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Abstract
-- Biometric recognition refers to an electronically controlled authentication of an individuals based on a characteristic extracted by vector from their physiology and action character traits. Biometric identification systems should provide a reliable personal recognition system for either confirming or deciding an individual's identity. Such a system's applications include security of computer systems, secure online banking, credit cards, smart phones, secure building access, social services and health. By using biometrics, a person could be detected based on "who they are" instead of using "what they have" (card, token, key) or "what they know" (password, PIN).With the world pacing towards the digital era, security becomes a key feature, authentication being a major concern. Biometric techniques like face recognition are increasingly advancing. This paper presents a comparison and analysis is done on two face recognition techniques are OpenCV, SVM, Gabor features, OpenCV and Machine Learning.