@inproceedings{e2c248c46c1c434a906fd5383b2a1835,
title = "Adult image detection based on AdaBoost",
abstract = "In this paper, a method of detecting adult images based on AdaBoost was proposed. We focused on the detection of the adult images that have naked breasts or naked genitalia. By using basic and rotated Haar-like features extracted from the samples in the training set, we trained a cascade detector. The detector would classify the image whether to be a pornographic one or not. The results showed that this method achieved a high detection rate and a low false alarm rate.",
keywords = "AdaBoost, Adult image, Classification, Detection",
author = "Lijuan Duan and Zecheng Sun and Chunpeng Wu and Xuebin Wang and Zhen Yang and Jian Li",
year = "2012",
doi = "10.4028/www.scientific.net/AMR.562-564.1693",
language = "English",
isbn = "9783037854587",
series = "Advanced Materials Research",
pages = "1693--1696",
booktitle = "Materials Engineering and Automatic Control",
note = "2012 International Conference on Materials Engineering and Automatic Control, ICMEAC 2012 ; Conference date: 27-04-2012 Through 29-04-2012",
}