Add to ORKGAbstract: Ear segmentation is considered as the first step of all ear biometrics systems while the objective in separating the ear from its surrounding backgrounds is to improve the capability of automatic systems used for ear recognition. To meet this objective in the context of ear biometrics a new automatic algorithm based on topographic labels is presented here. The proposed algorithm contains four stages. First we extract topographic labels from the ear image. Then using the map of regions for three topographic labels namely, ridge, convex hill and convex saddle hill we build a composed set of labels. The thresholding on this labelled image provides a connected component with the maximum number of pixels which represents the outer boun...
This paper proposes an efficient skin-color and template based technique for automatic ear detection...
The outer ear is an emerging biometric trait that has drawn the attention of the research community ...
This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. A...
The rate at which ear recognition system is been explored by computer vision authors and its accepta...
Abstract—Previous works have shown that the ear is a promising candidate for biometric identificatio...
This paper presents an ear biometric approach to classify humans. Accordingly an improved local feat...
Previous works have shown that the ear is a good candidate for a human biometric. However, in prior ...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Abstract — Biometrics identification methods have proved to be very efficient, more natural and easy...
Abstract: Ear is a new class of relatively stable biometrics which is not affected by facial express...
The use of ear information for people identification has been under testing at least for 100 years. ...
Ear biometrics has been found to be a good and reliable technique for human recognition. With the in...
Ear recognition is a promising biometric measure, especially with the growing interest in multi-moda...
A number of researchers have shown that ear recognition is a viable alternative to more common biome...
In recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, com...
This paper proposes an efficient skin-color and template based technique for automatic ear detection...
The outer ear is an emerging biometric trait that has drawn the attention of the research community ...
This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. A...
The rate at which ear recognition system is been explored by computer vision authors and its accepta...
Abstract—Previous works have shown that the ear is a promising candidate for biometric identificatio...
This paper presents an ear biometric approach to classify humans. Accordingly an improved local feat...
Previous works have shown that the ear is a good candidate for a human biometric. However, in prior ...
This paper investigates a new approach for the automated human identification using 2D ear imaging. ...
Abstract — Biometrics identification methods have proved to be very efficient, more natural and easy...
Abstract: Ear is a new class of relatively stable biometrics which is not affected by facial express...
The use of ear information for people identification has been under testing at least for 100 years. ...
Ear biometrics has been found to be a good and reliable technique for human recognition. With the in...
Ear recognition is a promising biometric measure, especially with the growing interest in multi-moda...
A number of researchers have shown that ear recognition is a viable alternative to more common biome...
In recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, com...
This paper proposes an efficient skin-color and template based technique for automatic ear detection...
The outer ear is an emerging biometric trait that has drawn the attention of the research community ...
This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. A...
