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Currently the digital images are used in various areas like medical, fashion, architecture, face recognition, finger print recognition and bio metrics. Recently the CBIR reduced the semantic gap between the low visual features and high level image semantics. In this paper we describe a novel framework for performing content-based image retrieval using Back Propagation Neural Network. Our method focuses on performing category search, though it could easily be ex-tended to other types ofdoi:10.9790/0661-16450109 fatcat:pvygftcvyvfo3hzi2zreksp2ky