Deflection Angle Detection Method Study for Two Fingerprint Images Based on the Fingerprint Character Ring

Author

Lu, Jie ; Hu, Xuxiao ; Wang, Puyu

Author_Institution

Zhejiang Wellcom Biometrics Co. Ltd., Hangzhou, China

Volume

3

fYear

2010

fDate

16-17 Dec. 2010

Firstpage

321

Lastpage

325

Abstract

Since the fingerprint image is quasi-periodical, to reduce the True Rejection Rate (TRR) and the Fault Acception Rate (FAR) of image matching, this paper presented a new deflection angle detection method for two fingerprint images based on the character ring of image amplitude-frequency figure. First, rotation and translation between the two images are separated in theory. Then character rings are extracted respectively and coordinate transformation is taken. Thus the offset is calculated by phase correlation algorithm and turned into deflection angle. Matching experiment using this method shows that the TRR is 0.7137% and the FAR is 0.

Keywords

correlation methods; feature extraction; fingerprint identification; image matching; FAR; TRR; coordinate transformation; deflection angle detection method study; fault acception rate; feature extraction; fingerprint character ring; fingerprint images; image amplitude-frequency figure; image matching; phase correlation algorithm; quasi-periodical; true rejection rate; Correlation; Fingerprint recognition; Fingers; Frequency domain analysis; Image matching; Noise; Pixel; character ring; deflection angle; detection; fingerprint image;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9247-3

Type

conf

DOI

10.1109/GCIS.2010.89

Filename

5709385