DocumentCode
2208700
Title
A Fingerprint Recognition Algorithm Based on Principal Component Analysis
Author
Yongxu, Wang ; Xinyu, Ao ; Yuanfeng, Du ; Yongping, Li
Author_Institution
Shanghai Inst. of Appl. Phys., Chinese Acad. of Sci., Beijing
fYear
2006
fDate
14-17 Nov. 2006
Firstpage
1
Lastpage
4
Abstract
While most of current automatic fingerprint identification systems (AFIS) are using fingerprint minutiae in the matching process, this paper introduces a fingerprint recognition algorithm based on statistics. Firstly, it uses principal component analysis (PCA) to extract statistical feature of the fingerprint using a vector to describe the fingerprint; secondly, a novel approach is employed to segment region of interest
Keywords
feature extraction; fingerprint identification; image matching; principal component analysis; AFIS; PCA; automatic fingerprint identification system; matching process; principal component analysis; statistical feature extraction; Bifurcation; Euclidean distance; Feature extraction; Fingerprint recognition; Image matching; Joining processes; Physics; Principal component analysis; Scattering; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location
Hong Kong
Print_ISBN
1-4244-0548-3
Electronic_ISBN
1-4244-0549-1
Type
conf
DOI
10.1109/TENCON.2006.344032
Filename
4142582
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