Title :
Enhanced gabor-based region covariance matrices for palmprint recognition
Author :
Lu, Jun ; Zhao, Yiwen ; Hu, Jiankun
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the Gabor phase (GP) of a certain image contain effective information for image feature extraction, they are utilised simultaneously to construct the proposed EGRCM image descriptor for palmprint recognition. Experimental results demonstrate the efficacy of the proposed method.
Keywords :
biometrics (access control); covariance matrices; feature extraction; image recognition; Gabor based region; Gabor magnitude; Gabor phase; covariance matrices; image feature extraction; palmprint recognition;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2009.0871