ear recognition  research papers
RESEARCH PAPERS

ear recognition  research papers




An automatic 3D ear recognition system
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ABSTRACT Previous works have shown that the ear is a good candidate for a human biometric. However, in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in the data, especially that caused by hair and 

A fully automatic approach for human recognition from profile images using 2D and 3D eardata
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ABSTRACT The use of ear shape as a biometric trait for recognizing people in different applications is one of the most recent trends in the research communities. In this work, a fully automatic and fast technique based on the AdaBoost algorithm is used to detect a 

Automatic Ear Recognition System using Back Propagation Neural Network.
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ABSTRACT This paper presents a new approach for automatic ear recognition system using energy-edge density feature and Back Propagation Neural Network (BPNN). Input ear image is decomposed into four subbands using Haar wavelet transform. Thereafter fused 

Ear recognition by using neural networks
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ABSTRACT Using ears in identifying people has been interesting at least 100 years. The researches still discuss if the ears are unique or unique enough to be used as biometrics. Ear shape applications are not commonly used, yet, but the area is interesting especially 

Ear Recognition using Dual Tree Complex Wavelet Transform
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ABSTRACT Since last 10 years, various methods have been used for ear recognition. This paper describes the automatic localization of an ear and it's segmentation from the side poses of face images. In this paper, authors have proposed a novel approach of feature 

A Survey on Ear Recognition
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ABSTRACT In the last decades, a lot of research effort has been made in the field of biometric recognition. More precisely, there are many experiments which are conducted in upcoming biometrics such as ears. Ear is one of the new comers in biometric recognition techniques 

Person recognition by the ear image using compressed artificial neural networks
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An artificial neural network model is used for recognizing a person based on the image of his ear. Specifically, an ear image is presented to multi-layers neural network during the training phase of the net. To achieve compression, the number of the neurons 

A connectionist approach to using outer ear images for human recognition and identification
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Traditional image-based approaches to personal identification have almost exclusively employed front views of the individual's face [5], occasionally complemented by profile views [4]. Here, profile images were primarily used to match a template to the profile curve (from 

A Robust Algorithm for Ear Recognition System Based on Self Organization Maps
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ABSTRACT This paper presents a robust algorithm for ear identification based on geometrical features of the ear and Kohnen Self Organization Maps (SOM). Using ears in identifying people has been interesting at least 100 years. The researches still discuss if the ears are 

The Research of Ear Recognition Based on Gabor Wavelets and Support Vector Machine Classi?cation
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ABSTRACT This study proposed a novel framework for ear recognition based on Gabor wavelets and Support Vector Machine (SVM). The framework has three steps. In the first step, the ear is detected from an image of the face. In the second step, Gabor wavelets are 

Ear Recognition Strategies
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SL Allen ,parasol.tamu.edu ABSTRACT Biometrics is currently a heavily researched area in identifying persons based on characteristics that they possess. Biometric systems are commonly used for identity access management and access control. Biometrics is defined as the science and 

Ear Recognition and Occlusion
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BS El-Desoky, MZ Rashad, MM Eid, M El-Kady ,International Journal of ABSTRACT Personal identification using 2D ear images still has many problems such as occlusion mostly caused by hair, earrings, and clothes. To avoid this problem, we propose to divide the ear image into non-overlapping equal divisions and identify persons through 

Fusion of Ear and Soft-biometrics for Recognition of Newborn
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ABSTRACT Recognition of newborn after birth is a critical issue for hospitals, maternity word and other places where multiple birthstake place. Switching and abduction of newborn is a global challenge and research done to meet this challenge is minimal. Most of the 

A Review Paper on Ear Recognition Techniques: Models, Algorithms and Methods
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ABSTRACT The ear recognition techniques in image processing become a key issue in ear identification and analysis for many geometric applications. This paper first reviews the source of ear image identification, compares the different applied models being currently 

3D Ear Recognition Using SIFT Keypoint Matching
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ABSTRACT In this paper, we present a novel algorithm for 3D ear recognition. The basic idea is to rotate each 3D point cloud representing an individual's ear around the x, y or z axes, respectively generating multiple 2.5 D images at each step of the rotation. Then we use 

A Unified Approach to 3D Face and Ear Recognition
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ABSTRACT We present an algorithm for detecting facial landmarks on 2.5-D scans with the use of Point Distribution Models (PDMs) that eliminates the need of prior knowledge of orientation and pose of the scans and that relaxes the constraints on feature map 


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