TRANSACTIONS ON DATA HIDING AND MULTIMEDIA SECURITY VIII
Tahun : 2012Pengarang : yun Q.
Penerbit : available rendition
Ket : Biometrics are physiological and behavioural characteristics that can be used to automatically identify a person. Face is one of the most desired biometrics for unconstrained and unsupervised person identification. A vital process of a face biometric system is the extraction of discriminatory features from a given face image that can be used to identify the person in the given face image or verify a claimed identity. The most common approaches to face recognition consider the entire face image for feature extraction. Typical methods include Eigenfaces [1] and Fisherfaces [2] which use statistical techniques to find an optimal representation in a lower-dimensional face space for a given set of face images. However, the accuracy of these approaches isThe level of randomness of biometric features is an important factor in determining the uniqueness of one’s biometric identity. Therefore, measuring information content of biometric systems has a significant impact on accuracy and security.
Ketegori : DATA SECURITY
