, and obtains each peopleThe absolute value of the difference between right pupil diameter in face image；
Take the absolute value of the difference between the absolute value of the difference between the left pupil diameter and the right pupil diameterIn maximum value be the pupil information.
As an improvement of the above scheme, described to live according to pre-stored pupil size threshold value to the pupil informationBody identification judges whether the facial image currently obtained is living body faces image, comprising:
Judge whether the pupil information is greater than pre-stored pupil size threshold value；
If so, determining that the facial image currently obtained is living body faces image；If it is not, then determine currently to obtainThe facial image is non-living body facial image.
As an improvement of the above scheme, the face template according to the pre-stored data carries out face knowledge to the face informationNot, comprising:
If the face information and the matching degree of the face template are greater than or equal to preset matching value, determine that face is knownCheng Gong not；
If the face information and the matching degree of the face template are less than the preset matching value, recognition of face is determinedFailure.
As an improvement of the above scheme, the face information includes but is not limited to facial contour, eye contour, eye positionInformation, nose profile and nose shape information.
To achieve the above object, the embodiment of the invention also provides a kind of face identification system based on pupil information, packetsIt includes:
Face datection unit when for responding recognition of face instruction, detects in the coverage of camera with the presence or absence of peopleFace；
Light source opening unit, for when detecting that the coverage of the camera there are when face, opens light source, so thatThe light source exposes on face；
Facial image acquiring unit, for obtaining the preset quantity people of the camera shooting while opening light sourceFace image；
Pupil information acquiring unit, for extracting the pupil information in each facial image；
Vivo identification unit, for carrying out living body knowledge to the pupil information according to pre-stored pupil size threshold valueNot, whether the facial image that judgement currently obtains is living body faces image；
Face identification unit, for extracting the people of the facial image when the facial image is living body faces imageFace information, face template according to the pre-stored data carry out recognition of face to the face information.
Compared with prior art, the face identification system disclosed by the invention based on pupil information, first in response faceWhen identifying instruction, Face datection unit, which detects, whether there is face in the coverage of camera, and works as and detect the camera shootingFor the coverage of head there are when face, light source opening unit opens light source；Then facial image acquiring unit is opening light sourceThe preset quantity facial image of the camera shooting is obtained simultaneously, and pupil information acquiring unit extracts each face figurePupil information as in, vivo identification unit carry out living body knowledge to the pupil information according to pre-stored pupil size threshold valueNot；Finally when the facial image is living body faces image, face identification unit extracts the face information of the facial image,Face template according to the pre-stored data carries out recognition of face to the face information.It solves in the prior art because face characteristic hasThere is changeability, may cause face identification system and rejection phenomenon occurs, while causing people using because of the changeability of face characteristicThe principle of face identifying system rejection, cracks face recognition technology using resources such as photo, videos, so as to cause recognition of face systemThe problem of mistake of system is known, and the reliability of face recognition technology reduces, the mistake that can effectively solve face identification system is known and rejection is existingAs improving the reliability of face recognition technology.
As an improvement of the above scheme, the pupil information acquiring unit is specifically used for:
The left pupil diameter in each facial image is extracted, and the right pupil extracted in each facial image is straightDiameter；
The absolute value of the difference between the left pupil diameter in each facial image is obtained, and obtains each peopleThe absolute value of the difference between right pupil diameter in face image；
Take the absolute value of the difference between the absolute value of the difference between the left pupil diameter and the right pupil diameterIn maximum value be the pupil information.
As an improvement of the above scheme, the vivo identification unit is specifically used for:
Judge whether the pupil information is greater than pre-stored pupil size threshold value；
If so, determining that the facial image currently obtained is living body faces image；If it is not, then determine currently to obtainThe facial image is non-living body facial image.
As an improvement of the above scheme, if the face identification unit is for the face information and the face templateMatching degree is greater than or equal to preset matching value, then determines recognition of face success；If the face information and the face templateMatching degree is less than the preset matching value, then determines that recognition of face fails；
The face information includes but is not limited to facial contour, eye contour, eye position information, nose profile and noseLocation information.
To achieve the above object, the embodiment of the present invention also provides a kind of face recognition device based on pupil information, includingProcessor, memory and storage in the memory and are configured as the computer program executed by the processor, instituteState the recognition of face based on pupil information realized as described in above-mentioned any embodiment when processor executes the computer programMethod.
Detailed description of the invention
Fig. 1 is a kind of flow chart of face identification method based on pupil information provided in an embodiment of the present invention；
Fig. 2 is extraction pupil information in a kind of face identification method based on pupil information provided in an embodiment of the present inventionFlow chart；
Fig. 3 is a kind of structural block diagram of face identification system 10 based on pupil information provided in an embodiment of the present invention；
Fig. 4 is a kind of structural block diagram of face recognition device 20 based on pupil information provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, completeSite preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based onEmbodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every otherEmbodiment shall fall within the protection scope of the present invention.
Embodiment one
It is a kind of process of face identification method based on pupil information provided in an embodiment of the present invention referring to Fig. 1, Fig. 1Figure；Include:
When S1, response recognition of face instruction, detect in the coverage of camera with the presence or absence of face；
S2, when detecting that the coverage of the camera there are when face, opens light source, so that the light source exposes toOn face；
S3, the preset quantity facial image that the camera shooting is obtained while opening light source, and extract eachPupil information in the facial image；
S4, vivo identification is carried out to the pupil information according to pre-stored pupil size threshold value, judges current obtainThe facial image whether be living body faces image；
S5, when the facial image be living body faces image when, the face information of the facial image is extracted, according to preparatoryThe face template of storage carries out recognition of face to the face information.
It is worth noting that face information described in the embodiment of the present invention does not include pupil information, the face information packetInclude but be not limited to facial contour, eye contour, eye position information, nose profile and nose shape information.The present embodiment is mentionedThe face identification method based on pupil information supplied can execute realization by terminal device, and the terminal device can be handMachine, tablet computer or other terminal devices include camera in the terminal device, for acquiring image.
Specifically, first establishing face before the terminal device executes the face identification method based on pupil informationTemplate.During establishing the face template, the facial image of multiple users is acquired by the camera, it at this time can be withFace information is got from facial image, then it, can be by the terminal during camera acquires informationDisplay reminding information in equipment, to guide user to carry out information collection.For example occur one in the display screen of the terminal devicePersonage's frame that posture is shot for correcting user guides user to carry out correcting posture, while also can play voice or text promptUser carries out correcting posture, to get the image that can effectively identify, and then extracts the face information, obtains describedFace template.
Preferably, the pupil size threshold value can be set to 0.When user is had been under natural light intensity, pupil isIt remains unchanged, only when receiving strong illumination suddenly, pupil can generate red-eye effect, and pupil will increase at this time.
Specifically, in step sl, response recognition of face instruction, the recognition of face instruction can be user in payment orPerson unlocks the instruction issued when mobile phone.Preferably, instruction can be sent by when control centre is responsive to recognition of face instructionTo the camera, so as to whether there is face in the coverage of the camera detection camera, and it is anti-to will test resultIt feeds the control centre.
Specifically, in step s 2, it is preferred that when detecting that the coverage of the camera there are when face, opensLight source, so that on the source emissioning light line to face.At this point, pupil can generate red-eye effect.
Specifically, in step s3, the camera starts to shoot while opening light source, obtains the camera and clapA preset quantity taken the photograph facial image.Preferably, the camera can be continuously shot in a short time, for example be clapped in 3 secondsTake the photograph 5 facial images.Then in the process, pupil is caused to change because of the irradiation of light source in the facial image got, it is describedThe process that user's pupil is gradually increased is able to record in the facial image of camera shooting, so as to according to judging userThe situation of change of pupil is to determine whether be living body.
Specifically, extracting the pupil information in each facial image after obtaining the facial image.Referring to fig. 2,Fig. 2 is the flow chart that pupil information is extracted in a kind of face identification method based on pupil information provided in an embodiment of the present invention；Include:
Left pupil diameter in S31, each facial image of extraction, and extract the right pupil in each facial imageBore dia；
The absolute value of the difference between left pupil diameter in S32, each facial image of acquisition, and obtain each instituteState the absolute value of the difference between the right pupil diameter in facial image；
S33, the exhausted of difference between the absolute value and the right pupil diameter of the difference between the left pupil diameter is takenIt is the pupil information to the maximum value in value.
Specifically, in step s 4, carrying out living body knowledge to the pupil information according to pre-stored pupil size threshold valueNot, whether the facial image that judgement currently obtains is living body faces image.Preferably, judge whether the pupil information is bigIn pre-stored pupil size threshold value；If the pupil information is greater than pre-stored pupil size threshold value, determine currentThe facial image obtained is living body faces image, and active user is living body；If the pupil information is less than or equal to preparatoryThe pupil size threshold value of storage determines the facial image currently obtained then for non-living body facial image, and active user is non-Living body, the facial image currently obtained may be that the camera is shot according to user picture.Pass through the situation of change of pupilTo determine whether being living body, the variation for solving human face expression causes face identification system that rejection phenomenon occurs, and solves simultaneouslyUsing the principle for causing face identification system rejection due to the changeability because of face characteristic, cracked using resources such as photo, videosFace recognition technology, the problem of knowledge so as to cause the mistake of face identification system.
Specifically, the pupil information is no more than pupil size limit value, because the camera is continuous in a short timeFace is shot, therefore during user carries out recognition of face, the distance between user and the camera are remained unchanged, fromAnd the facial image that the camera is got is almost the same, and user is to be in the shooting process of the cameraLight irradiating state can occur slight change so as to cause pupil size, but not be widely varied, therefore can be by settingA fixed pupil size limit value is excluded when the external world carries out recognition of face using photo, by mobile photo leads to described take the photographAs head obtain to facial image in user pupil information be variation, so as to cause misrecognition the case where, can be improvedThe reliability of face recognition technology.
Specifically, in step s 5, when the facial image is living body faces image, extracting the people of the facial imageFace information, face template according to the pre-stored data carry out recognition of face to the face information.Preferably, if the face informationIt is greater than or equal to preset matching value with the matching degree of the face template, then determines recognition of face success；If the face informationIt is less than the preset matching value with the matching degree of the face template, then determines that recognition of face fails.
When it is implemented, detecting in the coverage of camera first when responding recognition of face instruction with the presence or absence of peopleFace, and when detecting that the coverage of the camera there are when face, opens light source；Then it is obtained while opening light sourceThe preset quantity facial image of the camera shooting, and the pupil information in each facial image is extracted, and according toPre-stored pupil size threshold value carries out vivo identification to the pupil information；Finally when the facial image is living body facesWhen image, the face information of the facial image is extracted, face template according to the pre-stored data carries out people to the face informationFace identification.
Compared with prior art, a kind of face identification method based on pupil information disclosed by the invention, solves existingBecause face characteristic has changeability in technology, it may cause face identification system and rejection phenomenon occur, while using because of face spyThe changeability of sign and the principle for causing face identification system rejection, face recognition technology is cracked using resources such as photo, videos,Know so as to cause the mistake of face identification system, the problem of reliability of face recognition technology reduces, can effectively solve recognition of faceThe mistake of system knows and rejection phenomenon, improves the reliability of face recognition technology.
Embodiment two
It is a kind of structure of face identification system 10 based on pupil information provided in an embodiment of the present invention referring to Fig. 3, Fig. 3Block diagram；Include:
Face datection unit 11, when for responding recognition of face instruction, detecting in the coverage of camera whether there isFace；
Light source opening unit 12, for when detecting that the coverage of the camera there are when face, opens light source, withExpose to the light source on face；
Facial image acquiring unit 13, for obtaining the preset quantity of the camera shooting while opening light sourceFacial image；
Pupil information acquiring unit 14, for extracting the pupil information in each facial image；
Vivo identification unit 15, for carrying out living body knowledge to the pupil information according to pre-stored pupil size threshold valueNot, whether the facial image that judgement currently obtains is living body faces image；
Face identification unit 16, for extracting the facial image when the facial image is living body faces imageFace information, face template according to the pre-stored data carry out recognition of face to the face information.
It is worth noting that face information described in the embodiment of the present invention does not include pupil information, the face information packetInclude but be not limited to facial contour, eye contour, eye position information, nose profile and nose shape information.The present embodiment is mentionedThe face identification system 10 based on pupil information supplied can be mobile phone, tablet computer or other terminal devices, described to be based on pupilIt include camera in the face identification system 10 of hole information, for acquiring image.
Specifically, first establishing people before the face identification system 10 based on pupil information carries out the recognition of faceFace template.During establishing the face template, the facial image of multiple users is acquired by the camera, at this time may be usedIt, then, can be by the base during camera acquires information to get face information from facial imageIn display reminding information on the face identification system 10 of pupil information, to guide user to carry out information collection.Such as in the baseOccur personage's frame that one shoots posture for correcting user in the display screen of the face identification system 10 of pupil information and guides useFamily carries out correcting posture, while also can play voice or text prompt user progress correcting posture, to get effectiveThe image that can be identified, and then the face information is extracted, obtain the face template.
Preferably, the pupil size threshold value can be set to 0.When user is had been under natural light intensity, pupil isIt remains unchanged, only when receiving strong illumination suddenly, pupil can generate red-eye effect, and pupil will increase at this time.
Specifically, the Face datection unit 11 responds recognition of face instruction, the recognition of face instruction can be userThe instruction issued when paying or unlocking mobile phone.It preferably, can be by being responsive to face in the Face datection unit 11When identification instruction, the camera is sent instructions to, so as to whether there is in the coverage of the camera detection cameraFace, and will test result and feed back to the Face datection unit 11.
Specifically, it is preferred that when the Face datection unit 11 detects the coverage of the camera, there are facesWhen, the light source opening unit 12 opens light source, so that on the source emissioning light line to face.At this point, pupil can generate it is redEye effect.
Specifically, the camera starts to shoot while the light source opening unit 12 opens light source, the faceImage acquisition unit 13 obtains the preset quantity facial image of the camera shooting.Preferably, the camera can beIt is continuously shot in short time, for example shoots 5 facial images in 3 seconds.Then in the process, the facial image acquiring unitPupil is caused to change because of the irradiation of light source in 13 facial images got, in the facial image of the camera shootingBe able to record the process that user's pupil is gradually increased, so as to according to the situation of change for judging user's pupil to determine whether beingLiving body.
Specifically, the pupil information obtains single after the facial image acquiring unit 13 obtains the facial imageMember 14 extracts the pupil information in each facial image.Specifically, the pupil information acquiring unit 14 extracts each instituteState the pupil information in facial image.The left pupil that the pupil information acquiring unit 14 is extracted in each facial image is straightDiameter, and extract the right pupil diameter in each facial image；The pupil information acquiring unit 14 obtains each peopleThe absolute value of the difference between left pupil diameter in face image, and obtain the right pupil diameter in each facial image itBetween difference absolute value；The pupil information acquiring unit 14 takes absolute value and the institute of the difference between the left pupil diameterStating the maximum value in the absolute value of the difference between right pupil diameter is the pupil information.
Specifically, the vivo identification unit 15 carries out the pupil information according to pre-stored pupil size threshold valueVivo identification judges whether the facial image currently obtained is living body faces image.Preferably, the vivo identification unit15 judge whether the pupil information is greater than pre-stored pupil size threshold value；If the pupil information is greater than pre-storedPupil size threshold value, then the vivo identification unit 15 determine the facial image currently obtained for living body faces image, whenPreceding user is living body；If the pupil information is less than or equal to pre-stored pupil size threshold value, the vivo identification listMember 15 determines that the facial image currently obtained is non-living body facial image, and active user is non-living body, the people currently obtainedFace image may be that the camera is shot according to user picture.By the situation of change of pupil to determine whether being living body,Solve human face expression variation cause face identification system occur rejection phenomenon, while solve using because of face characteristic canIt is denaturalized and is caused the principle of face identification system rejection, cracks face recognition technology using resources such as photo, videos, to leadThe problem of causing the mistake of face identification system to know.
Specifically, the pupil information is no more than pupil size limit value, because the camera is continuous in a short timeFace is shot, therefore during user carries out recognition of face, the distance between user and the camera are remained unchanged, fromAnd the facial image that the camera is got is almost the same, and user is to be in the shooting process of the cameraLight irradiating state can occur slight change so as to cause pupil size, but not be widely varied, therefore can be by settingA fixed pupil size limit value is excluded when the external world carries out recognition of face using photo, by mobile photo leads to described take the photographAs head obtain to facial image in user pupil information be variation, so as to cause misrecognition the case where, can be improvedThe reliability of face recognition technology.
Specifically, when the vivo identification unit 15 determines the facial image for living body faces image, the faceRecognition unit 16 extracts the face information of the facial image, and face template according to the pre-stored data carries out the face informationRecognition of face.Preferably, if the face information and the matching degree of the face template are greater than or equal to preset matching value, instituteIt states face identification unit 16 and determines recognition of face success；If the face information and the matching degree of the face template are less than describedPreset matching value, then the face identification unit 16 determines recognition of face failure.
When it is implemented, Face datection unit 11 detects the shooting model of camera first when responding recognition of face instructionWith the presence or absence of face in enclosing, and when detecting the coverage of the camera there are when face, light source opening unit 12 is openedLight source；Then facial image acquiring unit 13 obtains the preset quantity face of the camera shooting while opening light sourceImage, pupil information acquiring unit 14 extract the pupil information in each facial image, and vivo identification unit 15 is according to pre-The pupil size threshold value first stored carries out vivo identification to the pupil information；Finally when the facial image is living body faces figureWhen picture, face identification unit 16 extracts the face information of the facial image, and face template according to the pre-stored data is to the peopleFace information carries out recognition of face.
Compared with prior art, the face identification system disclosed by the invention based on pupil information, solves the prior artIt is middle because face characteristic has changeability, may cause face identification system and rejection phenomenon occur, while using because of face characteristicChangeability and the principle for causing face identification system rejection, face recognition technology is cracked using resources such as photo, videos, thusCause the mistake of face identification system to be known, the problem of reliability of face recognition technology reduces, can effectively solve face identification systemMistake know and rejection phenomenon, improve the reliability of face recognition technology.
Embodiment three
Referring to fig. 4, Fig. 4 is a kind of structure of face recognition device 20 based on pupil information provided in an embodiment of the present inventionBlock diagram；The face recognition device 20 based on pupil information of the embodiment includes: processor 21, memory 22 and is stored in instituteState the computer program that can be run in memory 22 and on the processor 21.The processor 21 executes the computer journeyThe step in above-mentioned each screen control method embodiment, such as step S1~S5 shown in FIG. 1 are realized when sequence.Alternatively, describedProcessor 21 realizes the function of each unit in above-mentioned each Installation practice, such as the face inspection when executing the computer programSurvey the function of unit 11.
Illustratively, the computer program can be divided into one or more module/units, one or moreA module/unit is stored in the memory, and is executed by the processor 21, to complete the present invention.It is one orMultiple module/units can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describingImplementation procedure of the computer program in the face recognition device 20 based on pupil information.For example, the computerProgram can be divided into Face datection unit 11, light source opening unit 12, facial image acquiring unit 13, pupil information and obtainUnit 14, vivo identification unit 15 and face identification unit 16, each module concrete function refers to be based in above-described embodiment twoThe function of modules in the face identification system 10 of pupil information, details are not described herein.
The face recognition device 20 based on pupil information can be desktop PC, notebook, palm PC andCloud server etc. calculates equipment.The face recognition device 20 based on pupil information may include, but be not limited only to, processor21, memory 22.It will be understood by those skilled in the art that the schematic diagram is only based on the face recognition device of pupil information20 example does not constitute the restriction to the face recognition device 20 based on pupil information, may include more or more than illustratingFew component perhaps combines certain components or different components, such as the face recognition device 20 based on pupil informationIt can also include input-output equipment, network access equipment, bus etc..
The processor 21 can be central processing unit (Central Processing Unit, CPU), can also beOther general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processorDeng the processor 21 is the control centre of the face recognition device 20 based on pupil information, utilizes various interfaces and lineRoad connects the various pieces of the entirely face recognition device 20 based on pupil information.
The memory 22 can be used for storing the computer program and/or module, the processor 22 by operation orComputer program and/or the module stored in the memory is executed, and calls the data being stored in memory, is realizedThe various functions of the face recognition device 20 based on pupil information.The memory 22 can mainly include storing program area andStorage data area, wherein application program needed for storing program area can store operating device, at least one function (such as soundPlaying function, image player function etc.) etc.；Storage data area, which can be stored, uses created data (such as sound according to mobile phoneFrequency evidence, phone directory etc.) etc..In addition, the memory 22 may include high-speed random access memory, it can also include non-easyThe property lost memory, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital(Secure Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or otherVolatile solid-state part.
Wherein, if the integrated module/unit of the face recognition device 20 based on pupil information is with software function listMember form realize and when sold or used as an independent product, can store in a computer-readable storage mediumIn.Based on this understanding, the present invention realizes all or part of the process in above-described embodiment method, can also pass through computerProgram is completed to instruct relevant hardware, and the computer program can be stored in a computer readable storage medium, shouldComputer program is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer programIncluding computer program code, the computer program code can be source code form, object identification code form, executable fileOr certain intermediate forms etc..The computer-readable medium may include: can carry the computer program code anyEntity or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal andSoftware distribution medium etc..It should be noted that the content that the computer-readable medium includes can be according in jurisdictionLegislation and the requirement of patent practice carry out increase and decrease appropriate, such as in certain jurisdictions, according to legislation and patent practice, meterCalculation machine readable medium does not include electric carrier signal and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unitThe unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be withIt is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actualIt needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the inventionIn embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one orA plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understandAnd implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the artFor, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered asProtection scope of the present invention.