Adult image classifiers based on face detection using Viola-Jones method

This research consists of a classification system to determine the adult and benign image. Adult image in this research was defined as image that is perceived as pornographic by Indonesian people. The method in this research combines face detection and HS skin color detection on an image. Face detection is done by using the Viola-Jones method. After face detection process, skin detection is performed on the image. Based on the results of face and skin detections, a set of features is extracted and inserted into the classifier. The classification used in determining adult or benign image will be based on the percentage of face area in the image, the position of face in the image, and the percentage of the skin color in the image. For each feature, the threshold value is defined in this research. The results of the classifier is whether an input image is benign or adult images. From 30 sample images, the classification process classifies 5 pieces of images as benign images and 25 images as adult images. False positive rate are 2 images and false negative rate is 1 image with the accuracy of 90%.

[1]  Johnson I. Agbinya,et al.  Automatic online porn detection and tracking. , 2005 .

[2]  Anang Budikarso,et al.  RANCANG BANGUN SISTEM PENJEJAKAN OBJEK MENGGUNAKAN METODE VIOLA JONES UNTUK APLIKASI EYEBOT , 2010 .

[3]  MSc. Agus Hardjoko,et al.  Sistem pendeteksi wajah manusia pada citra digital , 2004 .

[4]  Qing-Fang Zheng,et al.  A Hybrid Approach to Detect Adult Web Images , 2004, PCM.

[5]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[6]  Keiichi Uchimura,et al.  Phonographic image recognition using fusion of scale invariant descriptor , 2015, 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV).

[7]  Andoko Andoko.  PERANCANGAN PROGRAM SIMULASI DETEKSI WAJAH DENGAN SUPPORT VECTOR MACHINES - VIOLA JONES , 2007 .

[8]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[9]  B. Jedynak,et al.  Blocking Adult Images Based on Statistical Skin Detection , 2004 .

[10]  Tim Penyusun Kamus Pusat Pembinaan Dan Pengembangan Bahasa.  Kamus Besar Bahasa Indonesia , 2005 .

[11]  Baozong Yuan,et al.  A novel approach for human face detection from color images under complex background , 2001, Pattern Recognit..

[12]  Rainer Lienhart,et al.  A survey on visual adult image recognition , 2012, Multimedia Tools and Applications.

[13]  Paul A. Watters,et al.  Identifying and Blocking Pornographic Content , 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).

[14]  Zhouyu Fu,et al.  Recognition of Pornographic Web Pages by Classifying Texts and Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Wen Gao,et al.  Research on the discrimination of pornographic and bikini images , 2005, Seventh IEEE International Symposium on Multimedia (ISM'05).

[16]  Dan Smith,et al.  Building systems to block pornography , 1999 .

[17]  Chiou-Shann Fuh,et al.  Pornography Detection Using Support Vector Machine , 2003 .