DocumentCode :
3259524
Title :
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
Link To Document :
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