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A knowledge-based approach for script recognition without training

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1 Author(s)
Rao, P.V.S. ; Comput. Syst. & Commun. Group, Tata Inst. of Fundamental Res., Bombay, India

The approach described is based on an empirical parametric model for the handwriting recognition system. The parameters are so chosen and quantized as to retain only broad shape information, ignoring writer-dependent and other variability. Concatenation of character prototypes generates archetypal reference words for recognition, and training is unnecessary. The recognition scores exceed 90%

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:17 ,  Issue: 12 )