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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Deep Learning Based Image Extraction

Krupa K S, Gaganakumari M, Kavana S R, Meghana R, Varshana R

DOI: 10.17148/IJARCCE.2022.114119

Abstract: Enhancements in computing and media sciences, along with the evolution of Web, has resulted in a growth in the number of picture database and compilations, such as diagnostic images, e - library, and art gallery, which hold thousands of pictures. Conventional image extraction approaches like Text Driven Image Extraction and Histogram Analysis may take a long time to acquire the required photos from such a large collection. It's critical to create an efficient picture extraction technique that could manage such massive numbers of data at one go. The basic goal is to create a reliable tool which efficiently creates, implements, and reacts to data. An approach to develop an efficient image retrieval application that helps users to submit a query to the application and to obtain the image from a huge dataset.

How to Cite:

[1] Krupa K S, Gaganakumari M, Kavana S R, Meghana R, Varshana R, “Deep Learning Based Image Extraction,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.114119