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A Two-stage CNN Based Computer Vision Framework for Automated Validation of Indian Bank Cheques Cover

A Two-stage CNN Based Computer Vision Framework for Automated Validation of Indian Bank Cheques

Journal of Information Assurance and Security
Volume 19 (2024): Issue 4 (December 2024)
By: Debjani Chakraborty,  Projjal Sahoo,  Argha Biswas,  Sujaan Maitra,  Sourav Saha and  Biswajit Halder  
Open Access
|Feb 2025

Authors

Debjani Chakraborty

debjani.cse@gmail.com

Narula Institute of Technology, Kolkata, India

Projjal Sahoo

projjalsahoo2017@gmail.com

Narula Institute of Technology, Kolkata, India

Argha Biswas

argha.biswas2811@gmail.com

Narula Institute of Technology, Kolkata, India

Sujaan Maitra

sjm28401@gmail.com

Narula Institute of Technology, Kolkata, India

Sourav Saha

souravsaha1977@gmail.com

Narula Institute of Technology, Kolkata, India

Biswajit Halder

biswajithalder88@gmail.com

Hooghly Engineering and Technology College, Hooghly, India
DOI: https://doi.org/10.2478/ias-2024-0011 | Journal eISSN: 1554-1029 | Journal ISSN: 1554-1010
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Language: English
Page range: 146 - 161
Published on: Feb 20, 2025
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
Automated Cheque Processing,
Mask RCNN,
Computer Vision
Related subjects:
Computer sciences,
Fundamentals of computer sciences,
Theoretical computer sciences,
IT-security and cryptology

© 2025 Debjani Chakraborty, Projjal Sahoo, Argha Biswas, Sujaan Maitra, Sourav Saha, Biswajit Halder, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

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