A Novel Approach to Separate Handwritten Connected Digits

Authors:
Reda Alhajj;Ashraf Elnagar
Affiliations:
-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Year:
2003

Citing 3
Cited 1

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Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis

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Multiagent reinforcement learning using function approximation

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Simulating inertial and centripetal forces for segmentation of overlapped handwritten digits

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

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Abstract

This paper presents a novel approach to separateconnected digits in handwritten numerals by employing twoagents in the process. The first agent decides oncandidate cut-point as the closest feature-point to the center ofthe deepest top-valley, if any. The second agent arguescandidate cut-point as the closest feature-point to the center ofthe highest bottom-hill, if any. Then the actual cut-point isdecided by negotiation, which is influenced by a degree ofconfidence in each candidate cut-point. Experimentscon-ducted so far are promising and successful as well asjustified employing multiple agents. The obtained results arevery encouraging with a success factor of 97.8%.