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Graphic verification code mathematical expression recognition method

A technology of mathematical expression and graphic verification code, applied in the field of graphic verification code mathematical expression recognition, can solve the problems of low recognition rate, model and algorithm can not complete graphic verification code recognition, can not meet the requirements of program use, etc., to achieve recognition efficiency High, the effect that meets the requirements of the program

Pending Publication Date: 2021-03-16
GUANGZHOU PRESTIGE TECH
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Problems solved by technology

[0003] Traditional open-source graphic text recognition, due to the difference in sample images, the model and algorithm cannot complete the graphic verification code recognition, or the recognition rate is too low to meet the requirements of the program

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  • Graphic verification code mathematical expression recognition method

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. 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.

[0042] In a specific embodiment, the technology of automatically recognizing characters by computer is an important field of pattern recognition applications. The recognition process includes sample image feature extraction, feature data training, generation of model files, test samples and other steps. This algorithm adopts the SVM support vector machine based on OPENCV for training and recognition, and uses the HOG feature of the image, that is,...

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Abstract

The invention relates to a graphic verification code mathematical expression recognition method, which comprises the steps of S1, preparing a to-be-trained sample image, and extracting feature data ofthe sample image, in which HOG features of the image, i.e., a direction gradient histogram, are adopted as feature data; S2, training the feature data based on an SVM classifier to generate a model file; and S3, performing sample identification based on the model file; wherein the SVM support vector machine based on the OPENCV is used for training and recognition.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a method for recognizing mathematical expressions of graphic verification codes. Background technique [0002] In the development process of many projects, it is necessary to access third-party platforms to complete data interaction. When the program performs the automatic login operation, it needs to be able to automatically recognize the text and arithmetic symbols in the graphic verification code, and automatically calculate the result, so as to facilitate the next step of business. [0003] Traditional open-source graphic text recognition, due to the difference in sample images, the model and algorithm cannot complete the graphic verification code recognition, or the recognition rate is too low to meet the requirements of the program. Contents of the invention [0004] In order to solve the above technical problems, the present invention provides a method for rec...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/46G06K9/62
CPCG06V30/153G06V10/44G06V10/50G06F18/2411G06F18/214
Inventor 曹婉玉张新锋
Owner GUANGZHOU PRESTIGE TECH
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