Deep Learning Techniques for Bangladeshi Coin Detection and Automated Counting System: A Comparative Study of Multiple Algorithms-Reference-Cited by-同舟云学术

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Deep Learning Techniques for Bangladeshi Coin Detection and Automated Counting System: A Comparative Study of Multiple Algorithms

Published:2024-04-25 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)
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Author:

Babor Ashraf Hussan¹,Choity Umme Habiba¹,Kaspia Most.¹,Paul Subrata Kumer²,Paul Rakhi Rani²,Haque Md. Momenul¹,Hamid Md. Ekramul²

Affiliation:

1. Bangladesh Army University of Engineering & Technology (BAUET), Qadirabad, Dayarampur,Dept. of Computer Science and Engineering,Natore,Bangladesh,6431

2. University of Rajshahi,Department of Computer Science and Engineering,Rajshahi,Bangladesh,6205

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10561631/10561632/10561714.pdf?arnumber=10561714

Reference17 articles.

1. Indian currency recognition and verification using image processing;Suresh;International Research Journal of Engineering and Technology (IRJET),2016

2. Real-time Bangladeshi Currency Detection System for Visually Impaired Person

3. Speech Command Recognition System using Deep Recurrent Neural Networks

4. Currency Detection and Recognition Based on Deep Learning

5. Currency recognition system using image processing

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