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Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 209-214
Marcelo N. Kapp , Pontif?cia Universidade Cat?lica do Paran?
Cinthia O. De A. Freitas , Pontif?cia Universidade Cat?lica do Paran?
Robert Sabourin , ?cole de Technologie Sup?rieure
This paper evaluates the use of the conventional architecture feedforward MLP (multiple layer perceptron) and class-modular for the handwriting recognition (HWR) and it also compares the results obtained with previous works in terms of recognition rate. This work presents a feature set in full detail to work with HWR. The experiments showed that the class-modular architecture is better than conventional architecture. The obtained average recognition rates were 77.08% using the conventional architecture and 81.75% using the class-modular. This paper also describes a performance study in which a rejection mechanism with multiple thresholds is evaluated for both conventional and class-modular architectures. The multiple thresholds idea is based on the use of N class-related reject thresholds (CRTs). The results indicate that this rejection mechanism can be used appropriately in both architectures. The experimental results are 86.38% and 91.52% using a handwritten months word database
Marcelo N. Kapp, Cinthia O. De A. Freitas, Robert Sabourin, "Handwritten Brazilian Month Recognition: An Analysis of Two NN Architectures and a Rejection Mechanism", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 209-214, doi:10.1109/IWFHR.2004.53
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