Biometrics defines quantifiable characteristics of measuring features of biological organism. 3D Face recognition is a promising trend in Computer Vision and Image Processing research. Face is considered as one of the most attractive biometrics due to its uniqueness. All the anatomical information from the face can be retrieved without physical intervention. In this paper a comparative analysis of region based approach in 3D Face recognition with its diverse applications in security and autism prediction is highlighted. Experiments are done on Bosphorus dataset and a third party dataset, reports a verification rate of 95.3% at 0.1% false acceptance rate. In Identification scenario the Rank one recognition rate is 99.3%. Running time of Modified Face Recognition Algorithm (MFRA) is determined and analyzed.

Biometrics, 3D Face Recognition, MFRA, Verification Rate, False Acceptance Rate, Rank One Recognition ,ASD

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