An erotic image recognition algorithm based on trunk model and SVM classification

Authors:
Qindong Sun;Xinbo Huang;Xiaohong Guan;Peng Gao
Affiliations:
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi, China;School of Electro-Mechanical Engineering, Xi’an University of Engineering Science & Technology, Xi’an, Shaanxi, China;School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China;School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Year:
2006

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Abstract

The characteristics of erotic images are analyzed in this paper and a novel algorithm for erotic images recognition is proposed. The algorithm first obtains the mask images of the recognized image by skin color detecting and texture analyzing, and then locates the possible position of human trunk in mask image according to the established model of trunk, based on which the characteristics of erotic images are extracted. Furthermore, the SVM classifier is used to recognize the erotic images based on those extracted characteristics. The experimental results show that the recognition accuracy rate of the proposed algorithm is higher than other algorithms and the proposed algorithm is efficient and effective.