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Nowadays, digital content is widespread and simply redistributable, eitherlawfully or unlawfully. For example, after images are posted on the internet,other web users can modify them and then repost their versions, therebygenerating near-duplicate images. The presence of near-duplicates affects theperformance of the search engines critically. Computer vision is concerned withthe automatic extraction, analysis and understanding of useful information fromdigital images. The main application of computer vision is image understanding.There are several tasks in image understanding such as feature extraction,object detection, object recognition, image cleaning, image transformation,etc. There is no proper survey in literature related to near duplicatedetection of images. In this paper, we review the state-of-the-art computervision-based approaches and feature extraction methods for the detection ofnear duplicate images. We also discuss the main challenges in this field andhow other researchers addressed those challenges. This review provides researchdirections to the fellow researchers who are interested to work in this field.

A Review on Near Duplicate Detection of Images using Computer Vision Techniques