Dorsal hand vein pattern feature extraction with wavelet transforms

2014 ◽  
Author(s):  
Lefki Redhouane ◽  
Benziane Sarah ◽  
Benyettou Abdelkader
Keyword(s):  
Feature Extraction ◽  
Wavelet Transforms ◽  
Vein Pattern ◽  
Dorsal Hand ◽  
Hand Vein ◽  
Dorsal Hand Vein

scholarly journals MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN

2018 ◽  
Vol 11 (2) ◽  
pp. 95 ◽  
Author(s):  
Fransisca J Pontoh ◽  
Jayanti Yusmah Sari ◽  
Amil A Ilham ◽  
Ingrid Nurtanio
Keyword(s):  
Feature Extraction ◽  
Low Cost ◽  
Experimental Result ◽  
Person Identification ◽  
Feature Extraction Method ◽  
Dorsal Hand ◽  
Hand Vein ◽  
Vein Recognition ◽  
Dorsal Hand Vein ◽  
Dorsal Hand Vein Recognition

Nowadays, dorsal hand vein recognition is one of the most recent multispectral biometrics technologies used for the person identification/authentication. Looking into another biometrics system, dorsal hand vein biometrics system has been popular because of the privilege: false duplicity, hygienic, static, and convenient. The most challenging phase in a biometric system is feature extraction phase. In this research, feature extraction method called Local Line Binary Pattern (LLBP) has been explored and implemented. We have used this method to our 300 dorsal hand vein images obtained from 50 persons using a low-cost infrared webcam. In recognition step, the adaptation fuzzy k-NN classifier is to evaluate the efficiency of the proposed approach is feasible and effective for dorsal hand vein recognition. The experimental result showed that LLBP method is reliable for feature extraction on dorsal hand vein recognition with a recognition accuracy up to 98%.

scholarly journals Feature Extraction Of Dorsal Hand Vein For Authentication System

2015 ◽  
Author(s):  
S. Karthika Rajaratna ◽  
P. Keerthana ◽  
S. Laxmi Priya
Keyword(s):  
Feature Extraction ◽  
Dorsal Hand ◽  
Hand Vein ◽  
Authentication System ◽  
Dorsal Hand Vein
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