24 September 2001 Approach to subclass division and discrimination for handwritten numeral recognition
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441653
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
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Xuefang Zhu, Qing-Yun Shi, "Approach to subclass division and discrimination for handwritten numeral recognition", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441653; https://doi.org/10.1117/12.441653
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