Title :
Minutiae Extraction in Fingerprint Using Gabor Filter Enhancement
Author :
Lavanya, B.N. ; Raja, K.B. ; Venugopal, K.R. ; Patnaik, L.M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangalore Univ., Bangalore, India
Abstract :
Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae. In this paper the Minutiae Extraction in Fingerprint using Gabor Filter Enhancement (MEGFE) algorithm is proposed for minutiae feature extraction and post processing. A global feature extraction and fingerprints enhancement are based on Hong enhancement method which is simultaneously able to extract local ridge orientation and ridge frequency. It is observed that the Sensitivity and Specificity values are better compared to the existing algorithms.
Keywords :
Gabor filters; feature extraction; fingerprint identification; Gabor filter enhancement; Hong enhancement; fingerprint pattern; fingerprints enhancement; global feature extraction; human fingerprints; local ridge orientation; minutiae extraction; minutiae feature extraction; personnel identification; ridge frequency; Biometrics; Character recognition; Feature extraction; Fingerprint recognition; Fingers; Frequency; Gabor filters; Image matching; Reliability engineering; Telecommunication computing; Biometrics; Fingerprint; Minutiae Extraction; Orientation Image; Ridge;
Conference_Titel :
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location :
Trivandrum, Kerala
Print_ISBN :
978-1-4244-5321-4
Electronic_ISBN :
978-0-7695-3915-7
DOI :
10.1109/ACT.2009.23
