Share Email Print
cover

Proceedings Paper

Problem-Reduction Approach To Handwritten Numeral Recognition
Author(s): Hu-chen Xie; Xiaoming Hua; Dia Jing; Fanlun Xiong; Fupei Hu; Lu-lin Hua; W. R. Hruschka
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 29 March 1988
PDF: 9 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947001
Show Author Affiliations
Hu-chen Xie, University of Science & Technology of China (China)
U.S. Dept. Agric. (United States)
Xiaoming Hua, Chinese Academy of Sciences (China)
Dia Jing, University of Science & Technology of China (China)
Fanlun Xiong, University of Science & Technology of China (China)
Fupei Hu, ADA R&D Group (United States)
Lu-lin Hua, ADA R&D Group (United States)
W. R. Hruschka, U.S. Dept. Agric. (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

© SPIE. Terms of Use
Back to Top