Character wheel image digital recognition method with fuzzy state

A digital recognition and fuzzy technology, applied in the field of image recognition, can solve the problems of non-convergence of model iteration, inability of image recognition model to accurately and effectively recognize images, and difficult to popularize and apply.

Active Publication Date: 2020-10-23
CHENGDU QIANJIA TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the scene of image recognition, if the data in the fuzzy state is ignored, the image recognition model will not be able to accurately and effectively recognize the image in the fuzzy state, and

Method used

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  • Character wheel image digital recognition method with fuzzy state
  • Character wheel image digital recognition method with fuzzy state
  • Character wheel image digital recognition method with fuzzy state

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Experimental program
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Embodiment

[0043] Before realizing this scheme, explain the concept of fuzzy set, let the domain of discourse be X, for the traditional set A, there is , assuming there is an element , then the element Either belong to set A or not belong to set A, so set A can determine a mapping relationship: ,in,

[0044]

[0045] There is uncertainty about the relationship between the elements in the fuzzy set and the set, so the mapping , , then called A fuzzy set of domain X is determined , fuzzy set The membership function of called elements pair fuzzy set The degree of membership reflects the element pair fuzzy set degree of membership.

[0046] In domain X, given a fuzzy set , by for The degree of membership is greater than the level value (threshold) elements, called the fuzzy set horizontal interception. Expressed in the formula as , fuzzy set of horizontal interception.

[0047] The present invention illustrates the realization process of techn...

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Abstract

The invention relates to a character wheel image digital recognition method with a fuzzy state, and the method specifically comprises the following steps: obtaining a training set of a state extractor, and obtaining a training set of a classifier; training the state extractor by using the training set of the state extractor, and training the classifier by using the training set of the classifier;and inputting a to-be-identified sample into the trained state extractor to obtain a state variable, inputting the state variable into the trained classifier, and outputting a classification result. According to the invention, effective identification processing is carried out on continuously changing images or images without clear classification boundaries, for example, character wheel image number recognition, the constructed state extractor is used for extracting the characteristic state of a to-be-recognized sample to obtain a state variable, and the to-be-recognized sample is sent into aclassifier corresponding to the membership degree according to the membership degree obtained after the state variable passes through a membership function so that the to-be-recognized sample is correctly classified.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a digital recognition method for character wheel images with fuzzy states. Background technique [0002] The processing of image information is an important topic in today's technology. With the development of deep learning methods in recent years, more mature solutions have been given to image recognition problems, and they have achieved landing in scenarios such as license plate recognition and text recognition. application. [0003] However, the current academic research is mainly on image recognition problems with clear classification boundaries, but in actual scenes, there are often some image classification problems with blurred boundaries. For example, the recognition of character wheel image numbers is a typical blurred boundary image classification problem, because the character wheel rotation is a continuous process, there may be complete characters in the ch...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V30/10G06F18/24G06F18/214
Inventor 朱炼赵勇常关羽牛富增贾忠友
Owner CHENGDU QIANJIA TECH CO LTD
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