This paper presents a new application of a neural network model in the
area of dedicated (handwritten numerals) binary pattern thinning. The
thinning method has been tested on 6000 randomly selected images of u
nconstrained handwritten numerals. The test results show that the meth
od introduces minimal structural deformity and the skeletal shape of t
he underlying pattern is retained.