Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2009-07-18
IEEE International Conference on Image Processing (ICIP-08), San Diego, CA, U.S.A, 12-15 October, 2008
Computer Science
Computer Vision and Pattern Recognition
IEEE ICIP 2008 Submission
Scientific paper
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.
Bagci Ulas
Bai Lianfa
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