Implementation and evaluation of NIST Biometric Image Software for fingerprint recognition

Author

Maddala, Sainath ; Tangellapally, Sreekanth Rao ; Bartünêk, Josef Ström ; Nilsson, Mikael

Author_Institution

Dept. of Signal Process., Blekinge Inst. of Technol., Karlskrona, Sweden

fYear

2011

fDate

6-8 Jan. 2011

Firstpage

1

Lastpage

5

Abstract

Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae and are unique for each person. This paper describes implementation and evaluation of an existing fingerprint recognition system in MATLAB environment. The selected system is developed by National Institute of Standards and Technology (NIST) denoted as Biometric Image Software (NBIS). The NBIS source code is written in ANSI C programming language. To be able to evaluate the algorithm in MATLAB a C language MEX-files has been used. The NBIS support both minutiae extraction and minutiae matching functions that have been employed in the evaluation. The implemented system has been tested on a Fingerprint Verification Competition (FVC) database. The results are presented as Receiver Operating Characteristics (ROC) graphs.

Keywords

ANSI standards; fingerprint identification; mathematics computing; programming languages; sensitivity analysis; ANSI C programming language; Fingerprint Verification Competition; MATLAB; MEX-files; NBIS source code; NIST; National Institute of Standards and Technology; biometric image software; fingerprint recognition; minutiae extraction; minutiae matching; receiver operating characteristics; Bifurcation; Biomedical imaging; Fingerprint recognition; Image matching; MATLAB; NIST; Pixel; Biometric; MEX-file; NIST Fingerprint Verification; ROC graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Biosignals and Biorobotics Conference (BRC), 2011 ISSNIP

Conference_Location

Vitoria

Print_ISBN

978-1-4244-8212-2

Type

conf

DOI

10.1109/BRC.2011.5740672

Filename

5740672