29 March 1988 Problem-Reduction Approach To Handwritten Numeral Recognition
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Abstract
In this paper a problem-reduction approach is applied to handwritten numeral recognition and a recognition system is built. A problem-reduction representation (PRR) is used as the structural model for the character into which the semantics is injected. A powerful feature point extraction technique is designed to extract turnabouts on the strokes of a character with the windows of variable size. In terms of this point, a character is segmented into a series of line segments, each with one head and one tail. A nondirection analysis algorithm in problem-reduction approach is used to analyze characters. A heuristic ordered search method according to attributes is developed. A high recognition rate is obtained.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hu-chen Xie, Xiaoming Hua, Dia Jing, Fanlun Xiong, Fupei Hu, Lu-lin Hua, and W. R. Hruschka "Problem-Reduction Approach To Handwritten Numeral Recognition", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947001; https://doi.org/10.1117/12.947001
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