Title
A novel fingerprint matching method based on the Hough transform without quantization of the Hough space
Abstract
In contrast to the conventional usage of the Hough transform for fingerprint alignment, our novel Hough transform-based fingerprint registration algorithm proposed in this paper doesn't need to discretize the Hough space when estimating the parameters of the rigid transformation between two fingerprint impressions. In our algorithm, the parameters (rotation, x translation and y translation) of the transform (rigid transform considered) can be estimated separately. In addition, the orientation fields from the fingerprints, instead of the minutiae, are used to estimate the most optimal rotation parameter. The experimental results obtained on the public domain collections of fingerprint images, FVC2002 db2 set A (800 fingerprints) and db3 set A (800 fingerprints), show that the new fingerprint registration algorithm presented in this paper is faster and more effective as compared to the conventional generalized Hough transform-based fingerprint alignment method.
Year
DOI
Venue
2004
10.1109/ICIG.2004.19
ICIG
Keywords
Field
DocType
conventional usage,fingerprint identification,novel fingerprint matching method,fingerprint matching method,image matching,hough space,fingerprint registration,rigid transform,alignment method,parameter estimation,fingerprint image,quantisation (signal),novel hough,fingerprint alignment,generalized hough transform-based fingerprint,fingerprint impression,hough transform,image registration,new fingerprint registration algorithm,rotation parameter estimation,hough transforms,transform-based fingerprint registration algorithm,fingerprint registration algorithm,public domain
Computer vision,Pattern recognition,Fingerprint recognition,Minutiae,Computer science,Rigid transformation,Hough transform,Fingerprint,Artificial intelligence,Pixel,Pattern matching,Image registration
Conference
ISBN
Citations 
PageRank 
0-7695-2244-0
3
0.78
References 
Authors
7
4
Name
Order
Citations
PageRank
Jin Qi1667.43
Zhongchao Shi2245.65
Xuying Zhao3567.39
Yangsheng Wang475066.25