DocumentCode
1842539
Title
Postprocessing algorithm for security features extraction
Author
Yusof, Rozita Mohd ; Sulaiman, Norrozila
Author_Institution
Fac. of Syst. Comput. & Software Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
fYear
2012
fDate
24-26 Sept. 2012
Firstpage
219
Lastpage
222
Abstract
One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features.
Keywords
edge detection; feature extraction; fingerprint identification; image denoising; image matching; false minutiae; fingerprint recognition; matching performance; minutiae detection; noises; postprocessing algorithm; ridge bifurcation; ridge ending; security feature extraction; spurious minutiae elimination; thinned image; Bifurcation; Bridges; Feature extraction; Fingerprint recognition; Humans; Image matching; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Learning and e-Technologies in Education (ICEEE), 2012 International Conference on
Conference_Location
Lodz
Print_ISBN
978-1-4673-1679-8
Type
conf
DOI
10.1109/ICeLeTE.2012.6333392
Filename
6333392
Link To Document