Multimodal Feature Learning for Gait Biometric Based Human Identity Recognition

2013 ◽  
pp. 721-728 ◽  
Author(s):  
Emdad Hossain ◽  
Girija Chetty
Keyword(s):  
Feature Learning ◽  
Human Identity ◽  
Identity Recognition

Bezier Cohort Fusion in Doubling States for Human Identity Recognition with Multifaceted Constrained Faces

2018 ◽  
Vol 44 (4) ◽  
pp. 3271-3287
Author(s):  
Jogendra Garain ◽  
Soumya Ranjan Mishra ◽  
Ravi Kant Kumar ◽  
Dakshina Ranjan Kisku ◽  
Goutam Sanyal
Keyword(s):  
Human Identity ◽  
Identity Recognition

Human Identity Recognition Using Ear Lobes Geometric Features

2016 ◽  
Author(s):  
Syed Adnan Ahmer ◽  
◽  
Payal Lohi
Keyword(s):  
Geometric Features ◽  
Human Identity ◽  
Identity Recognition

scholarly journals Identity Recognition Algorithm Based on Static Gait Geometrical and Pressure Data

2018 ◽  
Vol 173 ◽  
pp. 03038
Author(s):  
Kun Wang ◽  
Yiwu Qian ◽  
Jinmo Wu ◽  
Xiaoyong Liu
Keyword(s):  
Gait Recognition ◽  
Recognition Algorithm ◽  
Pressure Data ◽  
Pattern Recognition Technique ◽  
Human Identity ◽  
Identity Recognition ◽  
Human Foot ◽  
Combined Features ◽  
Field Static ◽  
Recognition Technique

Currently, pattern recognition technique is widely applied in human identity recognition while there are shortages remaining in most kinds of such techniques. In order to overcome these problems, a novel algorithm is proposed to apply in identity recognition course in new field-static gait recognition field. Two combined features are going for static gait recognition: the distance between each part of center pressure and overall foot and the side length of outline triangle of human foot. Then through the comparison of different classifier, the best course for recognition can be obtained.

Multiview gait biometrics for human identity recognition

2014 ◽  
Author(s):  
Girija Chetty ◽  
Prasad Yarlagadda ◽  
Vamsi Madasu ◽  
Anurag Mishra
Keyword(s):  
Human Identity ◽  
Identity Recognition ◽  
Gait Biometrics
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