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An Efficient Approach for Age Invariant Face Recognition Using Nonlinear Topological Component Analysis: A Study

Sneha G. Sawansukha, Mrudula S. Nimbarte

Abstract



Face recognition has now become an important area of research. The various areas are biometrics, computer vision communities and pattern recognition. The main intra-subject variations such as pose, illumination, expression, and aging, are commonly encountered in face recognition. Among all aging variation is the most challenging problem. This paper survey the various approach for age invariant face recognition.

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