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2D shape recognition using biological sequence alignment tools

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2 Author(s)
Manuele Bicego ; Computer Science Department - University of Verona (Italy) ; Pietro Lovato

In this paper a novel 2D shape recognition approach is proposed. The main idea is to exploit in this context the huge amount of work carried out by bioinformati-cians in the biological sequence analysis research field. In the proposed approach, we encode shapes as biological sequences, employing standard and well established sequence alignment tools to devise a similarity score, finally used in a nearest neighbour scenario. Despite its simplicity, obtained results on standard datasets are really encouraging.

Published in:

Pattern Recognition (ICPR), 2012 21st International Conference on

Date of Conference:

11-15 Nov. 2012