Hybrid Fingerprint Matching Using Block Filter and Strength Factors

Author

Shashi Kumar, D.R. ; Kiran Kumar, K. ; Raja, K.B. ; Chhotaray, R.K. ; Pattnaik, Sabyasachi

Author_Institution

Dept. of CSE, Cambridge Inst. of Technol., Bangalore, India

Volume

1

fYear

2010

fDate

19-21 March 2010

Firstpage

476

Lastpage

480

Abstract

Fingerprint verification is a socially accepted biometric method for identification of a person. In this paper we propose Hybrid Fingerprint Matching using Block Filter and Strength Factor (HFMBFS). The minutiae and ridge based methods are combined to verify the fingerprint matching using strength factors Alpha (Â¿) and Beta (ÃŸ). For minutiae and ridge extraction Block Filter and Hough Transform are used respectively. It is observed that the matching percentage of two different fingerprints is improved compared to the existing algorithms.

Keywords

Hough transforms; feature extraction; fingerprint identification; image matching; Hough transform; block filter; fingerprint verification; hybrid fingerprint matching; minutiae extraction block filter; ridge extraction block filter; socially accepted biometric method; strength factor Alpha; strength factor Beta; Application software; Biometrics; Computer applications; Educational institutions; Feature extraction; Fingerprint recognition; Image matching; Matched filters; Military computing; Security; Block Filter; Hough Transform; Minutiae; Ridge Bifurcations; Ridge Endings;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICCEA), 2010 Second International Conference on

Conference_Location

Bali Island

Print_ISBN

978-1-4244-6079-3

Electronic_ISBN

978-1-4244-6080-9

Type

conf

DOI

10.1109/ICCEA.2010.98

Filename

5445783