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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Foreground and Background Information in an HMM-Based Method for Recognition of Isolated Characters and Numeral Strings
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Alceu de S. Britto Jr., Pontif?cia Universidade Cat?lica do Paran? and Universidade Estadual de Ponta Grossa
Robert Sabourin, ?cole de Technologie Sup?rieure and Centre for Pattern Recognition and Machine Intelligence
Flavio Bortolozzi, Pontif?cia Universidade Cat?lica do Paran?
Ching Y. Suen, Centre for Pattern Recognition and Machine Intelligence
In this paper we combine complementary features based on foreground and background information in an HMM-based classifier to recognize handwritten isolated characters and numeral strings. A zoning scheme based on column and row models provides a way of dividing the character into zones without making the features size variant. This strategy allows us to avoid the character normalization, while it provides a way of having information from specific zones of the character. The experimental results on 10 digit classes, 52 character classes and 6 classes of numeral strings of different lengths have shown that the proposed features are highly discrimminant.
Citation:
Alceu de S. Britto Jr., Robert Sabourin, Flavio Bortolozzi, Ching Y. Suen, "Foreground and Background Information in an HMM-Based Method for Recognition of Isolated Characters and Numeral Strings," iwfhr, pp.371-376, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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