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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491885
