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Template matching-based merged cell table segmentation and identification method

A template matching and cell technology, applied in character and pattern recognition, neural learning methods, biological neural network models, etc., can solve problems such as low recognition accuracy, oblique tables cannot be recognized normally, and achieve the effect of ensuring digital reproduction

Active Publication Date: 2020-09-04
XIAN TECHNOLOGICAL UNIV
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Problems solved by technology

[0005] The present invention provides a method for segmenting and identifying merged cell tables based on template matching to solve the problems of low recognition accuracy for merged cell tables and the inability to normally identify skewed tables in existing methods

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  • Template matching-based merged cell table segmentation and identification method
  • Template matching-based merged cell table segmentation and identification method
  • Template matching-based merged cell table segmentation and identification method

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] see figure 1 , the basic train of thought of the inventive method is first to carry out the rectification of inclined form by the rectification algorithm based on straight line detection, through the form area detection algorithm based on contour detection, obtain the form area of ​​interest; The matching cell segmentation algorithm is used to segment and extract the cells of interest; finally, the trained BP neural network model i...

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Abstract

The invention discloses a template matching-based merged cell table segmentation and identification method, which comprises the following steps of: correcting an inclined table by adopting a table correction algorithm based on straight line detection provided by the method; secondly, segmenting an interested table area by using a table area detection algorithm based on contour detection; secondly,carrying out template matching and other operations on the determined table area by adopting the template matching-based merged cell table segmentation algorithm provided by the invention, and meanwhile, carrying out segmentation processing on the interested cell area to obtain each cell image; and finally, performing BP neural network identification on each cell image, and performing operationssuch as table digital reproduction and the like in combination with the template file and a BP identification result. Tests prove that the method can effectively solve the problem of segmentation andidentification of the inclined table image with multiple merged cells, is simple and effective, has certain practical feasibility, is also suitable for segmentation processing of complex tables, and has certain expansibility.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and image processing, in particular to a method for segmenting and recognizing merged cell tables based on template matching. Background technique [0002] With the continuous development of image processing technology and optical character recognition (OCR) technology, automatic processing of form information has become the key to many organizations building information systems. [0003] Table documents are an important carrier of business data, and it is of great significance to realize automatic data collection by studying how to realize automatic extraction of table document images. At present, most of the paper forms are stored as electronic forms by manual entry, which has problems such as heavy workload, tediousness, and low accuracy. Especially when cells are merged, there is a lack of a targeted processing method; among them, currently based on text location information For ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/32G06N3/08
CPCG06N3/084G06V30/413G06V10/242G06V10/25G06V10/267G06V10/44
Inventor 王鹏李亮亮高武奇岳鑫李晓艳吕志刚郭翔宇李超
Owner XIAN TECHNOLOGICAL UNIV
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