DocumentCode
1852046
Title
Cross-correlation based binary image registration for 3D palmprint recognition
Author
Ming Liu ; Lihua Li
Author_Institution
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1597
Lastpage
1600
Abstract
A new binary image registration algorithm is proposed for 3D palmprint recognition. When two 3D palmprint images are matched, three binary images are extracted from each of them which encode the orientation information. Based on the cross-correlations of the binary images a new algorithm is developed to calculate the translation parameters. Then the binary images are aligned and matched. Experimental results on the HK-Poly 2D+3D palmprint database show the good performance of our method.
Keywords
correlation methods; feature extraction; image coding; image matching; image registration; palmprint recognition; 3D palmprint image matching; 3D palmprint recognition; HK-Poly 2D+3D palmprint database; binary image extraction; binary image matching; binary image registration; orientation information encoding; translation parameter; 3D palmprint recognition; Gabor filter; cross-correlation; orthogonal line feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491885
Filename
6491885
Link To Document