End to End Deep Neural Network: An approach to clean noisy documents

Sachin Lodhi, Sakshi Sakshi, Vinay Kukreja, Rohit Sachdeva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digitalization is required for the industry's evolution in each sub-sector. While the rate of digitalization has had an influence, traditional methods of document storage have been supplanted by digital techniques such as databases, softcopies, and so on. However, certain industries continue to use the conventional technique of storing data, such as hard copies and scanned digital documents. There would be a certainty of the presence of numerous factors, such as noise, background noise, obscured and blurred text, and watermarks, while collecting digital photos from these hard copies and scanned documents. The quality of the acquired image degrades as a result of these factors. Because of the variables listed above, the digital version, i.e., photographs of the physical document, has declined in quality. This article proposes a solution to this problem. The proposed model loosely follows the Encoder-Decoder structure. The model is trained on 2000 images and managed to achieve 66.33% accuracy on the validation set.

Original languageEnglish
Title of host publication2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665474337
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes
Event10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022 - Noida, India
Duration: 13 Oct 202214 Oct 2022

Publication series

Name2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2022

Conference

Conference10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022
Country/TerritoryIndia
CityNoida
Period13/10/2214/10/22

Keywords

  • Deep neural network
  • educational
  • innovative
  • research development
  • scientific research
  • technological capabilities

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management

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