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In this paper, a four-phase anti-pornography system based on the neural and Bayesian methods of artificial intelligence is proposed. Primitive information on pornography is examined and then used to determine if a given image falls under the pornography category. First, we present a detailed description of preliminary study phase followed by the modeling phase for the proposed skin detector. An anti-pornography system is created in the development phase, which also includes the proposed pornography classifier based on skin detection. Finally, the performance assessment method for the proposed anti-pornography system is discussed in the evaluation phase.<\/jats:p>","DOI":"10.1142\/s0218001414590010","type":"journal-article","created":{"date-parts":[[2013,10,30]],"date-time":"2013-10-30T03:06:54Z","timestamp":1383102414000},"page":"1459001","source":"Crossref","is-referenced-by-count":12,"title":["A FOUR-PHASES METHODOLOGY TO PROPOSE ANTI-PORNOGRAPHY SYSTEM BASED ON NEURAL AND BAYESIAN METHODS OF ARTIFICIAL INTELLIGENCE"],"prefix":"10.1142","volume":"28","author":[{"given":"A. 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