A hidden markov model-based approach for face detection and recognition
A hidden markov model-based approach for face detection and recognition
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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Face recognition is an important part of today's emerging biometrics and application of security. In this paper we will be proposing an algorithm for Real-Time face recognition algorithm using representation of face and priority order matching. It is common to register a lot of faces into a database for to improve face recognition rate. We used the representation of face method in order to search the large database containing visual facial image data more efficiently. And Priority order matching method was used to obtain data that is more reliable. Priority order matching is a system that recognizes faces by giving weight to its most similar facial image. This way we can obtain data that is more reliable and also prevents rejecting reaction from the system. I am proposing a progressive - face recognition algorithm using priority order matching and representation of face, the two method proposed above.