Different Methods For Fingerprint Image Orientation Estimation
2012 20TH TELECOMMUNICATIONS FORUM (TELFOR)(2012)
Abstract
Orientation field as a global feature of fingerprints is very important in automatic fingerprint identification systems (AFIS). In fact the overall performance of fingerprint recognition process largely depends on it's accurate estimation. The subject of this paper is to present different methods for fingerprint image orientation estimation, including novel one based on multiscale approach.
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Key words
fingerprint image, orientation field, gradient, PCA, pyramid decomposition
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