Z. Lou et al., Rejection criteria and pairwise discrimination of handwritten numerals based on structural features, PATTERN A A, 2(3), 1999, pp. 228-238
This paper presents a new structural method for the recognition of handwrit
ten numerals. Contour shape features, such as convex arcs, concave arcs, li
ne segments, end-point arcs and holes from the contours of numeric characte
rs, are used to describe numeral characters. A new method of measuring the
similarity between a sample and class is proposed. A two stage recognition
methodology is also presented, in which two rejection criteria are introduc
ed. In the first stage of recognition, an input sample is given an identity
or categorised as either first class or second class rejection, based on s
imilarity measures between the input sample and each of the ten numeral cla
sses. In the second stage of recognition, strategies are introduced to modi
fy the structural description of the input sample if it is in first class r
ejection and a classifier focused on pairwise discrimination is applied if
the input sample is in second class rejection. Experimental results indicat
e that the overall performance of the proposed method compares favourably w
ith chose achieved by other methods found in the literature.