Human Authentication with Earprint for Secure Telephone System

This paper describes the design and development of a prototype system for the automatic authentication of an individual based on the human ear patterns. Information at the feature extraction and at the confidence level, where the matching scores are reported by Probabilistic neural network, is discussed. The system was tested with the template files. The test performance reaching False Rejection Rate (FRR) = 9% and False Acceptance Rate (FAR) = 9%, suggests that the system can be used in telephone security environments.

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