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Abstract
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Article Information:
A New Skin Detection Approach for Adult Image Identification
A. Nadian Ghomsheh and A. Talebpour
Corresponding Author: A. Nadian Ghomsheh
Submitted: June 08, 2012
Accepted: July 04, 2012
Published: November 01, 2012 |
Abstract:
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With rapid proliferation of adult content on the internet, development of software to detect and
filter this content is gaining more and more attention. In this study, a new method for adult image
identification is proposed. Accurate human skin detection and extraction of relative features are the
bottlenecks in this regard. In the proposed skin detection method, first, Hue color information is utilized to
examine whether skin is present in the image, and if so, using dynamic thresholding an estimate of the skin
region is obtained. In the second step, for images that contain skin, an exponential function is fitted to the
histogram of the estimated skin area. Based on the parameters of the fitted function, the final skin map of
the image is extracted. Area, texture, and a new shape feature are extracted from each region and used for
image classification using neural networks. 95% accuracy for skin detection and 93.7% accuracy of adult
image detection, compared to other methods showed the significance of the proposed method.
Key words: Dichromatic reflection model, HSV color space, skin detection, objectionable image filtering, , ,
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Cite this Reference:
A. Nadian Ghomsheh and A. Talebpour, . A New Skin Detection Approach for Adult Image Identification. Research Journal of Applied Sciences, Engineering and Technology, (21): 4535-4545.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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