An Research to Enhance the Old Manuscript Resolution using Deep Learning Mechanism
Syed Nawaz Pasha1, D. Ramesh2, D. Kodhandaraman3, M D. Salauddin4
1Syed Nawaz Pasha, Department of Computer Science & Engineering, S R Engineering College, Warangal, Telangana, India.
2D. Ramesh, Department of Computer Science & Engineering, S R Engineering College, Warangal, Telangana, India.
3Dr. D. Kodhandaraman, Department of Computer Science & Engineering, S R Engineering College, Warangal, Telangana, India.
4M D. Salauddin, Department of Computer Science & Engineering, S R Engineering College, Warangal, Telangana, India.
Manuscript received on 15 April 2019 | Revised Manuscript received on 22 April 2019 | Manuscript Published on 26 July 2019 | PP: 1597-1599 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F13210486S419/19©BEIESP | DOI: 10.35940/ijitee.F1321.0486S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper we address the problem of enhancing the resolution of old manuscripts as these will deteriorate over time. The manuscripts are of at most importance as they may contain sensitive and important imformation. Hence digital processing techniques play a crucial role to improve the quality of the manuscripts. We propose a standard deep learning mechanism that is conventional neural network (CNN) to enhance image resolution which will help to increase resolution of old manuscript .It not only increases the resolution but also tries to identify missing content using digit recognizer. We also compare the efficiency of our approach with the existing image enhancing techniques.
Keywords: Deep Learning, Conventional Neural Network, Image Enhancement, Digit Recognizer.
Scope of the Article: Deep Learning