Content Based Image Retrieval Using Neural Network and SIFT

Volume: 2    Issue: 3

Year of Publication: 2015

Pages: (7-10)

Authors: Meenu, Er. Sanjay Madaan

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Abstract

Extensive digitization of pictures, portraits, charts and origination of World Wide Web (www), has made traditional keyword based quest for picture, an incompetent technique designed for recovery of mandatory picture data. In this paper, a global picture properties based on CBIR technique using a back propagation neural network is suggested. In the beginning, the neural network is skilled about the features of pictures in the particular database. The training is carried out using back propagation algorithm. This trained when presented with a query picture retrieves and displays the pictures which are relevant and similar to query from the specific database. The results demonstrate quiet significant enhancement in terms of precision and recall of image retrieval.

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Keywords

CBIR, Feature Extraction, Neural Network, SIFT.