M. Parashar et al. (Eds.): IC3 2012, CCIS 306, pp. 471–480, 2012. © Springer-Verlag Berlin Heidelberg 2012 Skin Infection Identification Using Color and Euclidean Distance Algorithm Manish Kumar Sharma 1 , Rohit Maurya 2 , Ajay Shankar Shukla 3 , and P.R. Gupta 4 1 GNIT Greater Noida 2 Gameloft India Pvt. Ltd 3 ABV- IIITM Gwalior 4 CDAC Noida Abstract. In this paper we have discussed the method to detect skin identification. This method includes three main steps: First segmentation based on the pixel values, in which when the particular pixel values lies in the range it is skin area. Second is the post processing stage in which some area which is not the skin color but counted as a skin area is eliminated and some which is not counted as skin is added as possible. Third the segmented area is masked with original image (input image) and Finally Euclidean Distance is applied to find out Color difference between the segmented skin and mean of reference image based on threshold values classify the skin is infected or not. Keywords: Image Histogram, Pixel-Based Skin Detection, Morphological Processing, Masking, Euclidean Distance Algorithm. 1 Introduction Skin detection and identification has been topics of extensive research for several past decades. Many researchers have been done work on the topic Skin Detection but very little has been done on the Skin identification to find out the skin having rashes or infection. The process of skin identification is very difficult due to the fact, there is no certainty of skin color, it may be of red, pink, white, black etc. And the skin color of the same person is not homogenous through his various body parts. [1] Skin is an organ composed of several kinds of tissues, It is Largest organ, Performs many functions such as Prevents harmful substances, chemicals, microorganisms from entering body, water loss, Maintains temperature, Houses sensory receptors, Produces chemicals such as Vitamin D, Excretes wastes. There are two layers of skin. First: Epidermis- The outer layer of skin is epidermis, it is a thin layer and Second: Dermis- the Inner layer of skin is dermis (thicker than epidermis). Our Experiment is carried out on the Epidermis, which is the outer layer of skin. For many years, a premise has been accepted in the field of skin identification that in order to have a valid identification that the skin is infected or not, it can be obtained when we find dissimilarities or similarities respectively in the skin region.