As a new biometric identification technology, the theory and application research of ear recognition has attracted more and more attention of scholars in recent years. Image-preprocessing and normalization of ear image is very important for the feature extraction. In this paper we apply the improved morphological filtering method to preprocessing the ear image. And we propose the angle normalization method by geometrical parameters. This method has the advantages of scaling invariance, translation invariance and rotation invariance. The normalization results are reasonable and good for later feature extraction
Extraction and expression of features are critical to improving the recognition rate of ear image re...
Abstract — Biometric systems have been implemented on numerous public facilities that are able to en...
This paper presents an ear biometric approach to classify humans. Accordingly an improved local feat...
AbstractThe biometrics recognition has been paid more attention by people with the advancement of te...
Ear recognition system has recently become a focus in the biometric field, owning to the rich and st...
Unconstrained ear biometric means an ear image that has variance in view and pose. This situation is...
AbstractBiometric authentication using ear images becoming popular nowadays in the field of security...
Ear recognition system has recently become a focus in the biometric field, owning to the rich and st...
Biometric verification based on ear features is modern filed for scientific research. As known, ther...
Biometrics identification methods proved to be very efficient, more natural and easy for users than ...
In this paper, a method to recognize human using ear biometrics has been proposed. Traditional image...
The rate at which ear recognition system is been explored by computer vision authors and its accepta...
In this paper, a new method to represent human ear for biometrics purposes is introduced. Even if ea...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Generally, it is observed that face is the most feature dense region in human body. The natural way ...
Extraction and expression of features are critical to improving the recognition rate of ear image re...
Abstract — Biometric systems have been implemented on numerous public facilities that are able to en...
This paper presents an ear biometric approach to classify humans. Accordingly an improved local feat...
AbstractThe biometrics recognition has been paid more attention by people with the advancement of te...
Ear recognition system has recently become a focus in the biometric field, owning to the rich and st...
Unconstrained ear biometric means an ear image that has variance in view and pose. This situation is...
AbstractBiometric authentication using ear images becoming popular nowadays in the field of security...
Ear recognition system has recently become a focus in the biometric field, owning to the rich and st...
Biometric verification based on ear features is modern filed for scientific research. As known, ther...
Biometrics identification methods proved to be very efficient, more natural and easy for users than ...
In this paper, a method to recognize human using ear biometrics has been proposed. Traditional image...
The rate at which ear recognition system is been explored by computer vision authors and its accepta...
In this paper, a new method to represent human ear for biometrics purposes is introduced. Even if ea...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Generally, it is observed that face is the most feature dense region in human body. The natural way ...
Extraction and expression of features are critical to improving the recognition rate of ear image re...
Abstract — Biometric systems have been implemented on numerous public facilities that are able to en...
This paper presents an ear biometric approach to classify humans. Accordingly an improved local feat...