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Now a days, we know that so many duplicate images are existing in our database. It occupies unnecessary space in database. In our new proposed algorithms, it detects the duplicate images.it is based on biometric features and clusters. Features of the images are extracted using PCA Algorithm and then it divides into the cluster for fastest searching of duplicated images then comparison is done between input and database images. The feature extraction is an essential step for image analysis, object representation, visualization, and many other image processing tasks. PCA is used for dimension reduction.