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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Sun, Q., Huang, X., Guan, X., Gao, P. (2006). An Erotic Image Recognition Algorithm Based on Trunk Model and SVM Classification. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_51
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DOI: https://doi.org/10.1007/11760191_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34482-7
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