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Information × Registration Number 2117U002530, Article popup.category Thesis Title popup.author popup.publication 01-01-2017 popup.source_user Сумський державний університет popup.source http://essuir.sumdu.edu.ua/handle/123456789/55763 popup.publisher Description As one of the excellent learning and classification performance, SVM and ISVM has become a research topic in the field of machine learning and has been applied in many areas, such as face detection and recognition, handwriting automatic identification and automatic text categorization. Face recognition is a challenging computer vision problem. Given a face database, goal of face recognition is to compare the input image class with all the classes and then declare a decision that identifies to whom the input image class belongs to or if it doesn’t belong to the database at all. In this survey, we study face recognition as a pattern classification problem.In this paper, we study the concept of SVM and sophisticated classification techniques for face recognition using the SVM and ISVM along with the advantages and disadvantages. This paper not only provides an up-to-date critical survey of machine learning techniques but also performance analysis of various SVM and ISVM techniques for face recognition are compared. popup.nrat_date 2025-05-12 Close