Abstract: In face recognition technology, facial marks identification method is one of the unique facial identification tasks using soft biometrics. Also facial marks information can enhance the face matching score to improve the face recognition performance. As numbers of folk apply their face with cosmetic items.Some of the facial marks are invisible from their faces. Iris recognition is the most accurate biometrics which received increasing attention in departments which require high security. In this paper, we make a comparative study of performance of image transforms using principle of component analysis (PCA).The main aim of this paper is to show that how can we get better overall accuracy than the existing methods of feature extraction of iris recognition system.
Keywords: Face recognition, PCA, edge detection, Iris recognition, edge detection, CBIR, Facial marks detection and differentiating twins.