A two-stage algorithm for core point detection in fingerprint images

Author

Joshi, Tejas ; Dey, Somnath ; Samanta, Debasis

Author_Institution

Sch. of Inf. Technol., Indian Inst. of Technol., Kharagpur, India

fYear

2009

fDate

23-26 Jan. 2009

Firstpage

1

Lastpage

6

Abstract

Core point detection is a crucial task in fingerprint based biometric processing. In this paper, we propose a two-stage algorithm for core point detection in fingerprint images. The first stage determines the existence of core point region. The second stage determines the actual core point by ridge component identification followed by unwanted component elimination and core segment detection. To substantiate the efficacy of our approach, we have experimented with FVC-2004DB3 database. According to the experimental results, we are able to achieve more than 96% accuracy in core point detection.

Keywords

fingerprint identification; object detection; FVC-2004DB3 database; core point detection; core segment detection; fingerprint based biometric processing; fingerprint images; ridge component identification; two-stage algorithm; Biometrics; Fingerprint recognition; Frequency; Histograms; Image databases; Image matching; Image segmentation; Indexing; Information technology; Pixel; Biometrics; Core Point Detection; Fingerprint; Poincare Index; Ridge Component Elimination;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2009 - 2009 IEEE Region 10 Conference

Conference_Location

Singapore

Print_ISBN

978-1-4244-4546-2

Electronic_ISBN

978-1-4244-4547-9

Type

conf

DOI

10.1109/TENCON.2009.5396214

Filename

5396214