Abstract
Accurate and reliable center point determination of the fingerprint is an essential pre-processing step for the image based fingerprint recognition approach. This step is particularly important since a reference point is required to cancel the variation in position of the reference and testing fingerprint image. This paper illustrated an automatic center point determination algorithm that couples the modified averaged square directional field (MASDF) with morphol-ogical operation, in order to pinpoint the center point of the fingerprint efficiently and accurately. The experiment result shows only 3.13% rejection rate for the false center point by using the proposed method.
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Andrew, T.B.J., Ong, T.S., David, N.C.L., Sek, Y.W. (2003). Automatic Fingerprint Center Point Determination by Using Modified Directional Field and Morphology. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_54
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DOI: https://doi.org/10.1007/978-3-540-24581-0_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20646-0
Online ISBN: 978-3-540-24581-0
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