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Soft primitive extraction on handwritten digits

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4 Author(s)
Boujemaa, N. ; Lab. d''Inf., Ecole d''Ingenieurs en Inf. pour l''Ind., Tours, France ; Roux, G. ; Asselin de Beauville, J.P. ; Vattolo, B.

Recognition of handwritten digits is useful for several applications such as automatic bank cheques interpretation. Many problems occur, making this task quite difficult: digits may overlap, the removal of a base line may damage the digits, and noise quantization pixels may alter the digits shape and meaning, etc. Uncertainty modeling becomes essential to our work. This paper shows how robust fuzzy clustering techniques are suitable and useful for soft feature extraction and representation of a cheque's numerical value

Published in:

Image Processing, 1997. Proceedings., International Conference on  (Volume:3 )

Date of Conference:

26-29 Oct 1997

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