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Document image binarization method based on stroke structural symmetry

A document image, symmetry technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of unclear printing, noise, etc., to achieve enhanced adaptability, strong local adaptability, and excellent binarization Effect

Active Publication Date: 2016-12-07
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practical applications, the quality of text images may vary greatly, and there may be troubles such as unclear printing or noise

Method used

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  • Document image binarization method based on stroke structural symmetry
  • Document image binarization method based on stroke structural symmetry
  • Document image binarization method based on stroke structural symmetry

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Embodiment Construction

[0028] The technical problems solved by the embodiments of the present invention, the technical solutions adopted and the technical effects achieved are clearly and completely described below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in the present application, all other equivalent or obviously modified embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Embodiments of the invention can be embodied in many different ways as defined and covered by the claims.

[0029] It should be noted that, in the following description, many specific details are given for the convenience of understanding. It may be evident, however, that the present invention may be practiced without these specific details.

[0030] It should also ...

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PUM

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Abstract

The invention discloses a document image binarization method based on stroke structural symmetry. The method includes the following steps: determining the gradient image of a document image, wherein the document image is a grayscale image; utilizing the OTSU method to conduct global binarization processing on the gradient image; based on the width of character strokes and the regional gradient symmetry, removing non-stroke gradient noise of the image which undergoes the global binarization processing, and determining a gradient image being regional gradient symmetrical; based on the gradient image being regional gradient symmetrical, determining a structural symmetry element image; based on the local intensity of foreground elements of the structural symmetry element image, filtering noise, and conducting local binarization processing based on voting strategy in combination with the document image. According to the invention, the embodiments increase the adaptability of character extraction from document image.

Description

technical field [0001] The embodiment of the present invention relates to the technical fields of pattern recognition and optical character recognition, and specifically relates to a document image binarization method based on stroke structure symmetry, but is by no means limited thereto. Background technique [0002] In recent years, with the rapid development of network technology, human beings have entered the information age. Traditional information acquisition methods, such as books, newspapers, and periodicals, are inconvenient to carry and require a lot of space for storage, which is not easy to edit and organize. and spread. People are more and more inclined to use electronic devices such as disks for storage. Therefore, it is of great significance to quickly input the text information of paper materials into the computer. OCR (Optical Character Recognition, Optical Character Recognition) technology was born from this. OCR technology can realize high-speed and aut...

Claims

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Application Information

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IPC IPC(8): G06K9/38G06K9/40
CPCG06V10/28G06V10/30
Inventor 肖柏华何坤史存召贾馥溪王春恒
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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