Faculty Publications
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Publications by NITK Faculty
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Item A Novel Fingerprint Image Enhancement based on Super Resolution(Institute of Electrical and Electronics Engineers Inc., 2020) Muhammed, A.; Pais, A.R.Fingerprint is a most common and broadly accepted biometric trait used for personal authentication. In fingerprint-based authentication, the feature extraction module extract features, and these extracted characteristics are used for authentication. In fingerprints, the feature extraction module heavily depends on the status of the image. However, in practice, always getting a good quality fingerprint image is not possible. Moreover, a notable number of fingerprints collected are of poor quality. The accurate extraction of fingerprint characteristics from a lesser quality fingerprint image is a challenging problem. Fingerprint enhancement is introduced to resolve this issue. Hence in this paper, we introduce a fingerprint enhancement technique using a Deep Convolution Neural Network (DCNN), which improves image quality. The proposed method consists of super-resolution, followed by filtering and enhancement. The proposed method provides better results as compared with the conventional fingerprint enhancement methods. The experimental results determine that the proposed strategy improves the visual clarity of low-quality images and reduces the error rates during the fingerprint matching. © 2020 IEEE.Item Biometric-Based Authentication in Online Banking(Springer Science and Business Media Deutschland GmbH, 2023) Hublikar, S.; Pattanashetty, V.B.; Mane, V.; Pillai, P.S.; Lakkannavar, M.; Shet, N.S.V.The use of technology has become the integral part of human life. Most importantly the introduction of Internet has made the lives of people easy and due to its cost effectiveness; usage of Internet by people has been increased. The Internet has made the people to move toward the online mode of transaction. Banks recommend their customers to use Internet banking facility and assure it as a safest mode of transaction but it is associated with huge risk. The continuous rise in online banking brings several security issues and increased cost of implementing higher security systems for banks and customers. Present online banking technology works on 2-Factor authentication mode, i.e., it works on both transaction level and authentication level. The main problem associated with 2-Factor authentication is that there may be risk associated, like cyberattack (SIM swapping fraud), etc., so we have proposed a biometric authentication technique which makes transaction more secure. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item A Novel Cancelable Fingerprint Template Generation Mechanism Using Visual Secret Sharing(Springer Science and Business Media Deutschland GmbH, 2024) Muhammed, A.; Pais, A.R.In fingerprint-based authentication system, cancelable fingerprint templates are generated to defend the fingerprint information. In this paper, we proposed a novel cancelable fingerprint template using Visual Secret Sharing (VSS). Using VSS, each fingerprint image is encrypted into different shares. Finally, these shares are preserved in distinct databases and treated as fingerprint template. Traditional VSS schemes are suffering from pixel expansion and contrast reduction. We have used grid-based VSS and data embedding mechanisms to succeed these limitations. The proposed fingerprint templates satisfy ideal properties of cancelable templates such as non-invertibility, diversity, and revocability without altering the performance of the authentication system. To enhance the speed of the template generation and reconstruction, we have used General Purpose Graphical Processing Unit (GPGPU) to fulfill the operations. The experimental evaluation validates that the reconstructed fingerprints have equivalent performance as the initial fingerprints with upgraded security. © Springer Nature Switzerland AG 2024.