Document Type

Conference Document

Date

1996

Embargo Period

1-19-2012

Keywords

Shape recognition, Attributed shape grammars, Genetic algorithms, Pattern matching, String matching

Language

English

Disciplines

Computer Sciences

Description/Abstract

Shape recognition is a challenging task when shapes overlap, forming noisy, occluded, partial shapes. This paper uses a genetic algorithm for matching input shapes with model shapes described in terms of features such as line segments and angles (extracted using traditional algorithms). The quality of matching is gauged using a measure derived from attributed shape grammars [12, 13]. Preliminary results, using shapes with about 30 features each, are extremely encouraging.

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This work is licensed under a Creative Commons Attribution 3.0 License.

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