Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Digital Image Processing in Java
Digital Image Processing in Java
Face recognition from a single image per person: A survey
Pattern Recognition
Training a Support Vector Machine in the Primal
Neural Computation
Journal of Cognitive Neuroscience
Fast Asymmetric Learning for Cascade Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
A Support Vector Machines Approach for Efficient Facial Expression Recognition
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
Facial affect recognition using regularized discriminant analysis-based algorithms
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
A new classifier for facial expression recognition: fuzzy buried Markov model
Journal of Computer Science and Technology
Recognition of Arabic (Indian) bank check digits using log-gabor filters
Applied Intelligence
Illumination normalization of facial images by reversing the process of image formation
Machine Vision and Applications
Facial expression recognition using constructive feedforward neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Least-squares image resizing using finite differences
IEEE Transactions on Image Processing
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Boosting-SVM: effective learning with reduced data dimension
Applied Intelligence
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This study is focused on improving the recognition rate and processing time of facial recognition systems. First, the skin is detected by pixel based methods to reduce the searching space for maximum rejection classifier (MRC) which detects the face. The detected face is normalized by a discrete cosine transform (DCT) and down-sampled by Bessel transform. Gabor feature extraction techniques were utilized to extract thousands of facial features that represent facial deformation patterns. An AdaBoost-based hypothesis is formulated to select a few hundreds of Gabor features which are potential candidates for expression recognition. The selected features were fed into a saturated vector machine (SVM) classifier to train it. An average recognition rate of 97.57 % and 92.33 % are registered in JAFFE and Yale databases respectively. The execution time of the proposed method is also significantly lower than others. Generally, the proposed method exhibits superior performance than other methods.