Title
2-D shape recognition using recursive landmark determination and fuzzy ART network learning
Abbreviated Journal Title
Neural Process. Lett.
Keywords
fuzzy ART network; recursive landmark determination; 2-D shape; recognition; CURVES; ALGORITHM; Computer Science, Artificial Intelligence; Neurosciences
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.
Journal Title
Neural Processing Letters
Volume
18
Issue/Number
2
Publication Date
1-1-2003
Document Type
Article
Language
English
First Page
81
Last Page
95
WOS Identifier
ISSN
1370-4621
Recommended Citation
"2-D shape recognition using recursive landmark determination and fuzzy ART network learning" (2003). Faculty Bibliography 2000s. 2567.
https://stars.library.ucf.edu/facultybib2000/2567