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- W3115113997 abstract "AbstractThe performance of any biometric matching system depends on the features extraction of the used biometric identifier (fingerprint, face, iris, voice, retina, etc.) during enrolment and its matching while identification. The minutiae-based fingerprint matching systems are primarily dealing with the problem of the resulting number of false minutiae correspondences between query fingerprint and the template stored in the database during the identification process. This affects the system performance and eventually decreases the fingerprint matching accuracy. This paper presents a proposed algorithm as the solution incorporating the use of ridge contour points (level 3) with minutiae at feature level in order to reduce the false minutiae correspondences. The set of ridge contour points are detected in the vicinity of the minutiae involved in the matched minutiae pairs. The false correspondences are reduced by minimizing the Euclidean distance between the sets of ridge contour points associated with the minutiae pair with the help of Iterative Closest Point (ICP) algorithm. The fingerprint matching by utilizing the proposed algorithm achieves high recognition accuracy and improved error rates in comparison to the minutiae-based only fingerprint matching when applied over FVC 2006 database.KeywordsFalse correspondenceFingerprintRidge contourMatchingMinutiae" @default.
- W3115113997 created "2021-01-05" @default.
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- W3115113997 date "2020-12-21" @default.
- W3115113997 modified "2023-09-26" @default.
- W3115113997 title "A Utility of Ridge Contour Points in Minutiae-Based Fingerprint Matching" @default.
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- W3115113997 doi "https://doi.org/10.1007/978-981-15-8767-2_24" @default.
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