ATTESTA, an Image Processing Application Android Mobile Application

Authors

  • Vishal G. Patil  Department of Computer Engineering, Zeal College of Engineering & Research, Pune, Maharashtra, India
  • Asim A. Ibushe  Department of Computer Engineering, Zeal College of Engineering & Research, Pune, Maharashtra, India
  • Namrata L. Badge  Department of Computer Engineering, Zeal College of Engineering & Research, Pune, Maharashtra, India

Keywords:

Computer vision, Neural Network, Optical Character Recognition, Attestation, Automation.

Abstract

Today's most commercial workplaces follow manual verification of any Id proof documents which are attached for attestation purposes. Handwritten text recognition is possible with the help of OCR technology. The main goal is to build a system that reduces the manual data scrapping job of an organization that mimics the functionality of the Google Lens System. Our system allows people in the commercial departmental territory to assistin their task of collection & verification of proof documents using computer vision technology. With Optical Character Recognition and neural network technology, businesses can automate the process.Steps to follows: [scan-attend-read-validate] Extracting text from custom form bitmap and original Identification card bitmap documents, notify if there is an Anomaly. Our proposed model is potentially suitable to be deployed in commercial large-scale businesses to classify the documents.

References

  1. Optical character recognition (OCR), EXPLAINTHATSTUFF, Chris Woodford, May 11, 2021
  2. Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning, DropBox, Brad Neuberg, Apr 12, 2017
  3. ML Kit Text Recognition API
  4. An Artificial Intelligence Based Approach to Automate Document Processing in Business Area, Ta Hang Chen, Massachusetts Institute Of Technology, June 2021
  5. Document AI: Benchmarks, Models And Applications, Lei Cui, Yiheng Xu, TengchaoLv, Furu Wei, Microsoft Research Asia, 16 Nov 2021

Downloads

Published

2022-04-30

Issue

Section

Research Articles

How to Cite

[1]
Vishal G. Patil, Asim A. Ibushe, Namrata L. Badge, " ATTESTA, an Image Processing Application Android Mobile Application" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.476-478, March-April-2022.