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Ninth International Workshop on Frontiers in Handwriting Recognition (2004)
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISSN: 1550-5235
ISBN: 0-7695-2187-8
pp: 371-376
Ching Y. Suen , Centre for Pattern Recognition and Machine Intelligence
Flavio Bortolozzi , Pontif?cia Universidade Cat?lica do Paran?
Robert Sabourin , ?cole de Technologie Sup?rieure and Centre for Pattern Recognition and Machine Intelligence
Alceu de S. Britto Jr. , Pontif?cia Universidade Cat?lica do Paran? and Universidade Estadual de Ponta Grossa
ABSTRACT
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.
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CITATION
Ching Y. Suen, Flavio Bortolozzi, Robert Sabourin, Alceu de S. Britto Jr., "Foreground and Background Information in an HMM-Based Method for Recognition of Isolated Characters and Numeral Strings", Ninth International Workshop on Frontiers in Handwriting Recognition, vol. 00, no. , pp. 371-376, 2004, doi:10.1109/IWFHR.2004.43
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