A Web Application-Based Secured Image Retrieval System With an IoT-Cloud Network

Shikha Bhardwaj, Gitanjali Pandove and Pawan Kumar Dahiya
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Shikha Bhardwaj: Deenbandhu Chhotu Ram University of Science and Technology, India & University Institute of Engineering and Technology, Kurukshetra University, Haryana, India
Gitanjali Pandove: Deenbandhu Chhotu Ram University of Science and Technology, Haryana, India
Pawan Kumar Dahiya: Deenbandhu Chhotu Ram University of Science and Technology, Haryana, India

International Journal of Web Services Research (IJWSR), 2021, vol. 18, issue 1, 1-20

Abstract: Many encryption and searching techniques have been used, but they did not prove effective to support smart devices in order to provide input image. Therefore, based on these facts, an effective and novel system has been developed in this paper which is based on content-based search concentrated on encrypted images. Four type of features, namely color moment (CM), Gray level co-occurrence matrix (GLCM), hybrid of CM and GLCM, and lastly, a deep belief network (DBN) has been used here. This deep neural network is based on clustering in combination with indexing and the developed model is called as cluster-based deep belief network (CBDBN) in the present work. A web based application has also been developed using Apache Tomcat server and MATLAB engine. Analysis of many parameters like precision, recall, entropy, correlation coefficient, and time has been done here on benchmark datasets, namely WANG and COIL.

Date: 2021
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