An image Retrieval is a process of browsing, searching and retrieving images from a large database of digital images. Image database is a collection of large number of different kinds of images such as textured, non- textured, natural, artificial and cartoons etc. When a query image is submitted, its low-level as well as high level visual features are extracted. Then, all images in the database are sorted based on a similarity metric. If the user is satisfied with the result, the retrieval process is ended. User satisfaction is done by means of relevance feedback (RF) algorithm. In order to retrieve the unsampled images effectively we proposed semi supervised biased discriminant Euclidean embedding(semi BDEE).This method increase the stability and accuracy on dfferent kind of image database.
