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Proceedings Paper

Fingerprint image edge detection based on fractal Brownian motion
Author(s): Long Gan; Jun Gao; Yong Hu; Wei Cao
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Paper Abstract

Aiming at the existing questions in the preprocessing step of fingerprint image, an improved edge detection algorithm is presented based on the concept of fractal Brownian motion model in this paper. Due to the fact that the structure of fingerprint is typically self-similar, which satisfies the model of fractional Brownian random field except edges, so it can be used as the principle of detection. By selecting those pixels that fractal parameters are in a certain range, the fingerprint edges can be detected. The results of experiment have shown that this improved algorithm obtain much more edge details than most traditional methods do and reflect the edge information of original image much better. At the same time, this algorithm reduces the computation complexity greatly and enhances the speed of edge detection.

Paper Details

Date Published: 31 July 2002
PDF: 6 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477209
Show Author Affiliations
Long Gan, Hefei Univ. of Technology (China)
Jun Gao, Hefei Univ. of Technology (China)
Yong Hu, Hefei Univ. of Technology (China)
Wei Cao, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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