Person recognition through eigeneye selection based on fuzzy distance to multiple class prototypes

Person recognition through eigeneye selection based on fuzzy distance to multiple class prototypes

This paper introduces a new criterion function to be used by feature selection algorithms based on fuzzy distances. Experiments using the introduced criterion function applied to the problem of face recognition are described.

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Bibliographische Detailangaben
Hauptverfasser: Ashimine, J., De Campos, T.E., Cesar, R.M., Bloch, I.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Chromium
Clustering algorithms
Face recognition
Fuzzy sets
Image databases
Image recognition
Principal component analysis
Prototypes
Search methods
Spatial databases
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Beschreibung
Zusammenfassung:This paper introduces a new criterion function to be used by feature selection algorithms based on fuzzy distances. Experiments using the introduced criterion function applied to the problem of face recognition are described.
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRA.2002.1167179