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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 7046-7053
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.7046
• Online since: January 2012
• Authors: Jian Ping Wang, Hui Ying Cao, Jin Ling Wang, Cheng Hui Zhu
• Keywords: Closed-Loop, Feedback, General Characters Recognition Errors, Trend of Errors

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