Recognizing and Verifying the Handwritten Fields on Cheques Using Filtering Techniques

Authors

  • M. R. Krishna Rao Veeranki Assistant Professor, UG Student Department of CSE, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Andhra Pradesh, India Author
  • B.N.V.Praneeta UG Student, Department of CSE, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Andhra Pradesh, India Author
  • B. Gowthami UG Student, Department of CSE, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Andhra Pradesh, India Author
  • J.Tarun UG Student, Department of CSE, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Andhra Pradesh, India Author
  • M. Indu Sri UG Student, Department of CSE, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Andhra Pradesh, India Author

Keywords:

OCR, TESSERACT, OPENCV

Abstract

In general, bank cheques are used extensively for financial transactions in various organizations. Cheques are always verified manually. The traditional verification process will always include date, signature, legal information, and payment written on the cheques. In this paper, extracting the legal information from captured cheque image is obtained by preprocessing the image, extracting required information and then recognizing and verifying the handwritten fields. Image processing techniques like thinning, median filtering, dilation, and verification techniques are also employed in this approach.

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Published

25-04-2024

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Section

Research Articles

How to Cite

[1]
M. R. Krishna Rao Veeranki, B.N.V.Praneeta, B. Gowthami, J.Tarun, and M. Indu Sri, “Recognizing and Verifying the Handwritten Fields on Cheques Using Filtering Techniques”, Int J Sci Res Sci Eng Technol, vol. 11, no. 2, pp. 443–451, Apr. 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET2411264