Automated Human Identification Using Ear Imaging

Computer Engineering

Reliability in human authentication is the important aspect for the security requirements in various applications ranging from airport surveillance to electronic banking. Many physical characteristics of humans, i.e., biometrics, are usually don't change over time, unique to every person and easy to capture. Currently research in biometrics is focused on iris, fingerprint, gait, signature, face, palm print, or hand-geometry. Ear of the human is best source of data for human identification in various applications. The ear is quite efficient biometric candidate because it’s a) Stable and appropriate structure that is preserved from birth and is unique in individuals b) Facial expressions can vary with time but this is not case with ear, c) Relatively immune from hygiene issues and privacy with several other biometric elements. This system investigates a unique approach for the automated human identification using 2D ear imaging. Multiple geometrical feature extraction such as identification of shape a person using ear biometrics.

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