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Model-Based Shape Matching with Structural Feature Grouping
March 1995 (vol. 17 no. 3)
pp. 315-320

Abstract—An essential problem in on-line 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 on-line character recognition: 1) stroke order, direction, and number are free, and 2) stroke connection and breaking are allowed.

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Index Terms:
Character recognition, handwriting recognition, image matching, shape matching, shape description, shape analysis, structural description.
Citation:
Hirobumi Nishida, "Model-Based Shape Matching with Structural Feature Grouping," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 3, pp. 315-320, March 1995, doi:10.1109/34.368198
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