Chinese character recognition method based on multi-features and parallel neural network computation

Authors:
Yanfang Li;Huamin Yang;Jing Xu;Wei He;Jingtao Fan
Affiliations:
School of Computer Science and TechnologyChangchun University of Science and Technology, Changchun;School of Computer Science and TechnologyChangchun University of Science and Technology, Changchun;School of Computer Science and TechnologyChangchun University of Science and Technology, Changchun;School of Computer Science and TechnologyChangchun University of Science and Technology, Changchun;School of Computer Science and TechnologyChangchun University of Science and Technology, Changchun
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

Based on neural network with favorable adaptability to handwritten Chinese character multi-features, in this paper a new method is proposed, using existing multi-features as inputs to structure multi neural network recognition subsystems and these subsystems are integrated with parallel connection mode. The integrated system has the lowest false recognition rate. When using traditional von Neumann architecture computer to implement this system, the system response time is longer as a result of serial computation. This paper introduces a kind of parallel computation method of using pc cluster to implement multi subsystems. It can reduce effectively recognition system's response time.