Abstract
Biometric recognition system is the popular technique used for authentication applications. Multimodal biometrics are more likely used for biometric recognition system since it has more advantages. This paper proposes a new multimodal biometric system which combines two feature extraction algorithms in fingerprint recognition system to ensure the optimal security. A fingerprint image is applied to two different algorithms and the matching process was carried out. The algorithms are distance method and template-based method. In the distance method, the center point and the ridge points of the fingerprint image were captured, each ridge point was connected with the center point of the fingerprint and the distance was calculated. In template-based matching method, the set of ridges were extracted and the template was generated based on ridges and minutiae set and compared with the template from the database. Finally the results are combined at the decision level fusion; the user is authenticated and the proposed algorithm focuses on the accuracy, universality, and ease of use.
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Karthi, G., Ezhilarasan, M. (2019). Multimodal Biometrics Authentication Using Multiple Matching Algorithm. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_36
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DOI: https://doi.org/10.1007/978-981-13-0617-4_36
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0616-7
Online ISBN: 978-981-13-0617-4
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