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The FERET Evaluation Methodology for Face-Recognition Algorithms
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Optimized Gabor Filter Based Feature Extraction for Character Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Optimal sampling of Gabor features for face recognition
Pattern Recognition Letters
Distance measures for PCA-based face recognition
Pattern Recognition Letters
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A review on Gabor wavelets for face recognition
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Face Detection using DT-CWT on SHPCA Space
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Weighted Sub-Gabor for face recognition
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Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Shift invariant properties of the dual-tree complex wavelet transform
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Simplified Gabor wavelets for human face recognition
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DT-CWT Feature Based Face Recognition Using Supervised Kernel ONPP
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Facial feature extraction using complex dual-tree wavelet transform
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IEEE Transactions on Signal Processing
The design of approximate Hilbert transform pairs of wavelet bases
IEEE Transactions on Signal Processing
Complex, linear-phase filters for efficient image coding
IEEE Transactions on Signal Processing
Hilbert transform pairs of biorthogonal wavelet bases
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IEEE Transactions on Image Processing
Face recognition by independent component analysis
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Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
The complete gabor-fisher classifier for robust face recognition
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ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
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Complex approximately analytic wavelets provide a local multiscale description of images with good directional selectivity and invariance to shifts and in-plane rotations. Similar to Gabor wavelets, they are insensitive to illumination variations and facial expression changes. The complex wavelet transform is, however, less redundant and computationally efficient. In this paper, we first construct complex approximately analytic wavelets in the single-tree context, which possess Gabor-like characteristics. We, then, investigate the recently developed dual-tree complex wavelet transform (DT-CWT) and the single-tree complex wavelet transform (ST-CWT) for the face recognition problem. Extensive experiments are carried out on standard databases. The resulting complex wavelet-based feature vectors are as discriminating as the Gabor wavelet-derived features and at the same time are of lower dimension when compared with that of Gabor wavelets. In all experiments, on two well-known databases, namely, FERET and ORL databases, complex wavelets equaled or surpassed the performance of Gabor wavelets in recognition rate when equal number of orientations and scales is used. These findings indicate that complex wavelets can provide a successful alternative to Gabor wavelets for face recognition.