Region covariance matrices (RCMs) as feature descriptors have been developed due to the advantages of low dimensionality, being scale and illumination ...

Region covariance matrices (RCMs) as feature descriptors have been developed due to the advantages of low dimensionality, being scale and illumination ...

Bibliographic details on Region Covariance Matrices as Feature Descriptors for Palmprint Recognition Using Gabor Features.

A new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors is presented, using both pixel locations and ...

An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude ...

Then, the matching scores of non-occluded sub-blocks are fused through the sum rule [54]. Lu et al. propose the Enhanced Gabor-based Region Covariance Matrices ...

Aug 13, 2009 · An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the ...

This paper presents a new approach for palmprint recognition using a combined Fisher linear discriminant (FLD) and Gabor Wavelet responses.

An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude ...

Region covariance matrices (RCMs) as feature descriptors have been developed due to the advantages of low dimensionality, being scale and illumination ...