Title

2-D Shape Recognition Using Recursive Landmark Determination And Fuzzy Art Network Learning

Keywords

2-D shape recognition; Fuzzy ART network; Recursive landmark determination

Abstract

In this Letter, 2-D shape recognition is done using a combination of recursive search of landmarks, landmark-based invariant features, and a fuzzy ART neural- network classifier. To make this novel combination work well, an upper limit is imposed on the number of total landmarks allowed, and this maximum size is then translated into fixed dimensions of invariant features and into the neural processing of the features. It is shown that the recursive landmark search approximates very well any smooth 2-D shape contour, that the shape features used are independent of perspective transformation, and that, when combined with a fuzzy ART classifier, unknown features can be efficiently learned on-line to identify multiple distinct objects. An illustrative example is used to demonstrate effectiveness of the proposed algorithm.

Publication Date

10-1-2003

Publication Title

Neural Processing Letters

Volume

18

Issue

2

Number of Pages

81-95

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1023/A:1026261202044

Socpus ID

0345328121 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0345328121

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