… relatively new biometric feature [4]. A simple palmprint biometric system has a sensor module,
for acquiring the palmprint, a feature extraction module, for palmprint representation, and …

… based on IrisCode for iris and palmprint identification, we lack a … , near optimal filters for
palmprint identification are sought. The … Palmprint has been studied for personal identification for …

… In existing palmprint identification algorithms, ROI … palmprint identification method without
ROI extraction, which measures hand geometry and angle values in coarse-level feature …

… For multimodal-based biometric recognition, many works have been done at different
fusion levels (such as sensor level, feature level, matching score level, decision level, etc.) (Ross …

… Palmprint feature extraction by texture analysis This section defines our palmprint feature
extraction … The motivation for using a Gabor filter in our palmprint research is first discussed. …

… • For 2-D palmprints, we propose the B-BSIF descriptor feature extraction scheme that …
statistical image feature (BSIF) filters whose responses on the given palmprint image were …

… palmprint identification systems has lagged due to the limitations of live-scan technologies
for palmprints, large number of creases present in palmprints, and … at feature level can lead to …

… on palmprint identification using … palmprint identification using euclidean distance classifier.
The aim of this paper is to investigate and analyse the behaviour of the texture features. The …

… Mumtaz and SA Khan, ”A feature level multimodal approach for palmprint identification using
directional subband energies,” Journal of Network and Computer Applications, vol. 34, no. 1…

… study of palmprint features. In this section, the statistical characteristics of different
palmprint features, different palmprint regions, as well as palmprint distortion are discussed. …