Acoustic Ear Recognition for Person Identification

2006 ◽  
Author(s):  
A.H.M. Akkermans ◽  
T.A.M. Kevenaar ◽  
D.W.E. Schobben
Keyword(s):  
Person Identification ◽  
Ear Recognition

Human Ear Pattern Recognition System

2017 ◽  
Vol 7 (8) ◽  
pp. 117 ◽  
Author(s):  
V. Jagan Naveen ◽  
K. Krishna Kishore ◽  
P. Rajesh Kumar
Keyword(s):  
Pattern Recognition ◽  
Expectation Maximization Algorithm ◽  
Recognition System ◽  
Modern World ◽  
Person Identification ◽  
Biometric Systems ◽  
Different Types ◽  
Recognition Systems ◽  
Human Ear ◽  
Pca Algorithm

In the modern world, human recognition systems play an important role to   improve security by reducing chances of evasion. Human ear is used for person identification .In the Empirical study on research on human ear, 10000 images are taken to find the uniqueness of the ear. Ear based system is one of the few biometric systems which can provides stable characteristics over the age. In this paper, ear images are taken from mathematical analysis of images (AMI) ear data base and the analysis is done on ear pattern recognition based on the Expectation maximization algorithm and k means algorithm.  Pattern of ears affected with different types of noises are recognized based on Principle component analysis (PCA) algorithm.

A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs

2021 ◽  
Vol 32 (1) ◽  
Author(s):  
Ibrahim Omara ◽  
Ahmed Hagag ◽  
Guangzhi Ma ◽  
Fathi E. Abd El-Samie ◽  
Enmin Song
Keyword(s):  
Mahalanobis Distance ◽  
Ear Recognition ◽  
Novel Approach ◽  
Recognition Learning
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