DocumentCode :
3624747
Title :
Adaptive Fingerprint Binarization by Frequency Domain Analysis
Author :
Josef Strom Bartunek;Mikael Nilsson;Jorgen Nordberg;Ingvar Claesson
Author_Institution :
Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, Box 520, SE-372 25 Ronneby, Sweden. E-mail: jsb@bth.se
fYear :
2006
Firstpage :
598
Lastpage :
602
Abstract :
This paper presents a new approach for fingerprint enhancement by using directional filters and binarization. A straightforward method for automatically tuning the size of local area is obtained by analyzing entire fingerprint image in the frequency domain. Hence, the algorithm will adjust adaptively to the local area of the fingerprint image, independent on the characteristics of the fingerprint sensor or the physical appearance of the fingerprints. Frequency analysis is carried out in the local areas to design directional filters. Experimental results are presented.
Keywords :
"Fingerprint recognition","Frequency domain analysis","Band pass filters","Gabor filters","Image matching","Filtering","Image analysis","Frequency estimation","Adaptive signal processing","Electronic mail"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC ´06. Fortieth Asilomar Conference on
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.354818
Filename :
4176628
Link To Document :
بازگشت