@inproceedings{52deccd1a88a4024acaf0b7d32ec41c0,
title = "Face recognition using independent gabor wavelet features",
abstract = "We introduce in this paper a novel Independent Gabor wavelet Features (IGF) method for face recognition. The IGF method derives first an augmented Gabor feature vector based upon the Gabor wavelet transformation of face images and using different orientation and scale local features. Independent Component Analysis (ICA) operates then on the Gabor feature vector subject to sensitivity analysis for the ICA transformation. Finally, the IGF method applies the Probabilistic Reasoning Model for classification by exploiting the independence properties between the feature components derived by the ICA. The feasibility of the new IGF method has been successfully tested on face recognition using 600 FERET frontal face images corresponding to 200 subjects whose facial expressions and lighting conditions may vary.",
author = "Chengjun Liu and Harry Wechsler",
year = "2001",
doi = "10.1007/3-540-45344-x_3",
language = "English (US)",
isbn = "3540422161",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "20--25",
booktitle = "Audio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings",
address = "Germany",
note = "3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001 ; Conference date: 06-06-2001 Through 08-06-2001",
}