An Instrument of Palm Vein Pattern Recognition

2013 ◽  
Vol 333-335 ◽  
pp. 1092-1095
Author(s):  
Wei Wu ◽  
Wei Qi Yuan ◽  
Sen Lin
Keyword(s):  
Pattern Recognition ◽  
Blood Vessel ◽  
Recognition Algorithm ◽  
Acceptable Level ◽  
Two Dimensional ◽  
Fisher Linear Discriminant ◽  
Vein Pattern ◽  
Linear Discriminant ◽  
Vein Recognition ◽  
Palm Vein

Palm vein pattern recognition is one of the newest biometric techniques researched today. This paper presents a palm vein recognition instrument that uses blood vessel patterns as a personal identifying factor. The instrument uses the recognition algorithm of two dimensional Fisher linear discriminant for classification. The experiment has been done in a self-build palm vein database. Experimental results show that the designed instrument achieves an acceptable level of performance.

A Study of Two Dimensional Fisher Linear Discriminant for Palm Vein Recognition

2013 ◽  
Vol 760-762 ◽  
pp. 1410-1413
Author(s):  
Wei Wu
Keyword(s):  
Light Scattering ◽  
Euclidean Distance ◽  
Projection Matrix ◽  
The Other ◽  
Two Dimensional ◽  
Identification Performance ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant ◽  
Vein Recognition ◽  
Palm Vein

Palm vein is covered with skin, some captured NIR palm vein images are not clear because of light scattering in the skin. The identification performance is not high by extraction palm vein feature directly. This paper proposes project the palm vein image matrix based on two dimensional Fisher linear discriminant 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. Firstly, this paper tests the proposed method by different component numbers, then compares the identification performance with the other typical palm vein recognition methods.

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.

2D Image Matrix-Based Discriminator

2006 ◽  
pp. 258-286
Author(s):  
David Zhang ◽  
Xiao-Yuan Jing ◽  
Jian Yang
Keyword(s):  
Principal Component Analysis ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Two Dimensional ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant ◽  
Image Projection ◽  
Projection Techniques

This chapter presents two straightforward image projection techniques — two-dimensional (2D) image matrix-based principal component analysis (IMPCA, 2DPCA) and 2D image matrix-based Fisher linear discriminant analysis (IMLDA, 2DLDA). After a brief introduction, we first introduce IMPCA. Then IMLDA technology is given. As a result, we summarize some useful conclusions.

Research on Applied Technology of Palmprint Recognition Based on Fisher Linear Discriminant and Improved PCA Algorithm

2014 ◽  
Vol 886 ◽  
pp. 515-518
Author(s):  
Jing Wen Li
Keyword(s):  
Feature Extraction ◽  
Recognition Rate ◽  
Recognition Algorithm ◽  
Critical Conditions ◽  
Palmprint Recognition ◽  
Fisher Linear Discriminant ◽  
Linear Discriminant ◽  
Biometric Technology ◽  
Applied Technology ◽  
Pca Algorithm

The information applied technology of palmprint recognition is a biometric technology, it’s based on the effective information on the palm (such as: palmprint) to identifies people. The palmprint is unique and characteristic, these are the identification of critical conditions. The feature extraction of palmprint image is a prerequisite for recognition, feature extraction algorithm depends on the quality of the recognition rate and efficiency. This paper presents a method of palmprint recognition algorithm based on Fisher linear discriminant analysis and improved PCA algorithm. The experimental results show that, the recognition rate is improved.

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.

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