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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Fingerprint Directional Image Enhancement
verfasst von : Lukasz Wieclaw
Erschienen in: Computational Forensics
Verlag: Springer Berlin Heidelberg
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This work presents an efficient algorithm to enhance the directional image. Orientation, as a global feature of fingerprint, is very important to image preprocessing methods used in automatic fingerprint identification system (AFIS). Proposed algorithm consists of two weighted averaging stages over a neighborhood. In the first stage the 2D gaussian kernel is used as a weight and in the second stage the differentiation mask is used. That strategy allows an effective smoothing of the orientation in the noisy areas, without information loss in the high curvatured ridges areas. Experimental results show that the proposed method improves the performance of the fingerprint identification, comparing to the results obtained by the conventional, gradient based method.