Cancelable iris Biometrics based on data hiding schemes

Choudhury, Bismita, Then, Patrick, Raman, Valliappan, Issac, Biju and Haldar, Manas Kumar (2017) Cancelable iris Biometrics based on data hiding schemes. In: SCOReD 2016 - 14th IEEE Student Conference on Research and Development, 13th - 14th December 2016, Kuala Lumpur, Malaysia.

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Official URL: http://dx.doi.org/10.1109/SCORED.2016.7810049

Abstract

The Cancelable Biometrics is a template protection scheme that can replace a stolen or lost biometric template. Instead of the original biometric template, Cancelable biometrics stores a modified version of the biometric template. In this paper, we have proposed a Cancelable biometrics scheme for Iris based on the Steganographic technique. This paper presents a non-invertible transformation function by combining Huffman Encoding and Discrete Cosine Transformation (DCT). The combination of Huffman Encoding and DCT is basically used in steganography to conceal a secret image in a cover image. This combination is considered as one of the powerful non-invertible transformation where it is not possible to extract the exact secret image from the Stego-image. Therefore, retrieving the exact original image from the Stego-image is nearly impossible. The proposed non-invertible transformation function embeds the Huffman encoded bit-stream of a secret image in the DCT coefficients of the iris texture to generate the transformed template. This novel method provides very high security as it is not possible to regenerate the original iris template from the transformed (stego) iris template. In this paper, we have also improved the segmentation and normalization process.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cancelable biometrics, Non-invertible Transformation, Steganography, DCT, Huffman Encoding
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 01 Oct 2018 09:29
Last Modified: 11 Oct 2019 19:15
URI: http://nrl.northumbria.ac.uk/id/eprint/35955

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