Digital image processing
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Vision: From Images to Face Recognition
Dynamic Vision: From Images to Face Recognition
Digital Image Processing
Adaptive Quantization of Color Space for Recognition of Finished Wooden Components
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Color Spaces for Inspection of Natural Objects
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
A Comparison of Gabor Filter Methods for Automatic Detection of Facial Landmarks
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Color space projection, feature fusion and concurrent neural modules for biometric image recognition
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Color face recognition for degraded face images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ICA color space for pattern recognition
IEEE Transactions on Neural Networks
Face recognition using new image representations
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Color face recognition based on quaternion matrix representation
Pattern Recognition Letters
Extracting discriminative color features for face recognition
Pattern Recognition Letters
A target-based color space for sea target detection
Applied Intelligence
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This paper concerns the conversion of color images to monochromatic form for the purpose of human face recognition. Many face recognition systems operate using monochromatic information alone even when color images are available. In such cases, simple color transformations are commonly used that are not optimal for the face recognition task. We present a framework for selecting the transformation from face imagery using one of three methods: Karhunen-Loéve analysis, linear regression of color distribution, and a genetic algorithm. Experimental results are presented for both the well-known eigenface method and for extraction of Gabor-based face features to demonstrate the potential for improved overall system performance. Using a database of 280 images, our experiments using these methods resulted in performance improvements of approximately 4% to 14%.