Segmentation of overlapping cursive handwritten digits
Proceedings of the eighth ACM symposium on Document engineering
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
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
Expert Systems with Applications: An International Journal
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In this paper, we present a general method to segment and recognize pairs of touching and overlapping symbols. The method, whose purpose is to lead to a generic approach in future works, is based on the evaluation of several segmentation candidates produced by grouping elements of an over-segmentation. A pure general method would involve a high number of segmentation candidates. An adaptive introduction of heuristics, representing the knowledge dedicated to the applicative domain, allows to decrease this number. We have largely tested the method on pairs of touching and overlapping digits.