An Efficient Vein Pattern-based Recognition System

TL;DR

This paper introduces an efficient vein pattern recognition system from palm dorsal images, utilizing a novel absorption technique, automatic region detection, and Euclidean distance matching, achieving high accuracy on a sizable dataset.

Contribution

The paper proposes a new absorption-based image acquisition method and an automated feature extraction process for vein recognition, improving accuracy and efficiency.

Findings

Accuracy of 99.26% on the dataset

False rejection rate of 0.03%

Effective on 1750 images from 341 individuals

Abstract

This paper presents an efficient human recognition system based on vein pattern from the palma dorsa. A new absorption based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. A Euclidean Distance based matching technique has been used for making the decision. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the verification system is found to be 99.26% with false rejection rate (FRR) of 0.03%.