Biometric-based individual distinguishing proof is a successful strategy for consequently perceiving, with high certainty, an individual's character. The utilization of finger knuckle pictures ID has shown promising outcomes and produced ton interest in biometrics. By seeing that the surface example delivered by twisting profoundly particular, this paper we present new biometric validation fram...

1 Ms. Arti B Waghode, M.E. (Digital System), JSPM’s JSCOE Pune, Maharashtra, India 2 Assistant Professor. C A Manjare, Dept. of E&TC Engineering, JSPM’s, JSCOE, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Finger knuckle print can be incredibly beneficial for person i...

Based on linear regression, a novel method called reconstructive discriminant analysis (RDA) is developed for feature extraction and dimensionality reduction (DR). RDA is induced from linear Regression classification (LRC). LRC assumes each class lies on a linear subspace and finds the nearest subspace for a given sample. But the original space cannot guarantee that the given sample matches its...

This paper presents a simple and robust method, namely discriminative histograms of local dominant orientation (D-HLDO), for biometric image feature extraction. In D-HLDO, the local dominant orientation map and the corresponding relative energy map are obtained by applying the singular value decomposition (SVD) to the collected gradient vectors over a local patch. The dominant orientation map a...

Abstract—This paper proposed the use of multi-instance as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-This paper proposed the use of multi-instance as a means to improve the performance of Finger Knuckle Print (FKP) verification. A logGabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiment...