Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary Pursuit and Its Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using the Discrete Cosine Transform
International Journal of Computer Vision - Special issue: Research at McGill University
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of convolutional neural networks for visual recognition
IEEE Transactions on Neural Networks
Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
Pose Invariant Face Recognition Based on Hybrid Dominant Frequency Features
IEICE - Transactions on Information and Systems
A sub-block-based eigenphases algorithm with optimum sub-block size
Knowledge-Based Systems
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Security is becoming one of the main human concerns nowadays. The need for an identity that cannot be destroyed, forgotten or stolen is greatly recommended in a world that is directed more and more toward automation. Hence, Biometrics is taking an important role in personal identification systems. A technique for automatic face recognition based on 2D Discrete Cosine Transform (2D-DCT) together with Principal Component Analysis (PCA) is suggested and tested. The achieved recognition rate varied according to the chosen threshold based on the security level of the application. The best achieved recognition result is 96.5%.