Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

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 …

Automated biometrics identification using finger knuckle images has increasingly generated
interest among researchers with emerging applications in human forensics and biometrics …

Every day, billions of fingerprint images are captured worldwide through the extensive
deployment of slap-fingerprint acquisition devices, serving e-governance programs and …

Image matching is the most important fundamental task in many fields, such as image
sensing, video signal processing, computer vision, etc. Recently, the demand for high …

Local Binary Pattern (LBP) has been widely used for analyzing local texture features of an
image. Several new extensions of LBP based texture descriptors have been proposed …

The texture pattern produced by the finger knuckle bending is highly unique and makes the
surface a distinctive biometric identifier. This paper presents literature survey and …

In the? eld of biometric recognition, similarity measure using local features such as Gabor-
based coding, Local Binary Patterns (LBP) and Scale Invariant Feature Transform (SIFT) has …

This paper proposes a multi-finger knuckle recognition system for a door handle. The
proposed system consists of simple hardware such as a camera and a near-infrared light …