Soft primitive extraction on handwritten digits
Nozha Boujemaa, G. Roux, J. P. Asselin de Beauville, B. Vattolo · 2002
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.