Palm vein recognition system based on multi-block statistical features encoding by phase response information of nonsubsampled contourlet transform

2020 ◽  
Vol 19 (5) ◽  
pp. 500
Author(s):  
Amira Oueslati ◽  
Nadia Feddaoui ◽  
Kamel Hamrouni ◽  
Safya Belghith
Keyword(s):  
Recognition System ◽  
Phase Response ◽  
Contourlet Transform ◽  
Statistical Features ◽  
Nonsubsampled Contourlet Transform ◽  
Response Information ◽  
Vein Recognition ◽  
Palm Vein

Design and implementation of a contactless palm vein recognition system

2010 ◽  
Author(s):  
Goh Kah Ong Michael ◽  
Tee Connie ◽  
Lau Siong Hoe ◽  
Andrew Teoh Beng Jin
Keyword(s):  
Recognition System ◽  
Design And Implementation ◽  
Vein Recognition ◽  
Palm Vein

A Contactless Palm Vein Recognition System Based on Principle Line SIFT

2013 ◽  
Vol 347-350 ◽  
pp. 3469-3472 ◽  
Author(s):  
Wei Wu ◽  
Sen Lin ◽  
Hui Song
Keyword(s):  
Traditional Method ◽  
Recognition System ◽  
Scale Invariant ◽  
Limited Effect ◽  
Image Deformation ◽  
Invariant Feature ◽  
Feature Transform ◽  
Vein Recognition ◽  
Palm Vein ◽  
Scale Invariant Feature

Compared with the traditional method of contact collection, contactless acquisition is the mainstream and trend of palm vein recognition. However, this method may lead to image deformation caused by no parallel of the palm plane and the sensor plane. In order to improve the limited effect of Scale Invariant Feature Transform (SIFT) about this problem, a better method of palm vein recognition which based on principle line SIFT is proposed. Based on the self-built database, this method is compared with the SIFT and other typical palm vein recognition methods, the experimental results show that our system can achieve the best performance.

A Palm Vein Recognition System based on a Support Vector Machine

2019 ◽  
Vol 8 (1) ◽  
pp. 1-7
Author(s):  
Vijayakumar Ponnusamy ◽  
Abhijit Sridhar ◽  
Arun Baalaaji ◽  
M. Sangeetha
Keyword(s):  
Support Vector Machine ◽  
Recognition System ◽  
Support Vector ◽  
Vein Recognition ◽  
Palm Vein

An extensive survey on finger and palm vein recognition system

2020 ◽  
Author(s):  
Rama Vasantha Adiraju ◽  
Kranthi Kumar Masanipalli ◽  
Tamalampudi Deepak Reddy ◽  
Rohini Pedapalli ◽  
Sindhu Chundru ◽  
...  
Keyword(s):  
Recognition System ◽  
Extensive Survey ◽  
Vein Recognition ◽  
Palm Vein

Palm Vein Recognition Algorithm Using Curvelet and Wavelet

2013 ◽  
Vol 710 ◽  
pp. 655-659
Author(s):  
Zhi Xian Jiu ◽  
Qiang Li
Keyword(s):  
Wavelet Transform ◽  
Error Rate ◽  
Minimum Distance ◽  
Image Database ◽  
Recognition System ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Equal Error Rate ◽  
Vein Recognition ◽  
Palm Vein

In this paper we report on a curvelet and wavelet based palm vein recognition algorithm. Using our palm vein image database, we employed minimum distance classifier to test the performance of the system. Experimental results show that the algorithm based on cuvelet transform can reach equal error rate of 1.7%, and the algorithm based on wavelet transform can only reach equal error rate of 2.3%, indicating that the curvelet based palm vein recognition system improves representation.

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