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Industrial character detection process based on imprecise segmentation

A detection process, inaccurate technology, applied in character recognition, character and pattern recognition, image analysis and other directions, can solve the problem of difficult detection, difficult characters and other problems, to reduce the difficulty of character segmentation, smooth and constant noise, reduce illumination The effect of uneven interference

Pending Publication Date: 2020-10-09
SUZHOU CASIA ALL PHASE INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that in the detection of non-precisely segmented industrial characters in the prior art, when the characters are stuck together, the detection is difficult, and it is difficult to quickly and accurately realize the technical problems of character recognition and positioning at the same time

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  • Industrial character detection process based on imprecise segmentation
  • Industrial character detection process based on imprecise segmentation
  • Industrial character detection process based on imprecise segmentation

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Embodiment Construction

[0056] In the following, specific examples will be used to describe in detail and illustrate the technical solutions of the present invention.

[0057] An industrial character detection process based on inaccurate segmentation, mainly for English and numbers, and for the situation after text line correction and character correction. When the characters are stuck together, the online detection stage uses the user preset information and the characteristics of the projection in the row direction, and the position of the character can be well determined by the way of recognition and segmentation at the same time, reducing the image segmentation and character segmentation steps during the online detection. The difficulty of segmenting individual characters.

[0058] It mainly adopts the improved maximum stable extremum area algorithm, which has strong robustness, and can perform text segmentation and character segmentation in uneven illumination and complex backgrounds; it adopts t...

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Abstract

The invention discloses an industrial character detection process based on imprecise segmentation, and belongs to the technical field of general machine vision. The process comprises an offline stageand an online detection stage. In the offline stage, a character reference model is obtained and is used in the online detection stage, in the online detection stage, an improved maximum stable extremum region algorithm is adopted in image segmentation so that the robustness of the algorithm is improved; in the character segmentation process, non-adhesion characters and adhesion equal-width characters are subjected to character segmentation in a projection segmentation mode; and if the character is the adhered non-equal-width character, character segmentation is performed by adopting a projection extreme value mode. The positions of the characters can be well determined in a mode of recognizing and segmenting at the same time so that the character segmentation difficulty in the online stage is reduced.

Description

technical field [0001] The invention belongs to the technical field of general machine vision, and in particular relates to an industrial character detection process based on inaccurate segmentation. Background technique [0002] Industrial character detection belongs to the field of machine vision technology and is widely used in industrial production processes. For example, for the traceability of products, serial numbers are affixed on products, and these serial numbers need to be read and recorded; there are also some scenarios that use Serial numbers to control the production process. [0003] The current optical character detection is mainly divided into traditional methods based on segmentation recognition and deep learning methods. Traditional methods are mainly divided into two steps: segmentation of characters into individual characters and classification of individual characters. The deep learning method can complete the recognition and positioning of characters...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/90G06T7/187G06T5/30G06T5/20G06K9/34G06K9/32G06T5/00
CPCG06T7/11G06T7/90G06T7/187G06T5/30G06T5/20G06T2207/20028G06V30/153G06V10/25G06V30/10G06T5/70Y02P90/30
Inventor 邢述达汪雪林顾庆毅
Owner SUZHOU CASIA ALL PHASE INTELLIGENCE TECH CO LTD
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