Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Face Verification System on a Cell-Phone Using Advanced Correlation Filters
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Correlation Pattern Recognition
Correlation Pattern Recognition
Incremental updating of advanced correlation filters for biometric authentication systems
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
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A real time fully automatic face recognition method is reported in this paper, where a frequency domain correlation filter known as optimal trade off maximum average correlation height filter (OTMACH) is optimized for real time application. The modification is done in selecting the optimal parameters for filter based on feature selection of face images by principal component analysis. The features are then used to train generalized regression neural network. The test face image is captured by a webcam camera interfaced with a PC and the recognition result is demonstrated by go-no go signals. The OTMACH filter as modified, gives better recognition rate compared to others conventional correlation filters. The system accepts reasonable variations in expression, pose and illumination conditions of face images.