Kazi Tanvir Ahmed Siddiqui1 and Abu Wasif2
1Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh
2Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
ABSTRACT
The increasing popularity of animes makes it vulnerable to unwanted usages like copyright violations and pornography. That’s why, we need to develop a method to detect and recognize animation characters. Skin detection is one of the most important steps in this way. Though there are some methods to detect human skin color, but those methods do not work properly for anime characters. Anime skin varies greatly from human skin in color, texture, tone and in different kinds of lighting. They also vary greatly among themselves. Moreover, many other things (for example leather, shirt, hair etc.), which are not skin, can have color similar to skin. In this paper, we have proposed three methods that can identify an anime character’s skin more successfully as compared with Kovac, Swift, Saleh and Osman methods, which are primarily designed for human skin detection. Our methods are based on RGB values and their comparative relations.
KEYWORDS
Animation; Skin color detection; Image Processing; Skin color classifier; RGB based skin detection
Original Source URL: https://airccse.org/journal/ijsc/papers/6115ijsc04.pdf
https://airccse.org/journal/ijsc/current2015.html
#softcomputing #imageprocessing #animation
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