Extraction of Character from Visuals and Images Using OpenCV

Authors

  • Fathima Chandhini S  Assistant Professor, Department of Information Technology, M.A.M. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
  • Rashad H  UG Student, Department of Information Technology, M.A.M. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
  • Gowseelan K  UG Student, Department of Information Technology, M.A.M. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
  • Jayasarathy S  UG Student, Department of Information Technology, M.A.M. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India

DOI:

https://doi.org/10.32628/CSEIT2390363

Keywords:

Text Recognition, Character Extraction, Optical Character Recognition.

Abstract

To develop a computer vision system that can accurately extract characters from document pages and image data using the OpenCV library. The system is designed to process a wide range of visual inputs and extract characters with high precision and efficiency. The techniques used to implement the character extraction system, including pre-processing, feature extraction, and classification. The performance of the system is evaluated using a dataset of visual image data from a different type of visual inputs and the output of the system can be accurately extracting characters. In Future, Automated conversion of an image input into a machine-readable file.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-06-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Fathima Chandhini S, Rashad H, Gowseelan K, Jayasarathy S, " Extraction of Character from Visuals and Images Using OpenCV" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.194-200, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT2390363