scholarly journals Zernike moment invariants for hand vein pattern description from raw biometric data

2019 ◽  
Vol 28 (05) ◽  
pp. 1
Author(s):  
Raúl Castro-Ortega ◽  
Carina Toxqui-Quitl ◽  
Alfonso Padilla-Vivanco ◽  
Jose Francisco Solís-Villarreal ◽  
Eber Enrique Orozco-Guillén
Keyword(s):  
Zernike Moment ◽  
Moment Invariants ◽  
Biometric Data ◽  
Vein Pattern ◽  
Hand Vein ◽  
Pattern Description

Parallel sub-neural network system for hand vein pattern recognition

2011 ◽  
Vol 9 (5) ◽  
pp. 051002-51005
Author(s):  
袁雪 Xue Yuan ◽  
宋永端 Yongduan Song ◽  
魏学业 Xueye Wei
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Network System ◽  
Vein Pattern ◽  
Hand Vein ◽  
Neural Network System

Local SIFT analysis for hand vein pattern verification

2009 ◽  
Author(s):  
Yunxin Wang ◽  
Dayong Wang ◽  
Tiegen Liu ◽  
Xiuyan Li
Keyword(s):  
Vein Pattern ◽  
Hand Vein

Biometric Recognition System Based on Hand Vein Pattern

2009 ◽  
Vol 29 (12) ◽  
pp. 3339-3343 ◽  
Author(s):  
刘铁根 Liu Tiegen ◽  
王云新 Wang Yunxin ◽  
李秀艳 Li Xiuyan Jiang ◽  
江俊峰 Junfeng ◽  
周苏晋 Zhou Sujin
Keyword(s):  
Recognition System ◽  
Biometric Recognition ◽  
Vein Pattern ◽  
Hand Vein

Color Face Recognition Based on Quaternion Zernike Moment Invariants and Quaternion BP Neural Network

2013 ◽  
Vol 446-447 ◽  
pp. 1034-1039 ◽  
Author(s):  
Bei Jing Chen ◽  
Hua Zhong Shu ◽  
Gang Chen ◽  
Jun Ge
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Bp Neural Network ◽  
Recognition Rate ◽  
Zernike Moment ◽  
Moment Invariants ◽  
Intensity Information ◽  
Active Research ◽  
Facial Images ◽  
Color Face Recognition

As an active research topic, many algorithms have been presented for face recognition. However, they mainly utilize the monochromatic intensity information. Among a few color face recognition methods, most of them treat the three channels separately. In this paper, a color face image is treated in a holistic manner by using the quaternion theory. We then propose a new algorithm for color face recognition, which uses the quaternion Zernike moment invariants and the quaternion BP neural network for the color face recognition. Experimental results on the Collection of Facial Images (Grimace) database, including major expression variation and considerable variation in head turn and tilt, show that the proposed method is better than the conventional ones in recognition rate.

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