A comparative study of feature metrics for classification of human passport photos [Vesikalik fotograflarin siniflandirilmasi i·çin özellik ölçütleri üzerine kiyaslamali bir çahşma]

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.