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Model-based shape matching with structural feature grouping

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1 Author(s)
H. Nishida ; Sch. of Comput. Sci. & Eng., Aizu Univ., Fukushima, Japan

An essential problem in online handwriting recognition is the shape variation along with the variety of stroke number and stroke order. In this paper we present a clear and systematic approach to shape matching based on structural feature grouping. To cope with topological deformations caused by stroke connection and breaking, we incorporate some aspects of top-down approaches systematically into the shape matching algorithm. The grouping of local structural features into high-level features is controlled by high-level knowledge as well as the simple geometric conditions. The shape matching algorithm has the following properties from the viewpoint of online character recognition: (1) stroke order, direction, and number are free, and (2) stroke connection and breaking are allowed

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:17 ,  Issue: 3 )