Mathekga, Mmamolatelo EMsiza, IS2010-04-182010-04-182009-11Mathekga, 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 1-6978-0-7992-2356-9http://hdl.handle.net/10204/404620th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Stellenbosch, South Africa, 30 November-01 December 2009A 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.enTransition lineAlgorithmOrientation imageDeltaDetection accuracyDetection timeHumanversus- AlgorithmFingerprint verification competition 2002Singular point detectionConference PresentationMathekga, M. E., & Msiza, I. (2009). Singular point detection algorithm based on the transition line of the fingerprint orientation image. http://hdl.handle.net/10204/4046Mathekga, Mmamolatelo E, and IS Msiza. "Singular point detection algorithm based on the transition line of the fingerprint orientation image." (2009): http://hdl.handle.net/10204/4046Mathekga ME, Msiza I, Singular point detection algorithm based on the transition line of the fingerprint orientation image; 2009. http://hdl.handle.net/10204/4046 .TY - Conference Presentation AU - Mathekga, Mmamolatelo E AU - Msiza, IS AB - 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. DA - 2009-11 DB - ResearchSpace DP - CSIR KW - Transition line KW - Algorithm KW - Orientation image KW - Delta KW - Detection accuracy KW - Detection time KW - Humanversus- Algorithm KW - Fingerprint verification competition 2002 KW - Singular point detection LK - https://researchspace.csir.co.za PY - 2009 SM - 978-0-7992-2356-9 T1 - Singular point detection algorithm based on the transition line of the fingerprint orientation image TI - Singular point detection algorithm based on the transition line of the fingerprint orientation image UR - http://hdl.handle.net/10204/4046 ER -