Recognizing Adult Image Groups for Web Site Classification

The recognition accuracy of adult image groups depends on the performance of the adult image recognizer and the final decision rule. Earlier methods of recognizing adult image groups do not take into account the performance tuning of the adult image recognizer but only focus on the decision rule. The proposed method considers the two factors together and resolves optimal parameter settings to achieve the best recognition accuracy for image groups. Experimental results show that the proposed method can attain higher recognition accuracy than the earlier methods.