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Evolutionary algorithm-based face verification

โœ Scribed by Jun-Su Jang; Kuk-Hyun Han; Jong-Hwan Kim


Book ID
103879250
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
367 KB
Volume
25
Category
Article
ISSN
0167-8655

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โœฆ Synopsis


This paper proposes a novel face verification method using principal components analysis (PCA) and evolutionary algorithm (EA). Although PCA related algorithms have shown outstanding performance, the problem lies in making decision rules or distance measures. To solve this problem, quantum-inspired evolutionary algorithm (QEA) is employed to find out the optimal weight factors in the distance measure for a predetermined threshold value which distinguishes between face images and non-face images. Experimental results show the effectiveness of the proposed method through the improved verification rate and false alarm rate.


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