ALGORITHM FOR SELECTING A SET OF INFORMATIVE FEATURES IN BIOMETRIC SYSTEMS BASED ON FACE IMAGE
Keywords:
Informative feature, facial image, space, transformation, recognition, algorithm, image dataset, criterion, decision tree.Abstract
Today, the use of biometrics in security systems is becoming popular. Biometrics-based systems are based on the anatomical uniqueness of each person. Anatomical features include biometric features such as face, pupil, fingerprint, and palm. The performance of the face recognition system is directly related to the performance of face feature extraction. Facial recognition is usually based on local and global features. In the formation of local features, the face image is divided into separate parts, and recognition is performed based on the formed local features. Global feature extraction is the formation of features in the entire face image, and the cost of recognition can be reduced by separating the informative ones from them. In this article, the algorithms for creating the informative feature space for faces are analyzed, the process for locating informative features is explained, and a technique and algorithm for differentiating between face image informative features are suggested.
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