Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …

Finger-vein recognition, which is one of the conventional biometrics, hinders fake attacks, is
cheaper, and it features a higher level of user-convenience than other biometrics because it …

Local binary pattern (LBP) is popular for the texture representation owing to its
discrimination ability and computational efficiency, but when used to describe the sparse …

Biometrics authentication is an effective method for automatically recognizing a person's
identity. Recently, it has been found that the finger–knuckle-print (FKP), which refers to the …

In this paper, we present a multimodal personal identification system that fuses finger vein
and finger dorsal images at the feature level. First, we design an image acquisition device …

Researchers have recently found that the finger-knuckle-print (FKP), which refers to the
inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has …

In this paper, biometric methods for contactless and unrestricted access control for mobile
devices are proposed. The major contribution of this paper are palmprint and knuckles …

Presented is a new approach to person verification using fingerknuckle-prints (FKPs). It
applies a Gabor filter to enhance the FKP information and a scale invariant feature transform …

This paper proposes a finger-knuckle-print based authentication system by fusing multiple
texture features. It contains new algorithms for extracting region of interest (ROI) with the …

Abstract The Competitive Coding (CompCode) scheme, which extracts and codes the local
dominant orientation as features, has been widely used in finger knuckle print (FKP) …