ROBUST BRAIN PRINT EXTRACTION USING MULTIPRONGED BRAIN STRUCTURAL IMAGING FOR SECURE BIOMETRIC AUTHENTICATION

The brain structure is unique, hidden and comparatively stable over time than the brain’s electrical signals for authentication in high-security areas. Unlike conventional biometric modalities, brain structure needs more security since the theft of the human brain’s actual structure is irreversible. Issues such as scalability, uniqueness, robustness against MRI acquisition noise and template security have been insufficiently addressed by the previous methods. The useful brain structures have been segmented using an adaptive segmentation and boundary extraction algorithm. The proposed angular transformation of the original multipronged slices in the coronal, sagittal and horizontal planes, increases the effective surface area and optimizes the structural information in the brain print. Subsequent application of the irreversible layered encryption of the multipronged slices increases the effective number of final brain structural curves in the final brain print. Due to irreversibility, it is impossible to obtain the original brain structure from the final brain print. We have currently tested for 3D brain maps of 209 normal subjects. Template matching has been done through Hausdorff distance among templates. This is also the first method being reported to perform with high accuracy of 99.94% even during noisy MRI acquisition of 10% pixels. The false acceptance rate and false rejection rate in the noisy conditions are 0% and 1.1% respectively. The equal error rate is 8.4%.