… By simply coding the orientation map of the palmprint high accuracy palmprint identification
could be implemented with high speed matching. The original competitive coding scheme …

… levels of fusion for the iris and palm-print biometric traits: feature level, score level and decision
level and … At the feature level, the feature vectors of the iris and palm were combined in a …

… However, these two branches do not cover some palmprint images which … palmprint
identification on images collected in uncontrolled and uncooperative environment, a new palmprint …

… palmprint representation called patch binarized statistical image features descriptor (PBSIFD)
for palmprint identification… only on the 2-D palmprint identification system at low resolution. …

… -D palmprint data, we extract both line and orientation features from it. The two types of
features are then fused at either score level or feature level for the final 3-D palmprint recognition. …

… propose two palmprint identification schemes … level fusion, combing matching scores of
principal lines and Locality Preserving Projections features, has been made for final identification …

… propose a multimodal ear and palmprint biometric-based feature-level fusion. There were
… ear and palmprint biometric system. First, data acquisition for ear and palmprint requires no …

… of data fusion at score level. We propose to extract the palmprint feature using the 2D-DFT
and the 2D-DCT. Thus, for each palm image, the two feature vectors are extracted and used …

… feature extraction and matching for 3-D palmprint recognition over the past decade. First, we
introduce the 3-D palmprint … -theart feature extraction schemes for 3-D palmprint recognition. …

… palmprint identification method by combining blocked ST and PCA. A new feature descriptor
of 3D palmprints … the dimension of the 3D palmprint feature and the subsequent computation …