Improving minutiae extraction in fingerprint images through robust enhancement

Author

Bandur, Milos V. ; Popovic, Branislav M. ; Raicevic, Andelija M. ; Randelovic, Dragan

Author_Institution

Fac. of Tech. Sci., Univ. of Pristina, Mitrovica, Serbia

fYear

2013

fDate

26-28 Nov. 2013

Firstpage

506

Lastpage

509

Abstract

The paper describes in detail the skeleton-based algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.

Keywords

Gabor filters; feature extraction; image enhancement; image matching; Log-Gabor filters; automatic fingerprint identification system; fingerprint image quality; fingerprint images; fingerprint matching; fingerprint minutiae; frequency domain; minutiae extraction; robust enhancement; skeleton-based algorithm; Feature extraction; Filtering algorithms; Fingerprint recognition; Frequency-domain analysis; Image matching; Image segmentation; Robustness; Log-Gabor filters; enhancement; fingerprint image; minutia extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Forum (TELFOR), 2013 21st

Conference_Location

Belgrade

Print_ISBN

978-1-4799-1419-7

Type

conf

DOI

10.1109/TELFOR.2013.6716277

Filename

6716277