Classification and Separation of Images Received in File Sharing Applications Using Machine Learning

DOI

10.2991/978-94-6463-252-1_39How to use a DOI?

Keywords

Handwritten notes; printed notes; circulars; convolutional neural networks (CNN); image classification; deep learning; artificial neural network

Abstract

Nowadays, applications like WhatsApp, Telegram etc. are widely used for sharing images by students during their academics. The images that are shared through these applications include printed notes, handwritten notes, question papers, circulars, marksheets and many more. In due course of time, the storage capacity of mobile phones gets filled up. All these images are stored in a single media folder and get mixed up. Since there are many categories, searching for a particular kind of image would be tedious. To reduce the task of manual deletion of images and to sort the images according to their category, this paper describes the design of a model that will extract the image into its respective folder.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Koripelli Kartheesh Reddy
AU  - Sai Akhil Podduturi
AU  - G. Vanitha
PY  - 2023
DA  - 2023/11/09
TI  - Classification and Separation of Images Received in File Sharing Applications Using Machine Learning
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 355
EP  - 360
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_39
DO  - 10.2991/978-94-6463-252-1_39
ID  - Reddy2023
ER  -