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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4046

Title: Singular point detection algorithm based on the transition line of the fingerprint orientation image
Authors: Mathekga, ME
Msiza, IS
Keywords: Transition line
Algorithm
Orientation image
Delta
Detection accuracy
Detection time
Humanversus- Algorithm
Fingerprint verification competition 2002
Singular point detection
Issue Date: Nov-2009
Citation: Mathekga, ME and Msiza, IS 2009. Singular point detection algorithm based on the transition line of the fingerprint orientation image. 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Stellenbosch, South Africa, 30 November-01 December 2009, pp 1-6
Abstract: A new algorithm for identifying and locating singular points on a fingerprint image is presented. This algorithm is based on properties of the fingerprint orientation image, including a feature defined as a transition line. The transition line is shown to provide an efficient means of both tracking and classifying singular points without having to search through the entire fingerprint image. The algorithm is shown to be precise and its performance is evaluated using three measures, namely, the detection accuracy (DA), the detection time (DT) and a Humanversus-Algorithm (HvA) score. Using a dataset from the Fingerprint Verification Competition 2002 (FVC 2002), the performance of the algorithm is: DA = 89.6 %, DT = 0.48 s and HvA = 0.92.
Description: 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Stellenbosch, South Africa, 30 November-01 December 2009
URI: http://hdl.handle.net/10204/4046
ISBN: 978-0-7992-2356-9
Appears in Collections:Information security
General science, engineering & technology

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