Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Evaluation of Advanced Ear Biometrics
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Feature Extraction Methods for Ear Biometrics--A Survey
CISIM '07 Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications
Biometric Recognition Using 3D Ear Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward unconstrained ear recognition from two-dimensional images
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Shaped wavelets for curvilinear structures for ear biometrics
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
On guided model-based analysis for ear biometrics
Computer Vision and Image Understanding
Efficient Detection and Recognition of 3D Ears
International Journal of Computer Vision
The image ray transform for structural feature detection
Pattern Recognition Letters
Automated human identification using ear imaging
Pattern Recognition
An efficient ear localization technique
Image and Vision Computing
Reliable ear identification using 2-D quadrature filters
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Robust ear based authentication using Local Principal Independent Components
Expert Systems with Applications: An International Journal
Entropy based Binary Particle Swarm Optimization and classification for ear detection
Engineering Applications of Artificial Intelligence
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Ears are a new biometric with major advantage in that they appear to maintain their shape with increased age. Any automatic biometric system needs enrolment to extract the target area from the background. In ear biometrics the inputs are often human head profile images. Furthermore ear biometrics is concerned with the effects of partial occlusion mostly caused by hair and earrings. We propose an ear enrolment algorithm based on finding the elliptical shape of the ear using a Hough Transform (HT) accruing tolerance to noise and occlusion. Robustness is improved further by enforcing some prior knowledge. We assess our enrolment on two face profile datasets; as well as synthetic occlusion.