An Off-line Handwritten Chinese Character Recognition Method with Feedback-like Adjustment Mechanism

Abstract

The invention discloses an off-line handwritten Chinese character cognition method with an imitation feedback adjustment mechanism. The characteristics of the samples to be recognized are extracted by the cognitive method; the third stage is the training of the optimal model of the integrated pattern classifier; the fourth stage is based on the fuzzy integral to integrate the cognitive results of different cognitive methods; the fifth stage The first stage is the evaluation of cognitive results. According to the judgment of cognitive results, the process of the previous four stages is reactivated. In the case of multi-category samples, the present invention can realize different cognitive methods to treat different samples according to the cognitive needs of different samples, and at the same time carry out multi-level imitation feedback cognition on misrecognized samples according to the credibility evaluation of cognitive results, which is remarkable. Improved cognitive accuracy.

Description

technical field [0001] The invention belongs to the technical field of Chinese character cognition, and in particular relates to a cognition method integrated with multiple cognition methods with an imitation feedback adjustment mechanism. Background technique [0002] Chinese character recognition is an important research field of artificial intelligence, and it has been widely used in automatic bank signature recognition, teaching and office automation, and large text recognition and storage. At present, the research on the feature extraction method of handwritten Chinese characters has both academic papers that have done in-depth theoretical analysis on this, and engineering methods for practical applications, such as the invention patent "A Method for Image Feature Extraction for Handwritten Chinese Character Recognition" (CN101488182B ) and the invention patent application "A Method for Recognition of License Plate Chinese Characters Based on Multi-Feature Fusion" (CN10...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defects and deficiencies in the prior art, the present invention proposes an off-line handwritten Chinese character recognition method with imitation feedback adjustment mechanism, in order to solve the problem of fixed cognitive method and misrecognition rate in the open-loop non-feedback cognitive system. High-level problems, so that people can freely adjust the cognitive method to carry out multi-layer feedback cognition, accurately classify and cognition the samples to be cognition, and significantly improve the cognition accuracy

Images