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Proceedings Paper

Approach to subclass division and discrimination for handwritten numeral recognition
Author(s): Xuefang Zhu; Qing-Yun Shi
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Paper Abstract

In this paper, a method of sub-classes division based on statistical and discrimination based on structural feature information is proposed. Some necessary structural feature and/or some micro feature are employed for further categorization in addition to these measures. The orientation and its variation of an entire image, and branch stroke trace, its orientation and its variation, the length and its variation are also considered. The first rough classification is mainly based on macro structural feature. In the second stage on ly forty-one cluster prototypes are built, according to statistical distribution. A modified ISODATA clustering is designed for the third classifier. Using the structural difference with some necessary/sufficient feature information and new normalization means made fine discrimination more exact and rapid, avoiding too many primitives and too long sentences and too many grammars for final classification.

Paper Details

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441653
Show Author Affiliations
Xuefang Zhu, Nanjing Univ. (China)
Qing-Yun Shi, Peking Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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