Neural Network based Supervised Self Organizing Maps for Face Recognition

A.S.Raja1 and V. JosephRaj2, 1Sathyabama University, India, 2Kamaraj College, India

ABSTRACT

The word biometrics refers to the use of physiological or biological characteristics of human to recognize and verify the identity of an individual. Face is one of the human biometrics for passive identification with uniqueness and stability. In this manuscript we present a new face based biometric system based on neural networks supervised self organizing maps (SOM). We name our method named SOM-F. We show that the proposed SOM-F method improves the performance and robustness of recognition. We apply the proposed method to a variety of datasets and show the results.

KEYWORDS

Biometrics, Face, Supervised Self Organizing Maps (SOM). 

Original Source URL: https://airccse.org/journal/ijsc/papers/3312ijsc03.pdf

https://airccse.org/journal/ijsc/current2012.html

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