In computer security, biometrics specifies to validation schemes that rely on considerable substantial characteristics that can be routinely checked. It is utilized in security and admits control applications to indicate scientific physical characteristics and behaviors of a person that could be checked on a mechanized basis. Normally, the biometric security is split into two types, one is based on physiological category, and the other is behavioral category. Several set of biometric identification schemes come under physiological category, comprising of face, fingerprint, hand geometry, retina, iris, and vein. The behavioral category based biometric identification schemes are signature, facial expression, voice and so on. Several techniques are used for improving the characteristics of each biometric scheme in a different way with different approaches and obtained the various results with some effects. For finger print matching, the technique discussed (Using Level 3 Feature  ) is based on the extraction of appropriate features by adapting suitable matching algorithm and a robust face recognition system is used for physiological biometric system with some uncontrolled illumination variation. In this paper, we are going to analyze the biometric security with respect to the hand surface in the presence of large hand pose variations presented in  and the technique which was analyzed here is compared with the other two techniques, namely, Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features, Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation with reference to contact less and pose variances.
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