@inproceedings{17c6a1c039bf41e59c920a267b874015,
title = "Parallel adaboost algorithm for gabor wavelet selection in face recognition",
abstract = "In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorporating mutual information into the algorithm leads to the selection procedure not only based on classification accuracy but also on efficiency. Effective image features are selected by using properly chosen Gabor wavelets optimised with Parallel AdaBoost method and mutual information to get high recognition rates with low computational cost. Experiments are conducted using the well-known FERET face database. In proposed framework, memory and computation costs are reduced significantly and high classification accuracy is obtained.",
keywords = "Classification, Face recognition, Feature selection, Gabor wavelets, Parallel AdaBoost",
author = "Ula{\c s} Baǧci and Li Bai",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 2008 IEEE International Conference on Image Processing, ICIP 2008 ; Conference date: 12-10-2008 Through 15-10-2008",
year = "2008",
doi = "10.1109/ICIP.2008.4712086",
language = "English (US)",
isbn = "1424417643",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1640--1643",
booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",
}