Human Brain Biometric Identification Method by Extraction of Brain Print

Abstract

Identification of a human being through visual structural features face challenge of forgery. The hidden biometrics is comparatively recent yet it has appeared as optimistic modality for security. We believe that the distinguishing feature among human is the brain so qualifying and quantifying the uniqueness in structure of the brain should lead to subject identification. Previously, brain signals have been used for biometrics but like behavioral biometrics these can be deceiving. In this paper, we concentrate on extraction of concrete structural features from human brain which are non-deceivable. Our aim is to extract non-linear curves having approximate brain structural information instead of considering brain to be of predefined abstract regular shapes. The results are optimistic as we are able to extract enough number of brain curves from a securely selected slice from complete brain map ensuring the scalability of the approach.