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 (2004)
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.43
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
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.
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