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With the rapid growth in the new era of Internet Technology, image retrieval is an active and traditional method for searching the images by keywords or by images from the large amount of image database. As tags gives the descriptive information of an image on the web. Due to noisy nature in tags, it becomes necessary to correlate both image content and tag information for retrieval purposes. However, semantic gap is a major problem in the image processing concept. Therefore, our presenteddoi:10.5120/12541-9136 fatcat:eakjpf5kt5h53eapjdls3rbpwu