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A pertinent bill content identification system and method based on table positioning and depth learning

A content recognition and deep learning technology, applied in the application field of image recognition technology, can solve problems such as inaccuracy, and achieve the effect of effective processing, effective background texture and text blurring

Active Publication Date: 2019-01-18
南京安链数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the bill has shading, blur or image noise, the traditional text position positioning and segmentation of individual characters often encounter very inaccurate situations

Method used

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  • A pertinent bill content identification system and method based on table positioning and depth learning
  • A pertinent bill content identification system and method based on table positioning and depth learning

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Embodiment Construction

[0034] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0035] It should be noted that the terms "comprising" and "having" in the specification and claims of the present application and the above drawings, as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a series of steps or unit of process, method, system, product or device is not necessarily limited to those...

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Abstract

The invention discloses a pertinent bill content identification system and method based on table positioning and depth learning. The invention is directed to a particular bill and automatically locates the cell position of the table in the ticket, a text block is extracted, and character segmentation of the text block is required in comparison with a general ocr recognition method. The invention eliminates the modification step, and can directly recognize indefinite-length multi-character text block by constructing a sample pertinently and training a depth learning model, and can effectively deal with background texture and text blur.

Description

technical field [0001] The invention belongs to the application field of image recognition technology, in particular to a targeted bill content recognition system and method based on table positioning and deep learning. Background technique [0002] At this stage, many units have a lot of receipts that need to be managed and entered. Manual sorting is time-consuming and labor-intensive, and errors are prone to occur. Recognition of receipts has become a problem that needs to be solved in the automation of common scenarios such as classification of receipts in the office, receipt data entry, and verification data. Realizing the automatic recognition of bill content can help staff greatly improve work efficiency, while optimizing the company's overall workflow. [0003] The current OCR technology in image processing can well recognize various printed texts with clear backgrounds. After locating the text position, usually a single character is segmented and a single character ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/34
CPCG06V30/412G06V10/22G06V10/267
Inventor 薛涵凛乔洪波郭伟李林亮
Owner 南京安链数据科技有限公司
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