JOURNAL ARTICLE

Offline loop investigation for handwriting analysis

Tal Steinherz, David Doermann, Ehud Rivlin, Nathan Intrator
IEEE Transactions on Pattern Analysis and Machine Intelligence 2009, 31 (2): 193-209
19110488
Resolution of different types of loops in handwritten script presents a difficult task and is an important step in many classic word recognition systems, writer modeling, and signature verification. When processing a handwritten script, a great deal of ambiguity occurs when strokes overlap, merge, or intersect. This paper presents a novel loop modeling and contour-based handwriting analysis that improves loop investigation. We show excellent results on various loop resolution scenarios, including axial loop understanding and collapsed loop recovery. We demonstrate our approach for loop investigation on several realistic data sets of static binary images and compare with the ground truth of the genuine online signal.

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