NEURAL NETWORK BASED SUPERVISED SELF
ORGANIZING MAPS FOR FACE RECOGNITION
A.S.Raja1
and V. JosephRaj2
1Research Scholar, Sathyabama University, Jeppiar Nagar, Chennai,Tamil Nadu, India
csehod@capeitech.org,
2
Professor, Kamaraj College, Thoothukudi, Tamil Nadu, India
v.jose08@gmail.com
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 : http://airccse.org/journal/ijsc/papers/3312ijsc03.pdf
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