Gender Classification Based on Boosting Local Binary Pattern

@inproceedings{Sun2006GenderCB,
  title={Gender Classification Based on Boosting Local Binary Pattern},
  author={Ning Sun and Wenming Zheng and Changyin Sun and Cairong Zou and Lu Zhao},
  booktitle={ISNN},
  year={2006}
}
This paper presents a novel approach for gender classification by boosting local binary pattern-based classifiers. The face area is scanned with scalable small windows from which Local Binary Pattern (LBP) histograms are obtained to effectively express the local feature of a face image. The Chi square distance between corresponding Local Binary Pattern histograms of sample image and template is used to construct weak classifiers pool. Adaboost algorithm is applied to build the final strong… CONTINUE READING
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