Problem-Reduction Approach To Handwritten Numeral Recognition

Hu-chen Xie; Xiaoming Hua; Dia Jing; Fanlun Xiong; Fupei Hu; Lu-lin Hua; W. R. Hruschka

doi:10.1117/12.947001

29 March 1988 Problem-Reduction Approach To Handwritten Numeral Recognition

Hu-chen Xie, Xiaoming Hua, Dia Jing, Fanlun Xiong, Fupei Hu, Lu-lin Hua, W. R. Hruschka

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947001
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.947001

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KEYWORDS

Feature extraction

Pattern recognition

Artificial intelligence

Head

Detection and tracking algorithms

Evolutionary algorithms

Optical character recognition

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