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Fingerprint image enhancement with second derivative Gaussian filter and directional wavelet transform
Author(s)
Sihalath, Keokanlaya
Choomchuay, Somsak
Wada, Shatoshi
Hamamoto, Kazuhiko
Date Issued
June 1, 2010
Type
Conference Paper
Abstract
In this paper, we propose a technique for enhancing the quality of fingerprint images. Directional wavelet transform and second derivative of a Gaussian filter are applied. The original fingerprint image is decomposed into approximation and detail sub-images. To each sub-dimension a directional filter: second derivative of Gaussian filter is applied for tuning up the image features. The enhanced image is measured for its improvement by testing the success of core point identification where Poincare technique is used. The commonly-well-known database FVC-2004 is used in this study. The obtained results offer clean visualization as well as the increase the success of true core point detection. © 2010 IEEE.
Citation
2010 2nd International Conference on Computer Engineering and Applications Iccea 2010, 2, 112-116, 2010