Abstract
Fingerprints are widely used since more than 100 years for personal identification due to its feasibility, permanence, distinctiveness, reliability, accuracy and acceptability. This paper proposes a multibiometric fingerprint recognition system based on the fusion of minutiae and ridges as these systems render more efficiency, convenience and security than any other means of identification. The increasing use of these systems will reduce identity theft and fraud and protect privacy. The fingerprint minutiae and ridge features are ridge bifurcations and ridge endings respectively that are combined to enhance overall accuracy of the system. The existence of multiple sources adequately boosts the dimensionality of the feature space and diminishes the overlap between the feature spaces of different individuals. These features are fused at feature level as it provides better recognition performance because the feature set comprises abundant source information than matching level or decision level.
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Gudavalli, M., Kumar, D.S., Raju, S.V. (2015). A Multibiometric Fingerprint Recognition System Based on the Fusion of Minutiae and Ridges. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_26
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DOI: https://doi.org/10.1007/978-3-319-13728-5_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13727-8
Online ISBN: 978-3-319-13728-5
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