In allusion to the problem of low accuracy rate recognition in Chinese/English mixed characters, the paper researches on optimization algorithm for segmentation in Chinese/English mixed characters based on OCR system. Rough segment for text images is based on vertical projection method, which follows to characters segmentation theory, extraction of Chinese character, Chinese character component and English number connectivity regional. In Chinese character component connectivity regional, traditional Chinese character component merging algorithms will cause some Chinese characters components are merged incompletly, therefore, an unit merging algorithm based on feedback recognition is presented to merge Chinese character component, in Chinese character, English and number connectivity regional, as adhesion character can lead to segmentation errors, achieving the detection of adhesion character and re-segmentation through the geometric features of character. The test of mixed character segmentation showes that: In the course of recognition on Chinese/English mixed character, the segmentation optimization algorithm have obvious advantage over the traditional algorithms on the accuracy rate of recognition, especially on Chinese characters those are composed of left and right components.

Research on Optimization Segmentation Algorithm for Chinese/English Mixed Character Image in OCR

An offline handwritten Chinese character recognition system based on feedback structure is constructed. By imitating the feedback behavior in the human brain, the operating mechanism is presented. By comparing the recognition result character with the input character, four kinds of general characters recognition errors are defined. According to the analysis of the general errors, the evaluation mechanism and regulation mechanism of closed-loop based on feedback is made. Based on the trend of errors, the recognition process is adjusted to make the whole operating mechanism more reasonable. The results of simulation show that this system is efficient.

Research of Off-Line Handwritten Chinese Character Recognition System Based on Feedback Structure

Due to the difficulty of conforming to human recognition process with traditional open loop recognition system,a simulated intelligent recognition system with feedback structure was constructedChoosing the best initial recognition method based on the multimodal and qualitative recognition result,the system extracted general characters recognition error to judge the credibility and feedback correction after the initial recognitionThree kinds of general characters recognition error were designed according to the feedback resultThe credibility evaluation index system and feedback correction decision-making mechanism of the recognition result were established by qualitative and quantitative analysis of three kinds of general characters recognition errorAnd the analytical method of the recognition error was givenThe experimental results prove that the presented method is effective

Wang Er-shuai

Papers

Feature feedback-based system for recognition of handwritten Chinese characters