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Proceedings Paper

Performance evaluation of shape features
Author(s): Jen-Hon Luo; Chaur-Chin Chen
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Paper Abstract

Shape recognition has a variety of applications such as the aircraft identification, character recognition, industrial part recognition, and country map discrimination. One of the most important steps is to extract optimal features to discriminate one shape from the others. This paper reviews and evaluates shape features extracted by different methods. The shape feature sets of improved moment invariants, traditional moment invariants, and Fourier descriptors by testing three sets of digital shapes: (a) Chinese symbols, (b) animal shapes, and (c) toys show that improved moment invariants and traditional moment invariants have near a perfect recognition but Fourier descriptors do not perform well. An efficient shape recognition system based on improved moment invariants is thus established and described.

Paper Details

Date Published: 20 October 1993
PDF: 10 pages
Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158638
Show Author Affiliations
Jen-Hon Luo, Ming Hsin Junior College of Technology (Taiwan)
Chaur-Chin Chen, National Tsing Hua Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2028:
Applications of Digital Image Processing XVI
Andrew G. Tescher, Editor(s)

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