DocumentCode :
3091875
Title :
Reference Point and Orientation Detection of Fingerprints
Author :
Mohammadi, Shahram ; Farajzadeh, Ali
Author_Institution :
Fac. of Eng., Univ. of Zanjan, Zanjan, Iran
Volume :
2
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
469
Lastpage :
473
Abstract :
In this paper we suggest a novel approach for detection of a unique reference point and computation of a unique reference orientation of fingerprints for feature extraction in polar coordinates. After finding orientation field of the fingerprint the curvature measurement is done on the result. By using this information it is possible to determine the exact location of the singular points. Based on this information finally the reference point and reference orientation will be obtained. The proposed method is of high accuracy and performance and at the meantime tolerates displacement and rotation of the input fingerprint. This can be applied to all classes of fingerprints especially to problematic arch class ones.
Keywords :
feature extraction; fingerprint identification; object detection; curvature measurement; feature extraction; fingerprint orientation detection; polar coordinates; reference point; unique reference orientation; Authentication; Computer networks; Detection algorithms; Explosives; Feature extraction; Fingerprint recognition; Hardware; IP networks; Noise robustness; Telecommunication computing; Orientation Field; Reference point; Singular point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
Type :
conf
DOI :
10.1109/ICCEE.2009.153
Filename :
5380254
Link To Document :
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