Image to Text Converter and Translator using Deep Learning and Image Processing
Swapnil Sinha1, Harsh Kumar Kataruka2, Vijayakumar Kuppusamy3
1Swapnil Sinha*, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore.
2Harsh Kumar Kataruka, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore.
3Vijayakumar Kuppusamy, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on June 10, 2020. | PP: 715-718 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6695069820/2020©BEIESP | DOI: 10.35940/ijitee.H6695.069820
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© 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: IIn this paper, we will present a general study on Image and text converter using deep learning and image processing. The main contents will include how the application will work and all the processing, segmentation, feature extraction, recognition and other steps involved. We will also present how this can be used in our daily lives.
Keywords: Deep learning, Image processing, Optical character recognition, Py Tessaract, Tensor flow, Python.
Scope of the Article: Deep Learning