Classification of face images using local iterated function systems
Machine Vision and Applications
Orthogonal Quadratic Discriminant Functions for Face Recognition
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Theoretical analysis on feature extraction capability of class-augmented PCA
Pattern Recognition
IEEE Transactions on Neural Networks
Face recognition with facial mask application and neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A novel multi-stage classifier for face recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Recognition of JPEG compressed face images based on AdaBoost
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
An EDBoost algorithm towards robust face recognition in JPEG compressed domain
Image and Vision Computing
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Face recognition via direct search optimized Gabor filters
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
A parallel evolving algorithm for flexible neural tree
Parallel Computing
Weighted principal component extraction with genetic algorithms
Applied Soft Computing
Feature extraction using class-augmented principal component analysis (CA-PCA)
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Automatic decision method of effective transform coefficients for face recognition
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Radial basis function network for traffic scene classification in single image mode
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach
Fuzzy Sets and Systems
Real-time fault detection in manufacturing environments using face recognition techniques
Journal of Intelligent Manufacturing
MIMO Lyapunov theory-based RBF neural classifier for traffic sign recognition
Applied Computational Intelligence and Soft Computing - Special issue on Applied Neural Intelligence to Modeling, Control, and Management of Human Systems and Environments
Swarm optimization and Flexible Neural Tree for microarray data classification
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Face Recognition System using Discrete Cosine Transform combined with MLP and RBF Neural Networks
International Journal of Mobile Computing and Multimedia Communications
K-means clustering algorithm for multimedia applications with flexible HW/SW co-design
Journal of Systems Architecture: the EUROMICRO Journal
Hi-index | 0.00 |
In this paper, an efficient method for high-speed face recognition based on the discrete cosine transform (DCT), the Fisher's linear discriminant (FLD) and radial basis function (RBF) neural networks is presented. First, the dimensionality of the original face image is reduced by using the DCT and the large area illumination variations are alleviated by discarding the first few low-frequency DCT coefficients. Next, the truncated DCT coefficient vectors are clustered using the proposed clustering algorithm. This process makes the subsequent FLD more efficient. After implementing the FLD, the most discriminating and invariant facial features are maintained and the training samples are clustered well. As a consequence, further parameter estimation for the RBF neural networks is fulfilled easily which facilitates fast training in the RBF neural networks. Simulation results show that the proposed system achieves excellent performance with high training and recognition speed, high recognition rate as well as very good illumination robustness.