Floating search methods in feature selection
Pattern Recognition Letters
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Acoustic Ear Recognition for Person Identification
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Symmetrical null space LDA for face and ear recognition
Neurocomputing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Recognition Using 3D Ear Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Sparse Representation for Ear Biometrics
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Towards fast 3D ear recognition for real-life biometric applications
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Force field feature extraction for ear biometrics
Computer Vision and Image Understanding
On shape-mediated enrolment in ear biometrics
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Shape and structural feature based ear recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Ear recognition based on local information fusion
Pattern Recognition Letters
Image security and biometrics: a review
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
Ears are a new biometric with a major advantage in that they appear to maintain their structure with increasing age. Current approaches have exploited 2D and 3D images of the ear in human identification. Contending that the ear is mainly a planar shape we use 2D images, which are consistent with deployment in surveillance and other planar-image scenarios. So far ear biometric approaches have mostly capitalized on general properties and overall appearance of ear images, and the details of the ear structure have been little discussed. Using the embryological studies of the ear development, which reveal a component-wise structure for the ear, we propose a new model-based approach. Our model is a part-wise description of the ear derived by a stochastic clustering on a set of scale invariant features of a training set. We further extend our model description, by a wavelet-based analysis with a specific aim of capturing information in the ear's boundary structures, which can augment discriminant variability. In recognition, ears are automatically enroled and then recognized via the parts selected by the model. The incorporation of the wavelet-based analysis of the outer ear structures forms an extended or hybrid method. By results, both in modelling and recognition, our new model-based approach does indeed appear to be a promising new approach to ear biometrics. Recognizing the occlusion by hair as one of the main obstacles hindering the deployment of ear biometrics, we have specifically chosen our techniques to provide performance advantages in occlusion. We shall present a thorough evaluation of performance in occlusion, using a robust PCA for comparison purposes. Our new hybrid method does indeed appear to be a promising new approach to ear biometrics, by guiding a model-based analysis via anatomical knowledge.