Multi-bill mixed shot image correction method and system based on deep learning

A deep learning and billing technology, applied in the field of image processing, to achieve the effects of suppressing edge information interference, improving image correction accuracy, and reducing labor costs and time costs

Active Publication Date: 2021-04-09
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a multi-receipt mixed-shot image correction method and system based on deep learning to solve the problem of how to obtain a single-target bill image from a multi-receipt mixed-shot image

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  • Multi-bill mixed shot image correction method and system based on deep learning
  • Multi-bill mixed shot image correction method and system based on deep learning
  • Multi-bill mixed shot image correction method and system based on deep learning

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[0056] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0057] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention discloses a multi-bill mixed shot image correction method and system based on deep learning. By designing a deep learning target detection model, a mixed shot image is cut into external rectangular regions of all single-target bills, and the class information is marked, so that the system supports the simultaneous correction of a plurality of bill targets; image enhancement processing is added before edge detection, so that edge information interference caused by a bill target complex background is suppressed, the edge detection precision is improved, and then the correction effect is affected; and through straight line detection, a straight line fusion module and straight line filtering processing in image correction, bill target irrelevant edge information is further filtered and removed, and thus the image correction precision is improved. According to the invention, the multi-bill mixed arrangement image correction problem can be effectively solved, the end-to-end integrated solution from multi-target input to multi-target correction image output is realized, the labor cost and the time cost are reduced, and a guarantee is provided for subsequent text high-precision identification.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, relates to a method and system for correcting mixed-shot images of multiple bills based on deep learning. Background technique [0002] Text information recognition in tax-related bill objects includes automatic extraction of value-added tax invoices, quota tickets, train tickets, air tickets, taxi tickets and other bill text information. The automatic recognition of such objects facilitates users to quickly enter information and improves the efficiency of information collection in various industries , Reduce labor costs. The input of tax-related bill target recognition is an image containing the bill target. Due to factors such as shooting angle and shooting position, the bill target in the image will be tilted or distorted at various angles, and such distortion will affect the accuracy of subsequent text recognition; In addition, in order to improve the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/46G06N3/08
CPCG06N3/08G06V10/243G06V10/44G06V2201/07Y02T10/40
Inventor 闫凯金洪亮林文辉李宏伟梅俊辉王志刚张朝霞
Owner AEROSPACE INFORMATION
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