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This paper presents a new framework for a biometric cryptosystem in which a cryptographic key is concealed with biometric modalities. In this paper, the candidate biometric modality is secured using two functions: 1) BCH encoding, which delivers the parity-code stored for the alignment of the query biometric template and 2) the Hash function to compute hash-code in order to safeguard its integrity...
Iris recognition has emerged as one of the most promising contactless biometrics technologies to provide automated human identification. Several national ID programs, such as Aadhar in India, incorporate iris biometrics to provide unique identity to millions of citizens. Therefore it is vital that integrity of such large scale iris deployments must also be safeguarded. Iris recognition technologies...
This paper presents a computationally efficient iris segmentation approach for segmenting iris images acquired from at-a-distance and under less constrained imaging conditions. The proposed iris segmentation approach is developed based on the cellular automata which evolves using the Grow-Cut algorithm. The major advantage of the developed approach is its computational simplicity as compared to the...
Personal identification from the iris images acquired under less-constrained imaging environment is highly challenging problem but with several important applications in surveillance, image forensics, search for missing children and wandering elderly. In this paper, we develop and formulate a new approach for the iris recognition using hypercomplex (quaternionic or octonionic) and sparse representation...
Remote human identification using iris biometrics has high civilian and surveillance applications and its success requires the development of robust segmentation algorithm to automatically extract the iris region. This paper presents a new iris segmentation framework which can robustly segment the iris images acquired using near infrared or visible illumination. The proposed approach exploits multiple...
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