A Novel Authentication Model Based on Multi- Biometric Hashing
A Novel Authentication Model Based on Multi- Biometric Hashing |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-8 |
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| Year of Publication : 2023 | ||
| Author : Ahmed Y. Mahmoud, Mohammed Hazem M. Hamadaqa |
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| DOI : 10.14445/22315381/IJETT-V71I8P218 | ||
How to Cite?
Ahmed Y. Mahmoud, Mohammed Hazem M. Hamadaqa, "A Novel Authentication Model Based on Multi- Biometric Hashing," International Journal of Engineering Trends and Technology, vol. 71, no. 8, pp. 201-215, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I8P218
Abstract
Authentication systems based on biometrics have been widely used in recent years as a means to enhance security and improve the user experience. However, traditional biometric authentication systems that rely on a single biometric modality, such as fingerprints or facial recognition, may not be able to provide a sufficient level of security and accuracy. This is particularly true in scenarios where the quality of the biometric samples is poor or when the users are trying to impersonate someone else. In this paper, we proposed a novel approach for biometric authentication that addresses these limitations by combining multiple biometric modalities. The proposed system uses fingerprints and the iris eye as the primary means of identification to increase security, reliability, and accuracy. The use of multiple modalities enables the system to account for variations in the quality of individual samples, thus reducing the chances of false rejections or acceptances. Furthermore, this paper proposes the use of hash functions for data retrieval as a way to reduce storage costs and improve the speed of the system. The paper investigates various hash algorithms, such as SHA1, SHA-256, and SHA-512; SHA3-256 and SHA3-512 give a 10% success rate in matching and also demonstrates that the use of Perceptual Hash, Average Hash, and Difference Hash algorithms result in an 83.33% success rate in matching.
Keywords
Average Hash, Biometric authentication, Difference Hash, Multi-biometric, Perceptual Hash.
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