scholarly journals PALM VEIN PATTERN BIOMETRIC AUTHENTICATION TECHNOLOGY

2017 ◽  
pp. 134-139
Author(s):  
S. O. Baranov ◽  
D. B. Abramov
Keyword(s):  
Biometric Authentication ◽  
Vein Pattern ◽  
Authentication Technology ◽  
Palm Vein

Palm Vein Recognition Based on Independent Component Analysis

2013 ◽  
Vol 333-335 ◽  
pp. 1106-1109
Author(s):  
Wei Wu
Keyword(s):  
Pattern Recognition ◽  
Independent Component Analysis ◽  
Euclidean Distance ◽  
Recognition Performance ◽  
Component Analysis ◽  
Independent Component ◽  
Experimental Results ◽  
Vein Pattern ◽  
Vein Recognition ◽  
Palm Vein

Palm vein pattern recognition is one of the newest biometric techniques researched today. This paper proposes project the palm vein image matrix based on independent component analysis directly, then calculates the Euclidean distance of the projection matrix, seeks the nearest distance for classification. The experiment has been done in a self-build palm vein database. Experimental results show that the algorithm of independent component analysis is suitable for palm vein recognition and the recognition performance is practical.

A New Location Method of ROI for Contactless Palm Vein Recognition

2013 ◽  
Vol 760-762 ◽  
pp. 1398-1401
Author(s):  
Wei Wu ◽  
Wei Qi Yuan ◽  
Hui Song
Keyword(s):  
Pattern Recognition ◽  
Recognition Rate ◽  
New Method ◽  
Vein Pattern ◽  
Location Method ◽  
Vein Recognition ◽  
Palm Vein ◽  
New Location

Palm vein pattern recognition is one of the newest biometric techniques researched today.At present, literatures selecte the center of the palm as the ROI of palm vein recognition. However the vein image in this area is not clear in some peoples palm. In this paper, we proposed a new location method of ROI which takes thenar area as the ROI. In the experiment part, it compares the recognition rate between the new and the traditional ROI in self-established contactless palm vein database. The result shows that this new method has got the recognition rate of 98.9258% and has increased recognition rate 2.0911% compared with the traditional one.

scholarly journals Palm Vein Verification Using Multiple Features and Locality Preserving Projections

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Ali Mohsin Al-juboori ◽  
Wei Bu ◽  
Xiangqian Wu ◽  
Qiushi Zhao
Keyword(s):  
Extraction Methods ◽  
Physiological Characteristic ◽  
Experimental Result ◽  
Filter Method ◽  
Vein Pattern ◽  
Locality Preserving Projections ◽  
Locality Preserving ◽  
Feature Based ◽  
Commercial Applications ◽  
Palm Vein

Biometrics is defined as identifying people by their physiological characteristic, such as iris pattern, fingerprint, and face, or by some aspects of their behavior, such as voice, signature, and gesture. Considerable attention has been drawn on these issues during the last several decades. And many biometric systems for commercial applications have been successfully developed. Recently, the vein pattern biometric becomes increasingly attractive for its uniqueness, stability, and noninvasiveness. A vein pattern is the physical distribution structure of the blood vessels underneath a person’s skin. The palm vein pattern is very ganglion and it shows a huge number of vessels. The attitude of the palm vein vessels stays in the same location for the whole life and its pattern is definitely unique. In our work, the matching filter method is proposed for the palm vein image enhancement. New palm vein features extraction methods, global feature extracted based on wavelet coefficients and locality preserving projections (WLPP), and local feature based on local binary pattern variance and locality preserving projections (LBPV_LPP) have been proposed. Finally, the nearest neighbour matching method has been proposed that verified the test palm vein images. The experimental result shows that the EER to the proposed method is 0.1378%.

Study of Palm Vein Imaging Based on NIR

2013 ◽  
Vol 760-762 ◽  
pp. 1406-1409
Author(s):  
Wei Wu ◽  
Hui Song ◽  
Ke Su
Keyword(s):  
Pattern Recognition ◽  
Light Absorption ◽  
Recognition Accuracy ◽  
Region Of Interest ◽  
Vein Pattern ◽  
Vein Imaging ◽  
Palm Vein ◽  
Center Area

Palm vein pattern recognition is one of the newest biometric techniques researched today. In order to reduce the recognition calculation and increase the recognition accuracy, the region of interest (ROI) in the palm vein image must be selected. There are three areas on the palm: the center area of palm, the thenar area and the hypothenar area.This paper does contrast experiment of light absorption on the three area of palm. The experiment result is the thenar area is selected as the main scope of ROI.

NIR Palm Vein Pattern Recognition

2020 ◽  
Author(s):  
Swati Rastogi ◽  
Siddhartha P Duttagupta ◽  
Anirban Guha ◽  
Surya Prakash
Keyword(s):  
Pattern Recognition ◽  
Vein Pattern ◽  
Palm Vein

scholarly journals Generalized net model of a biometric authentication system based on palm geometry and palm vein matching using intuitionistic fuzzy evaluations

2020 ◽  
Vol 26 (4) ◽  
pp. 71-79
Author(s):  
Zhelyana Ivanova ◽  
◽  
Veselina Bureva ◽  
Keyword(s):  
Access Control ◽  
Research Work ◽  
Biometric Authentication ◽  
Biometric System ◽  
The Real ◽  
Multimodal Biometric System ◽  
Intuitionistic Fuzzy ◽  
Authentication System ◽  
Generalized Net ◽  
Palm Vein

In the current research work a multimodal biometric system is investigated. It combines the palm vein authentication and palm geometry recognition methods. The system will be used to manage the access control. The apparatus of generalized nets is applied to model the biometric authentication processes. The constructed generalized net model of biometric authentication system based on palm geometry and palm vein matching using intuitionistic fuzzy evaluations can be used for simulation of the real processes. The intuitionistic fuzzy evaluations are used to compare the user traits with the templates stored in database.

scholarly journals Palm Vein Pattern Visual Interpretation Using Laplacian and Frangi-Based Filter

2018 ◽  
Vol 10 (2) ◽  
pp. 578
Author(s):  
Zarina Mohd Noh ◽  
Abdul Rahman Ramli ◽  
Marsyita Hanafi ◽  
M Iqbal Saripan ◽  
Ridza Azri Ramlee
Keyword(s):  
Near Infrared ◽  
Objective Assessment ◽  
Image Databases ◽  
Medical Purpose ◽  
Visual Interpretation ◽  
Vein Pattern ◽  
Image Processing Techniques ◽  
Laplacian Filter ◽  
Palm Vein ◽  
Processing Techniques

<span lang="EN-US">Detection of palm vein pattern through image processing techniques is an open problem as performance of each technique is closely related to the sample image gathered for the processing. The detected palm vein pattern is useful for further analysis in biometrics application and medical purpose. This paper aims to investigate the application of Laplacian filter and Frangi-based filter in detecting vein pattern contained in a near infrared illuminated palm image. Both filtering techniques are applied independently to two palm image databases to compare their performance in translating vein pattern in the image visually. Through empirical study, it is observed that Laplacian filter can translate the vein pattern in the image effectively. But pre-processings involved before the application of Laplacian filter need to be performed to accurately translate the vein pattern. The implementation of Frangi-based filter, while simplifying the detection process without the need of extra pre-processing, resulted in only certain vein pattern detected. Using pixel-by-pixel objective assessment, the rate for Laplacian filter in detecting vein pattern are generally more than 85% compared to Frangi-based filter; where it ranges from 60% to 100%.</span>

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