Review on Content Based Duplicate Image Detection

Content Based image retrieval uses visual contents to search images from large scale database according to user-s requirement. This paper provides a review on features used in content based image retrieval and various methods used to reduce semantic gap. It also introduced new system for retrieval of relevant images with duplicate detection framework. The proposed method uses a visual vocabulary of vector quantized local feature descriptors to find similarity measures to evaluate near duplicate image detection. Using this duplicate image detection technique with existing Intent search system improves precision of top ranked images.