A Comparative Study of Feature Metrics for Classification of Human Passport Photos
Bildiriler > Tam Metin Bildiri
Yazarlar: Sinem Aslan, Turhan Tunali, Muhammed Cinsdikici
2007 IEEE 15th Signal Processing and Communications Applications, , , Uluslararası, Tam Metin Bildiri, cilt 83, ss 1-4
Özet
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.