Face Recognition Using Singular Value Decomposition Along with Seven State HMM

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Provided by: International Journal of Computer Science and Network Security
Topic: Security
Format: PDF
In this paper, the authors present a new approach using Hidden Marko Model as classifier and Singular Values Decomposition (SVD) coefficients as features for face recognition. As face is a complex multi-dimensional structure and needs good computing techniques for recognition and it is an integral part of biometrics. Features extracted from a face are processed and compared with similar faces which exist in database. The recognition of human faces is carried out by comparing characteristics of the face to those of known individuals.
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