Abstract: Content based image retrieval is the task of retrieving the images from the large collection of database on the basis of their own visual content. In this paper, first I presented overview of geometric and statistical distance metrics used in CBIR along with the comparative analysis of these measures on color and texture features. Color features extracted by computing color histograms in HSV space and texture features by wavelet decompositions. Geometrical distances such as Euclidean, standard Euclidean statistical distance metrics such as spearman, minkowski, Mahalanobis were analyzed for feature similarity. Correlation and relative deviation is also found in it. I gave certain conclusions on the performance of all these distance metrics in terms of Precision and Recall graphs.