Segmentation-based recognition of handwritten touching pairs of digits using structural features

Authors:
Kye Kyung Kim;Jin Ho Kim;Ching Y. Suen
Affiliations:
CENPARMI, Concordia University, Montreal, Que., Canada and Electronics and Telecommunications Research Institute, 161 Kajong-Dong, Yusong-Gu, Taejon, South Korea;CENPARMI, Concordia University, Montreal, Que., Canada and Department of Electronic Engineering, Kyungil University, Kyungsan, South Korea;CENPARMI, Concordia University, Montreal, Que., Canada
Venue:
Pattern Recognition Letters
Year:
2002

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Abstract

In this paper, we propose a segmentation-based recognition method of handwritten touching pairs of digits using structural features of contour. Four kinds of candidate break points are obtained from contour and six touching types are defined based on an analysis of the ligature and the characteristics of candidate break points. The final break points of touching pairs of digits are deduced by verifying candidate segment combinations. The main advantages of this method are that reliable segment combinations are used in the multiple hypothesis recognition, and segmentation error of traditional segmentation-based recognition method are reduced by verifying segment combinations. To evaluate the proposed method, we have experimented with 3500 touching pairs of digits of the NIST SD19 database. An encouraging recognition rate of 92.5% has been obtained.