Fingerprint Verification Based on Ridgeline Representations

Author

Liu Wei ; Zhou Cong ; Ye Zhiwei

Author_Institution

Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

In this paper a structure based ridgeline matching algorithm for fingerprint verification is discussed. In order to combine with those global shapes of ridgelines, we first try to represent the fingerprint ridgelines with analyzable curves. We use the B-spline interpolation approach to fit the ridgelines with B-spline curves. Then we employ a ridgeline similarity score distribution algorithm to finish verification. Experiments done on a set of fingerprint images show it is effective and has high accuracy in fingerprint matching.

Keywords

computational geometry; fingerprint identification; image matching; image representation; interpolation; splines (mathematics); B-spline interpolation approach; fingerprint image verification; geometric framework; ridgeline fingerprint matching algorithm; ridgeline representation; ridgeline similarity score distribution algorithm; Biometrics; Fingerprint recognition; Image matching; Impedance matching; Interpolation; Polynomials; Shape; Smoothing methods; Spline; Strips;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072870

Filename

5072870