A New Method to Extract Dorsal Hand Vein Pattern using Quadratic Inference Function

TL;DR

This paper introduces a novel quadratic inference function-based method for extracting dorsal hand vein features, aiming to enhance accuracy and reduce matching time in biometric systems.

Contribution

It proposes a new feature extraction technique using quadratic inference functions specifically for dorsal hand vein biometrics.

Findings

Tested on 100 images database

Evaluated FAR and FRR rates

Measured matching time improvements

Abstract

Among all biometric, dorsal hand vein pattern is attracting the attention of researchers, of late. Extensive research is being carried out on various techniques in the hope of finding an efficient one which can be applied on dorsal hand vein pattern to improve its accuracy and matching time. One of the crucial step in biometric is the extraction of features. In this paper, we propose a method based on quadratic inference function to the dorsal hand vein features to extract its features. The biometric system developed was tested on a database of 100 images. The false acceptance rate (FAR), false rejection rate (FRR) and the matching time are being computed.