Orientation- and edge-map-based fingerprint core-point detection

Young-Chul Song; Stephen J. Elliott

doi:10.1117/1.2898901

1 March 2008 Orientation- and edge-map-based fingerprint core-point detection

Young-Chul Song, Stephen J. Elliott

Author Affiliations +

Optical Engineering, Vol. 47, Issue 3, 037201 (March 2008). https://doi.org/10.1117/1.2898901

Abstract

A new core-point detection method using orientation and edge maps, where a color loop-up table is defined and used to obtain the orientation map, is presented. To achieve high speed detection, all processes are performed with the reduced image. The edge map is obtained by detecting the edges on the orientation map. Then an upper-part maximum edge region is defined as the edge region with maximum area in the edge map. Finally, the core point can be detected simply by finding a point located in the lowest part of the upper-part maximum edge region. Experimental results show that the proposed method can effectively detect the core point for all types of fingerprints including the arch type.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Young-Chul Song and Stephen J. Elliott "Orientation- and edge-map-based fingerprint core-point detection," Optical Engineering 47(3), 037201 (1 March 2008). https://doi.org/10.1117/1.2898901

Published: 1 March 2008

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