Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
An Efficient Face Recognition System Using a New Optimized Localization Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Journal of Cognitive Neuroscience
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
Face Localization in 2D Frontal Face Images Using Luminosity Profiles Analysis
Multimodal Signals: Cognitive and Algorithmic Issues
Protecting DCT Templates for a Face Verification System by Means of Pseudo-random Permutations
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Face Verification Based on DCT Templates with Pseudo-Random Permutations
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
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Face recognition represents one of the most interesting modalities of biometric. Due to his low intrusiveness and to the constant decrease in image acquisition cost, it's particularly suitable for a wide number of real time applications. In this paper we propose a very fast image pre-processing by the introduction of a linearly shaded elliptical mask centered over the faces. Used in association with DCT, for features extraction, and MPL and RBF Neural Networks, for classification, it allows an improvement of system performances without modifying the global computation weight and also a learning time reduction for MLP neural networks.