Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Selective Feature-to-Feature Adhesion for Recognition of Cursive Handprinted Characters
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shaped-based image retrieval by spatial topology distances
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Word recognition system using neural networks
Highly parallel computaions
Neural Network Method for Protein Structure Search Using Cell-Cell Adhesion
Neural Information Processing
Setting shape rules for handprinted character recognition
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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In this work we present a self-organization matching approach to accomplish the recognition of handprinted characters drawn with thick strokes. This approach is used to flex the unknown handprinted character toward matching its object characters gradually. The extracted character features used in the self-organization matching are center loci, orientation, and major axes of ellipses which fit the inked area of the patterns. Simulations provide encouraging results using the proposed method.