Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9582
Title: Hierarchical multiscale LBP for face and palmprint recognition
Authors: Guo, Z
Zhang, L 
Zhang, D 
Mou, X
Keywords: Face recognition
LBP
Multiscale
Palmprint recognition
Issue Date: 2010
Source: Proceedings - International Conference on Image Processing, ICIP, 2010, p. 4521-4524 How to cite?
Abstract: Local binary pattern (LBP), fast and simple for implementation, has shown its superiority in face and palmprint recognition. To extract representative features, "uniform" LBP was proposed and its effectiveness has been validated. However, all "non-uniform" patterns are clustered into one pattern, so a lot of useful information is lost. In this study, the authors propose to build a hierarchical multiscale LBP histogram for an image. The useful information of "non-uniform" patterns at large scale is dug out from its counterpart of small scale. The main advantage of the proposed scheme is that it can fully utilize LBP information while it does not need any training step, which may be sensitive to training samples. Experiments on one public face database and one palmprint database show the effectiveness of the proposed method.
Description: 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, 26-29 September 2010
URI: http://hdl.handle.net/10397/9582
ISBN: 9781424479948
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5653119
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