Segmentation Algorithm for Unconstrained Handwritten Numeral Strings in Bank Check Reader System

doi:10.13190/jbupt.200601.13.zhangch

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (1): 13-16.doi: 10.13190/jbupt.200601.13.zhangch

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Segmentation Algorithm for Unconstrained Handwritten Numeral Strings in Bank Check Reader System

ZHANG Chuang¹, LIN Zhi-qing¹, XIAO Bo¹, GUO Jun²

1.School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2.School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2004-12-03 Online:2006-02-28 Published:2006-02-28

Abstract

Abstract:

How to improve the strings segmentation process was investigated. The components connected were detected based on isolated components analysis, and the length estimation of the components using the feature of lower contours was discussed, the problem of segmenting overlapping or touching characters settled by the improved “drop-falling” algorithm was also studied in details. This method has been incorporated into a complete bank check character recognition system. It shows promising results.

Key words: bank check recognition, segmentation, length estimation of digit string

CLC Number:

TP391.41

ZHANG Chuang, LIN Zhi-qing, XIAO Bo, GUO Jun. Segmentation Algorithm for Unconstrained Handwritten Numeral Strings in Bank Check Reader System[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(1): 13-16.

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Segmentation Algorithm for Unconstrained Handwritten Numeral Strings in Bank Check Reader System

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