A Study on Facial Feature Extraction and Facial Recognition Approaches
نویسنده
چکیده
Face Recognition is having the importance to provide biometric authentication with easy image acquisition that can be used for online and offline applications. There are number of existing approaches for biometric facial recognition and classification. In this paper, some of the common and reliable approaches for facial recognition are explored. These approaches include PCA, LDA, KDA, Neural Network etc. The paper has also discussed the basic model of facial recognition and explained each stage of this model. It also includes different methods of feature extraction to describe the facial components.
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تاریخ انتشار 2015