Handwritten Brazilian Month Recognition: An Analysis of Two NN Architectures and a Rejection Mechanism
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.2004.53
Robert Sabourin , ?cole de Technologie Sup?rieure
Cinthia O. De A. Freitas , Pontif?cia Universidade Cat?lica do Paran?
Marcelo N. Kapp , Pontif?cia Universidade Cat?lica do Paran?
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
Robert Sabourin, Cinthia O. De A. Freitas, Marcelo N. Kapp, "Handwritten Brazilian Month Recognition: An Analysis of Two NN Architectures and a Rejection Mechanism", Ninth International Workshop on Frontiers in Handwriting Recognition, vol. 00, no. , pp. 209-214, 2004, doi:10.1109/IWFHR.2004.53