Title :
Fitting elastic maps to recognize handwritten digits
Author :
Lim, J.H. ; Teh, H.H. ; Lui, H.C. ; Wang, P.Z.
Author_Institution :
Neuro ISS Lab., RWCP, Kent Ridge, Singapore
Abstract :
In this paper, we present a novel approach to recognize off-line handwritten characters by fitting elastic topological maps. A supervised incremental clustering algorithm is designed to learn stochastic prototypes from examples with elastic matching. We report experimental results on NIST SD3 digit recognition using our proposed approach and draw a connection to deformable models
Keywords :
character recognition; feature extraction; fuzzy set theory; image matching; learning (artificial intelligence); self-organising feature maps; topology; NIST SD3 digit recognition; deformable models; elastic matching; elastic topological maps; feature extraction; fitting elastic maps; fuzzy c-means; neural networks; off-line handwritten character recognition; supervised incremental clustering; Character recognition; Clustering algorithms; Deformable models; Feature extraction; Handwriting recognition; Laboratories; Network topology; Neural networks; Prototypes; Stochastic processes;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487275
