… to represent high-level discriminative features for multiple scenarios in palmprint recognition
with learned discriminative … deep discriminative representation (DDR). We propose to learn …

… the discriminative power of different kinds of directions so that more discriminative direction
… an effective and compact discriminant direction descriptor for palmprint recognition. Fig. 1 …

… images are transformed into a small feature space, which can represent the principal
components of the palmprints quite well. 4) Correlation filter based [5], which is used with …

… In this paper, we propose a new direction binary code learning method for palmprint
representation and recognition. We first form informative convolution difference vectors from …

… several representative palmprint recognition methods. … design the discriminant orientation
features learning and discriminant scale … the angular and utilize four bits to represent features. …

… To represent the region-specific features of a palmprint, we use the blockwise statistics of
the DHPFL codes as the final features. Specifically, having learned the projection matrix W, we …

… and achieved promising recognition performance. However, due … Motived this way, we
propose a novel palmprint recognition … all direction levels have discriminative power, which is an …

… palmprint recognition method based on the representation in the feature space. The proposed
method seeks to represent … linear combination to perform palmprint recognition. We can …

… discriminant information is our major concern. The modified multiscale edge representations
of the palmprint … contrast and intersection points of the palmprint and palm vein lines. The …

… are the most significant and discriminative features of 2-D palmprint images. Also, local …
binary-based descriptor for palmprint representation and recognition. Conventional orientation …