title: Obscenity detection using haar-like features and Gentle Adaboost classifier.
abstract: Large exposure of skin area of an image is considered obscene. This only fact may lead to many false images having skin-like objects and may not detect those images which have partially exposed skin area but have exposed erotogenic human body parts. This paper presents a novel method for detecting nipples from pornographic image contents. Nipple is considered as an erotogenic organ to identify pornographic contents from images. In this research Gentle Adaboost (GAB) haar-cascade classifier and haar-like features used for ensuring detection accuracy. Skin filter prior to detection made the system more robust. The experiment showed that, considering accuracy, haar-cascade classifier performs well, but in order to satisfy detection time, train-cascade classifier is suitable. To validate the results, we used 1198 positive samples containing nipple objects and 1995 negative images. The detection rates for haar-cascade and train-cascade classifiers are 0.9875 and 0.8429, respectively. The detection time for haar-cascade is 0.162 seconds and is 0.127 seconds for train-cascade classifier.
authors.affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China ; University of Chinese Academy of Sciences, Beijing 100049, China ; Department of Computer Science and Engineering, University of Chittagong, Chittagong 4331, Bangladesh.
authors.forename: Rashed
authors.identifier: 0000-0001-5123-194X
authors.initials: R
authors.lastname: Mustafa
authors.affiliation: Department of Computer Science, The University of Hong Kong, Hong Kong 999077, Hong Kong.
authors.forename: Yang
authors.initials: Y
authors.lastname: Min
authors.affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China ; University of Chinese Academy of Sciences, Beijing 100049, China ; School of Computer Science, South China Normal University, Guangzhou 510631, China.
authors.forename: Dingju
authors.initials: D
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D004882:Erotica; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012680:Sensitivity and Specificity