Penacée: a neural net system for recognizing on-line handwriting

Guyon, I.; Bromley, J. M.; Matić, N.; Schenkel, M. and Weissman, H. (1996). Penacée: a neural net system for recognizing on-line handwriting. In: Domany, E.; Van Hemmen, J. L. and Schulten, K. eds. Models of Neural Networks III: Association, Generalization and Representation. Physics of Neural Networks, 3. New York: Springer, pp. 255–279.

DOI: https://doi.org/10.1007/978-1-4612-0723-8_7

Abstract

We report on progress in handwriting recognition and signature verification. Our system, which uses pen-trajectory information, is suitable for use in pen-based computers. It has a multi-modular architecture whose central trainable module is a time-delay neural network. Results comparing our system and a commercial recognizer are presented. Our best recognizer makes three times less errors on hand-printed word recognition than the commercial one.

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