Abstract
The process of digital verification is a real needed factor in the current era of the technological world. Especially in the sector of online payment, verifying the authenticity of the user has always been a challenge and considered unsafe. A privileged process and current breakthrough of technology is the fingerprint recognition and the simplification of its usage in current smartphones and its simplicity. The aim of this work is to create a mode of digital verification that emphasis on verifying the user credentials, especially on secure payments. This is achieved by generation of a QR code by the given input fingerprint. The fingerprint link is converted to hexadecimal value and with that value, the QR code is generated. A signature of the user is saved as an image and is embedded with the QR using additive substitution and discrete wavelength transform (DWT) techniques in steganography. When a fingerprint is given as input to the fingerprint-generated and signature-embedded QR, the QR gets decoded and the given fingerprint is compared with the decoded fingerprint, now the similarity measure is compared among them, if the similarity measure is greater than the threshold set, the verification process will be successful else it asks for a digital doodle signature, now this signature is compared with the engrafted signature of the QR and again similarity of both the image is compared using the standard Image Quality Assessment (IQA) matrix.
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The authors have obtained all the images of the subjected fingerprints involved in this study from open available database FVC2002.
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Prasad, P.K., Sonika, R.K., Aroma, R.J., Balamurugan, A. (2020). Enhanced Security Credentials for Image Steganography Using QR Code. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_28
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DOI: https://doi.org/10.1007/978-981-13-9683-0_28
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