Abstract
Most fingerprint-based biometric systems establish a reference point in a fingerprint, then extract features based on this reference point. As such, the consistency and accuracy of the reference point location considerably affects the overall system performance. Accordingly, this paper presents an accurate and consistent reference point detection algorithm based on orientation pattern labeling. Experimental results demonstrate that the proposed method can produce a better performance in terms of accuracy and speed than Poincaré index or sine map-based methods.
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Park, CH., Oh, SK., Kwak, DM., Kim, BS., Song, YC., Park, KH. (2003). A New Reference Point Detection Algorithm Based on Orientation Pattern Labeling in Fingerprint Images. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_81
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DOI: https://doi.org/10.1007/978-3-540-44871-6_81
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