Abstract
Due to increase in multimedia and internet technology day-by-day the Content Based Image Retrieval(CBIR) is an attractive research area for computer vision researcher since last decade. There is various model of CBIR have been proposed for retrieving images from huge database. In this work, we present an empirical analysis of CBIR model using Gabor feature descriptors in MATLAB. The similarity is measure by Euclidian distance method between query image and data base image. The efficiency of the CBIR Model can be calculating using both precision and recall and all the experimental results shows that system performs well on five different standard datasets.
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