Pipelined minutiae extraction from fingerprint images

Author

Alibeigi, Eman ; Rizi, Majid Toghiani ; Behnamfar, Parisa

Author_Institution

Isfahan Univ. of Technol., Isfahan

fYear

2009

fDate

3-6 May 2009

Firstpage

239

Lastpage

242

Abstract

Fingerprint identification is an important biometric technique for personal identification. Most of the automatic systems of fingerprint recognition are based on matching of fingerprint minutiae. In this paper, we described a method that reduces the complexity of computations and extract the minutiae from binary image with appropriate speed. In this paper a new hardware scheme is presented which is based on pipelined architecture in order to real-time minutiae extraction. Simulations and implementation result shows the operation and accuracy of suggested method.

Keywords

feature extraction; fingerprint identification; image matching; pipeline processing; binary image; biometric technique; fingerprint identification; fingerprint images; fingerprint minutiae matching; fingerprint recognition; hardware scheme; personal identification; pipelined architecture; pipelined minutiae extraction; Bifurcation; Biological system modeling; Biometrics; Computer architecture; Data mining; Fingerprint recognition; Hardware; Image matching; Logic; Pixel; Biometrics; Fingerprint; Hardware; Minutiae Extraction; Pipelined Architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on

Conference_Location

St. John´s, NL

ISSN

0840-7789

Print_ISBN

978-1-4244-3509-8

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2009.5090128

Filename

5090128