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

Image processing

Databases

Optical engineering

Image quality

Detection and tracking algorithms

Fingerprint recognition

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