obj area	Target area	string	Target upper left and lower right corner coordinates
				rotation	Image rotation angle	string	Four angles: 0,90, 180, 270
light	Brightness of light	string	0 is abnormal and 1 is normal
				lightValue	Brightness value	string	The value range is as follows: 0-1
blur	Degree of ambiguity	string	0 is abnormal and 1 is normal
				blurValue	Ambiguity value	string	The value range is as follows: greater than 0
lack corner	Whether or not there is a corner defect	string	0 is abnormal and 1 is normal
				is flare	Whether light spot is present or not	string	0 is abnormal and 1 is normal
flare ratio	Duty cycle of spot area	string	The value range is as follows: 0-1

And step S222, identifying and tampering identifying the information on the identity document photo through the big data PS detection interface, and giving a score of the big data PS detection interface.

Step S223, determining that the final result depends on the proportion of the big data PS detection interface according to the historical success rate of the big data PS detection interface, and calculating the difference value between the proportion and 1, wherein the difference value is a non-negative number; i.e., (1-weight).

Step S224, multiplying the difference value by the OCR picture recognition score to obtain a second mode detection score; and multiplying the specific gravity and the big data PS detection interface score to obtain a third mode detection score.

And step S225, calculating to obtain the final score of the filling order by adopting an effective scoring algorithm according to the third mode detection score and the second mode detection score.

In the embodiment of the invention, the proportion of the OCR picture recognition score in the final score is inversely proportional to the proportion of the big data PS detection interface. Specifically, if the number of accumulated identity document photos uploaded by the user in the photo identification system is larger, the proportion of the final result depending on the big data PS detection interface is increased, and the OCR (optical character recognition) photo recognition score S is reduced₂The ratio of the total score to the final score to increase the total scoreAnd the process steps of uploading identity document photos repeatedly in the follow-up process are reduced, and the approval efficiency is improved when business handling is realized.

For example, the calculation formula of the final score of the form may be:

S＝(S₂*(1-Weight)+S₃*Weight)/2；

wherein S is the final score, S₂Identifying a score, S, for an OCR picture₃The weight is the weight of the big data PS detection interface which is depended on the final result.

In an optional embodiment, the automatic approval method may further include: and carrying out face recognition on the form filling user. The face recognition part is a configurable module, and in a preferred embodiment, the automatic approval method comprises a face recognition part, and the face recognition can be living body detection, such as detection according to limb movements, head movements, facial movements, gesture recognition, voice recognition and the like. Specifically, as shown in fig. 4, calculating a final score of the form filling after performing face recognition on the form filling user may include the following steps:

step S400, carrying out face recognition on the form filling user, and calculating to obtain a face recognition score, namely a first mode detection score;

step S230, calculating a final score of the form filling by using an effective scoring algorithm according to the first mode detection score, the second mode detection score, and the third mode detection score.

Illustratively, the automatic approval method based on the picture processing interface specifically includes the following steps:

acquiring an identity document photo uploaded by a form filling user;

carrying out face recognition on the form filling user, and calculating to obtain a face recognition score, namely a first mode detection score;

tampering identification is carried out on the information on the identity document photo through the big data PS detection interface, and a big data PS detection interface score is given; multiplying the specific gravity and the big data PS detection interface score to obtain a third mode detection score;

performing OCR picture recognition on the information on the identity document photo, judging the accuracy of uploading the identity document photo, and giving an OCR picture recognition score; multiplying the difference value by the OCR picture recognition score to obtain a second mode detection score;

and calculating a final score of the filling order by adopting an effective score algorithm according to the first mode detection score, the second mode detection score and the third mode detection score, wherein the calculation formula of the effective score algorithm can be as follows:

S＝(S₁+S₂*(1-Weight)+S₃*Weight)/2；

wherein S is the final score, S₁Score for face recognition, S₂Identifying a score, S, for an OCR picture₃The weight is the weight of the big data PS detection interface which is depended on the final result.

In the above preferred embodiment of the present invention, the value is detected in three modes, the final score is obtained according to the calculation formula, and then the final score is compared with the preset threshold value to determine whether to enter the automatic approval process. The face recognition score, namely the first mode detection score, can reflect the reliability of the living body score; the OCR picture recognition score, namely the second mode detection score can reflect the accuracy of uploading the identity document photo; the big data PS detection interface score, i.e., the third mode detection score, can reflect the authenticity of the identity document. According to the above preferred embodiment of the application, the authenticity and the validity of the content of the user form filling and the reliability of automatic approval according to the content are ensured through the combined detection of the three different modes, namely the dynamic mode, the static mode and the dynamic mode; the accuracy rate of automatic approval is improved; and a plurality of unnecessary links are saved when the bill filling user goes off the bank line to handle the business, and the approval efficiency of the whole bank is greatly improved.

In the embodiment of the invention, the face recognition can be completed through one or more of a background algorithm model, a silence detection data model, a video living body algorithm model and the like in the face recognition system.

In the embodiment of the invention, the living body detection is preferably carried out by adopting a video recognition mode mainly for carrying out face recognition. Illustratively, the face recognition score may be a live-shot score. For example, it may be determined whether the current shooting is a live shooting according to the change degree of the background light of the screen of the shooting device and the accuracy of the corresponding action prompted by the bill filling user according to the shooting device, and a face recognition score is given. The shooting device is, for example, a mobile phone or the like. The face recognition score in the embodiment of the invention is mainly used for reflecting the reliability that the shooting object is a living body.

Optionally, the face recognition score may also be a composite score, for example, including the following steps: comparing and analyzing the face recognition result of the form filling user with the characteristics of various copied photos in the background algorithm model database through a background algorithm model to obtain scores belonging to the copied characteristics; judging whether a shot picture in face recognition is a portrait shot directly or not through a silence detection data model, and giving a portrait shot picture score; judging whether the current shooting is live shooting or not according to the change degree of the background light of the screen of the shooting equipment and the accuracy of corresponding actions made by the bill filling user according to the prompt of the shooting equipment through a video live body algorithm model, and giving a live body shooting score; and integrating the scores belonging to the copying characteristics, the scores of the portrait photo and the scores of the living body photo to obtain the face recognition scores.

In the above embodiment of the present invention, the face recognition score, i.e., the first pattern detection score, may reflect the reliability of the living body score; the OCR picture recognition score or second pattern detection score may embody the accuracy of uploading the identity document photo. The big data PS probe interface score or third mode detection score may reflect the authenticity of the identity document. The embodiment of the invention ensures the authenticity, validity and reliability of the user form filling content through the combined detection of the three different modes, namely dynamic, static and dynamic modes; the accuracy rate of automatic approval is improved; and a plurality of unnecessary links are saved when the bill filling user goes off the bank line to handle the business, and the approval efficiency of the whole bank is greatly improved.

In the present invention, in step S300, it is determined whether the final score is higher than a preset threshold, and if so, an automatic approval process is performed. The preset threshold value can be set according to actual conditions, for example, the preset threshold value can be set to 60 points, if the final score exceeds 60 points, the filling order is judged to be real and effective, and then the automatic approval business can be rapidly completed.

In an optional embodiment, after the step S300 of determining that the final score is higher than the preset threshold and entering the automatic approval process, the method further includes: and updating the proportion of the final result dependent on the image processing interface in real time according to the success rate of the automatic approval result so as to enable the subsequent final score to be calculated more accurately. According to the embodiment of the invention, the proportion is adjusted in real time, so that the reliability of the final score is further improved, and the accuracy of automatic approval is improved.

Fig. 5 schematically shows the structure of an automatic approval apparatus based on a picture processing interface according to an embodiment of the present invention. As shown in fig. 5, the present application provides an automatic approval apparatus based on a picture processing interface, including: an acquisition unit 100, a calculation unit 200, and a determination unit 300.

The acquiring unit 100 is configured to perform a step of acquiring an identity document photo uploaded by a form filling user.

The computing unit 200 is configured to perform picture processing on the identity document photo, and give a picture processing result score; according to the historical success rate of the picture processing interface, determining that the final result depends on the specific Weight of the picture processing interface, wherein the Weight is more than or equal to 0 and less than or equal to 1; and then calculating to obtain a final score of the filling order according to the score of the picture processing result and the proportion of the final result depending on the picture processing interface.

The determining unit 300 is configured to perform a step of determining whether the final score is higher than a preset threshold, and if so, entering an automatic approval process.

In an optional embodiment, the apparatus may further include: and the face recognition unit is used for carrying out face recognition on the form filling user and calculating to obtain a face recognition score, namely a first mode detection score.

In an alternative embodiment, the calculating unit 200 may include a picture processing module, a specific gravity determining module, a final score calculating module, and the like.

The image processing module is used for performing image processing on the identity document photo and giving an image processing score. Illustratively, the image processing module is configured to perform tampering identification on information on the identity document photo through the big data PS detection interface to obtain a tampering condition, and provide a score for the big data PS detection interface according to the tampering condition. Illustratively, the image processing module is configured to perform OCR image recognition on information on the identity document photo, determine accuracy of uploading the identity document photo, and give an OCR image recognition score.

And the proportion determining module is used for executing the step of determining that the final result depends on the proportion of the big data PS detection interface according to the historical success rate of the big data PS detection interface.

The final score calculating module is used for calculating to obtain a filling order final score according to the picture processing result score and the proportion of the final result depending on the picture processing interface; and the step of calculating the final score of the filling order according to the picture processing result score, the specific gravity of the final result depending on the picture processing interface and the first mode detection score is also executed.

For example, in the step of calculating the final score of the form according to the picture processing result score, the specific gravity of the final result dependent picture processing interface, and the first pattern detection score, the calculation formula may be:

S＝(S₁+S₂*(1-Weight)+S₃*Weight)/2；

wherein S is the final score of the fill sheet, S₁Score for face recognition, S₂Identifying a score, S, for an OCR picture₃For big data PS detection interfaceIn other words, weight is the proportion of the PS detection interface of the big data which is depended on the final result.

In the embodiment of the invention, the face recognition score, namely the first mode detection score, can reflect the reliability of the living body score; the OCR picture recognition score, or second pattern detection score, may reflect the accuracy of uploading the identity document photo. The big data PS probe interface score or third mode detection score may reflect the authenticity of the identity document. The embodiment of the invention ensures the authenticity, validity and reliability of the user form filling content through the combined detection of the three different modes, namely dynamic, static and dynamic modes; the accuracy rate of automatic approval is improved; and a plurality of unnecessary links are saved when the bill filling user goes off the bank line to handle the business, and the approval efficiency of the whole bank is greatly improved.

Fig. 6 schematically shows the structure of the electronic device of the present invention. As shown in fig. 6, theelectronic apparatus 1 may include: memory 11, processor 10, a bus, and a computer program, such as an automated approval program 12, stored in memory 11 and executable on the processor 10. When the processor 10 executes the computer program, the steps of the automatic approval method based on the picture processing interface according to the present invention are implemented. For example, the method realizes the acquisition of the identity document photo uploaded by the form filling user; processing the picture of the identity document photo, and giving a score of a picture processing result; according to the historical success rate of the picture processing interface, determining that the final result depends on the specific Weight of the picture processing interface, wherein the Weight is more than or equal to 0 and less than or equal to 1; calculating to obtain a final score of the filling order according to the score of the picture processing result and the proportion of the final result depending on the picture processing interface; and judging whether the final score is higher than a preset threshold value, if so, entering an automatic approval process and the like.

The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory may in some embodiments be an internal storage unit of theelectronic device 1, such as a removable hard disk of theelectronic device 1. The memory 11 may also be an external storage device of theelectronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on theelectronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of theelectronic device 1. The memory 11 may be used not only to store application software installed in theelectronic device 1 and various types of data, such as codes of the automatic approval program 12, but also to temporarily store data that has been output or is to be output.

The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of theelectronic device 1, connects various components of theelectronic device 1 by using various interfaces and lines, and executes various functions and processes data of theelectronic device 1 by running or executing programs or modules stored in the memory 11 and calling data stored in the memory 11.

The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.

It will be appreciated by a person skilled in the art that theelectronic device 1 with the above-described components does not constitute a limitation of theelectronic device 1, and that fewer or more components may be included, or that certain components may be combined, or that different arrangements of components may be provided. For example, although not shown, theelectronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. Theelectronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.

Further, theelectronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between theelectronic device 1 and other electronic devices.

Optionally, theelectronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), or optionally a standard wired interface, or a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in theelectronic device 1 and for displaying a visualized user interface, among other things.

It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.

The automatic approval program 12 stored in the memory 11 of theelectronic device 1 is a combination of a plurality of instructions, which when executed in the processor 10, may implement steps of a method or may implement functions of units and/or modules, such as: the method realizes the acquisition of the identity document photo uploaded by the form filling user; processing the picture of the identity document photo, and giving a score of a picture processing result; according to the historical success rate of the picture processing interface, determining that the final result depends on the specific Weight of the picture processing interface, wherein the Weight is more than or equal to 0 and less than or equal to 1; calculating to obtain a final score of the filling order according to the score of the picture processing result and the proportion of the final result depending on the picture processing interface; and judging whether the final score is higher than a preset threshold value, if so, entering an automatic approval process and the like.

In the present invention, the integrated module/unit of theelectronic device 1 may be stored in a computer readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. The computer readable storage medium may be any tangible medium containing or storing a program or instructions, and may store a computer program that can be executed, and when the computer program is executed by the processor 10, the computer program implements, through hardware related to the stored program instructions, the functions of each step in the automatic approval method based on the picture processing interface or each unit/module in the system according to the present invention. For example, the method realizes the acquisition of the identity document photo uploaded by the form filling user; processing the picture of the identity document photo, and giving a score of a picture processing result; according to the historical success rate of the picture processing interface, determining that the final result depends on the specific Weight of the picture processing interface, wherein the Weight is more than or equal to 0 and less than or equal to 1; calculating to obtain a final score of the filling order according to the score of the picture processing result and the proportion of the final result depending on the picture processing interface; and judging whether the final score is higher than a preset threshold value, if so, entering an automatic approval process and the like. The computer-readable medium may include, for example: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and device may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.

The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or modules recited in the apparatus claims may also be implemented by one unit or module through software or hardware. The terms second, etc. are used to denote names, but not any particular order.

Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.