On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extending the Feature Vector for Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
An improved face recognition technique based on modular PCA approach
Pattern Recognition Letters
A Multibit Geometrically Robust Image Watermark Based on Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Learning Patch Dependencies for Improved Pose Mismatched Face Verification
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Patch-Based Gabor Fisher Classifier for Face Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gestalt-based feature similarity measure in trademark database
Pattern Recognition
Face recognition from a single image per person: A survey
Pattern Recognition
Weighted Sub-Gabor for face recognition
Pattern Recognition Letters
On the computational aspects of Zernike moments
Image and Vision Computing
Journal of Cognitive Neuroscience
Robust visual similarity retrieval in single model face databases
Pattern Recognition
Aircraft identification by moment invariants
IEEE Transactions on Computers
Image Normalization by Complex Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal authenticator on the basis of two-factors: palmprint features and tokenized random data
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
IEEE Transactions on Neural Networks
Recognition of expression variant faces from one sample image per enrolled subject
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Recognition of partially occluded and rotated images with a network of spiking neurons
IEEE Transactions on Neural Networks
Recognizing partially occluded faces from a single sample per class using string-based matching
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Detection and matching of curvilinear structures
Pattern Recognition
2.5D face recognition using Patch Geodesic Moments
Pattern Recognition
Adaptive discriminant learning for face recognition
Pattern Recognition
Local maximal margin discriminant embedding for face recognition
Journal of Visual Communication and Image Representation
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Though numerous approaches have been proposed for face recognition, little attention is given to the moment-based face recognition techniques. In this paper we propose a novel face recognition approach based on adaptively weighted patch pseudo Zernike moment array (AWPPZMA) when only one exemplar image per person is available. In this approach, a face image is represented as an array of patch pseudo Zernike moments (PPZM) extracted from a partitioned face image containing moment information of local areas instead of global information of a face. An adaptively weighting scheme is used to assign proper weights to each PPZM to adjust the contribution of each local area of a face in terms of the quantity of identity information that a patch contains and the likelihood of a patch is occluded. An extensive experimental investigation is conducted using AR and Yale face databases covering face recognition under controlled/ideal conditions, different illumination conditions, different facial expressions and partial occlusion. The system performance is compared with the performance of four benchmark approaches. The encouraging experimental results demonstrate that moments can be used for face recognition and patch-based moment array provides a novel way for face representation and recognition in single model databases.