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Visual Domain Knowledge-based Multimodal Zoning for Textual Region Localization in Noisy Historical Document Images
This repository contains the implementation of zoning solution based on multimodal approach using our novel visual representation,Gravity-map. The model predicts textual regions in a set of closed polygons on a document image. The underlying CNN models used in our solution isdhSegment andFPN.
The detail of this work can be found in the correspondingpaper.
| Step 1: Oversegment image using Voronoi-tesselation | Step 2: Compute geometric feature,gravity | Step 3: ConstructGravity-map |
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Visual Domain Knowledge-based Multimodal Zoning Textual Region Localization in Noisy Historical Document Images
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