Pattern Recognition Letters
Automatic Recognition of Unconstrained Off-Line Bangla Handwritten Numerals
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Multiple Recognizers System Using Two-Stage Combination
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
On the Performance of the HONG Network for Pattern Classification
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2 - Volume 2
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Neural-network classifiers for recognizing totally unconstrained handwritten numerals
IEEE Transactions on Neural Networks
Hierarchical overlapped SOM's for pattern classification
IEEE Transactions on Neural Networks
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This paper proposes a system for handwritten Bangla numeral recognition based on expanded two-layer self-organising map (SOM), in which every map in the second layer expands from a corresponding neuron in the first layer map. It carries out multiple classifications in the second layer for each character sample. The exact classification of the character image is obtained by a fusion algorithm using confidence coefficients. The discriminability of SOM is improved by this structure. With the directional and density features as the input vector, the experiments on handwritten Bangla numeral samples have achieved satisfactory recognition performance.