DocumentCode :
3355628
Title :
A Comparative Study of Feature Metrics for Classification of Human Passport Photos
Author :
Aslan, Sinem ; Tunali, Turhan ; Cinsdikici, Muhammed
Author_Institution :
Uluslararasi Bilgisayar Enstitusu, Ege Univ., Bornova, Turkey
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
In this study, for a multimedia indexing system that uses a hierarchical cellular tree (HCT), effects of metrics that are obtained from the features extracted by using principal component analysis (PCA) and linear discriminant analysis (LDA) are studied for a set of passport size photographs and classification performance is reported. Results obtained reveal that LDA has better performance than that of PCA for HCT.
Keywords :
feature extraction; image classification; principal component analysis; feature metrics; hierarchical cellular tree; human passport photos classification; linear discriminant analysis; multimedia indexing system; principal component analysis; Classification tree analysis; Feature extraction; Humans; Indexing; Linear discriminant analysis; Multimedia systems; Principal component analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298721
Filename :
4298721
Link To Document :
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