DocumentCode :
3342289
Title :
Characteristic Preserving Binarization for Fingerprint Image
Author :
Guo Lei ; Chen Da-hai ; Li Hai ; Chang Jiang
Author_Institution :
Northwestern Polytech. Univ., Xi´an
fYear :
2007
fDate :
22-24 Aug. 2007
Firstpage :
401
Lastpage :
408
Abstract :
This paper presents a new method for binarizing fingerprint image while preserving image characteristics. Firstly, a band-stop filter method is adopted to remove the noises in high frequency. At the same time, a simply- thresholded original image is passed to Gaussian low pass filter, and outlines of fingerprint region are get by applying region growing method to the filtered image. Then, background in band-pass image is filled with outlines of the fingerprint region. After these procedures, background intensity is close to zero, thus fixed threshold one is used for binarization. Our experiment results demonstrate that band- stop method can eliminate noises effectively in the fingerprint images. And binarization in outline of fingerprint can solve the problem of disturbance of the background. Segmenting foreground from background helps select threshold and keep the characteristics of fingerprint.
Keywords :
band-pass filters; filtering theory; fingerprint identification; Gaussian low pass filter; band-pass image; band-stop filter method; characteristic preserving binarization; filtered image; fingerprint image; fingerprint region; Acoustic noise; Band pass filters; Feature extraction; Filtering; Fingerprint recognition; Frequency domain analysis; Gabor filters; Image matching; Low pass filters; Spatial filters; band-stop filter; binarization.; fingerprint; region growing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
Type :
conf
DOI :
10.1109/ICIG.2007.42
Filename :
4297120
Link To Document :
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