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Rejection method for identifying handwritten character based on multiple classifiers

A multi-classifier, character recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as large system risks and low error rates

Inactive Publication Date: 2010-01-20
UNIV OF SCI & TECH BEIJING
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the field of pattern recognition, offline handwritten character recognition is still a challenging problem, and achieving a low error rate in some application fields often brings great system risk

Method used

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  • Rejection method for identifying handwritten character based on multiple classifiers
  • Rejection method for identifying handwritten character based on multiple classifiers
  • Rejection method for identifying handwritten character based on multiple classifiers

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Embodiment Construction

[0079] Taking handwritten digit recognition as an example, three classifiers are used: three-layer BP neural network, modified quadratic discriminant function (MQDF), and support vector machines (SVMs). Features use weighted orientation histograms.

[0080] In the single classifier experiment, using the formula (1) f i ( d ) = d i - μ 0 σ 0 The initial normalization function, with the formula (4) g i ( d ) = 1 1 + e - f i ...

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Abstract

The invention provides a rejection method for identifying handwritten character based on multiple classifiers, belonging to the field of handwritten character identification. The rejection method is led into a handwritten character identifying system, so as to effective improve the reliability of the identifying system and improve the identifying rate of the identifying system. The invention provides a rejection method based on a single classifier and the rejection method based on the multiple classifiers. Aiming at the limitation of a single characteristic rejection method, the idea of a multiple classifiers system is adopted to design the single classifier for the each characteristic, and integrate the rejection result of the each classifier, so as to play advantages of the each characteristic and improve the reliability of the rejection. Based on the rejection method of the single classifier, the invention provides the rejection method of the multiple classifiers. The method can better solve contradiction between the identifying rate and the rejecting rate of the handwritten character identifying system, and improve the reliability of the identifying system.

Description

technical field [0001] The invention proposes several handwritten character recognition and rejection methods based on multi-classifiers, which can effectively improve the reliability of recognition of rejected characters and the accuracy of recognition of other characters. Background technique [0002] In the field of pattern recognition, offline handwritten character recognition is still a challenging problem, and achieving a low error rate in some application fields often brings great system risks. Therefore, in the practical application of handwritten character recognition, in order to improve the stability and reliability of the system, the rejection algorithm is applied to the system, so as to improve the overall performance of the system. In addition, incorrectly recognized characters can be detected and submitted to an auxiliary recognition system or to human processing. [0003] One method that is commonly used today is to calculate the confidence level of each cha...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 殷绪成郝红卫唐云峰
Owner UNIV OF SCI & TECH BEIJING
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