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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Handwritten Brazilian Month Recognition: An Analysis of Two NN Architectures and a Rejection Mechanism
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
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
Citation:
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, pp.209-214, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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