Extraction of an Image Dominant Color is a system for getting a major colors present in an image using a K-Means clustering algorithm. In order to generate major color of given image there involves several steps namely, conversion from BGR to RGB, resizing the image, reshaping the image. K-Means clustering algorithm is applied to the processed image. K-Means algorithm is an unsupervised learning algorithm which typically make inferences from dataset using input vectors referring to labelled. Number of cluster is provided to a K-means algorithm as a parameter. The output of this algorithm is plotted using a pie chart. The algorithm is applied to the 64*64 size image and cluster value is chosen 8 where the accuracy obtained was 95.5%. The color information retrieved from this project can be used in color based image information retrieval system, a system that extract image information from image database.