Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System

Majid Mirbod

doi:doi:10.11648/j.ijimse.20220703.11

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Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System

Majid Mirbod

Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 7, Issue 3)

Received: 14 October 2022 Accepted: 11 November 2022 Published: 22 November 2022

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Abstract

This study presents the paper currency authenticity recognition model using machine vision and image processing and fuzzy interface system in the Framework of Industrial Information Integration and it is applied research category. Therefore, this is a new presentation of an industrial information integration engineering system to develop methods of recognition between original paper currency and fake paper currency. We used machine vision to improve human vision in paper money authenticity recognition. The growing production of fake paper currency in some countries explains the need to define the way authenticity paper money recognition. Paper money makers often define and implement unique features to further identify and secure paper currency and prevent counterfeit money printing. Most of these features are not easily recognizable to the human eye and require an auxiliary tool to identify their authenticity. So; this study aims to aggregate different tools identified by other researchers in the subject of paper currency authenticity recognition because current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can recognize the difference between original paper currency and fake paper currency with machine vision and image processing; also in this research different comparative methods have been used.

Published in	International Journal of Industrial and Manufacturing Systems Engineering (Volume 7, Issue 3)
DOI	10.11648/j.ijimse.20220703.11
Page(s)	57-68
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Industrial Information Integration, Paper Currency Authenticity Recognition, Machine Vision, Image Processing, Fake Currency Recognition System, Fuzzy Interface System

References

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[2]	ER-w ZHANG'", BO JIANG'JING-HONGD UAN', ZHENGZHONG BIAN, "RESEARCH ON PAPER CURRENCY RECOGNITION BY NEURAL NETWORKS", Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi", 2-5 November 2003, DOI: 10.1109/ICMLC.2003.1259870.
[3]	Minal Gour, Kunal Gajbhiye, Bhagyashree Kumbhare, and M. M. Sharma, "Paper Currency Recognition System Using Characteristics Extraction and Negatively Correlated NN Ensemble", Advanced Materials Research, 2012, DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.915
[4]	Bhawani Sharma, Amandeep Kaur, Vipan, "Recognition of Indian Paper Currency based on LBP", International Journal of Computer Applications (0975 – 8887) Volume 59– No.1, December 2012, DOI: 10.5120/9514-3913.
[5]	Kishan Chakraborty, Jordan Basumatary, Debasmita Dasgupta, Jagadish Chandra Kalita, Subra Mukherjee, "RECENT DEVELOPMENTS IN PAPER CURRENCY RECOGNITION SYSTEM", International Journal of Research in Engineering and Technology eISSN: 2319-1163 \| pISSN: 2321-7308, 2013, DOI: 10.15623/ijret.2013.0211034.
[6]	Komal Vora, Ami Shah, Jay Mehta, "A Review Paper on Currency Recognition System", International Journal of Computer Applications, April 2015, DOI: 10.5120/20264-2669.
[7]	Muhammad Sarfraz, "An intelligent paper currency recognition system", International Conference on Communication, Management and Information Technology (2015), doi: 10.1016/j.procs.2015.09.128.
[8]	Tushar Agasti, Gajanan Burand, Pratik Wade and P Chitra, "Fake currency detection using image processing", Materials Science and Engineering, 2017, doi: 10.1088/1757-899X/263/5/052047.
[9]	Dr. Ritu Sindhu, Pranshu Verma, "Currency Recognition System Using Image Processing", International Journal of Scientific & Engineering Research Volume 11, Issue 4, April-2020, ISSN 2229-5518.
[10]	Teena Varma, Ansari Rumaesa, Aarati Naikal, Revati Nashte, Vishakha Naik, " Fake Currency Detection using Image Processing", International Journal of Scientific & Engineering Research, Volume 11, Issue 6, June-2020 ISSN 2229-5518IJSER.
[11]	Muhamad, S., & Ahmed, T. N, "Image-Based Processing of Paper Currency Recognition and Fake Identification: A Review". Technium Romanian Journal of Applied Sciences and Technology, 3 (7), 46–63. Retrieved from https://techniumscience.com/index.php/technium/article/view/4378.
[12]	Yong Chen, "Industrial information integration—A literature review 2006–2015", Journal of Industrial Information Integration, http://dx.doi.org/10.1016/j.jii.2016.04.004
[13]	Majid Mirbod, Ali Rajabzadeh Ghatari, Saber Saati, Maryam Shoar, "Industrial parts change recognition model using machine vision, image processing in the framework of industrial information integration", Journal of Industrial Information Integration, https://doi.org/10.1016/j.jii.2021.100277
[14]	Wang Zhou, Bovik, Alan C., Sheikh, Hamid R., and Simoncelli, Eero P, “Image Quality Assessment: From Error Visibility to Structural Similarity”. IEEE Transactions on Image Processing, Volume 13, Issue 4, pp. 600–612, April 2004.
[15]	Mamdani, E. H., and S. Assilian. ‘An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller’. International Journal of Man-Machine Studies 7, no. 1 (January 1975): 1–13. https://doi.org/10.1016/S0020-7373(75)80002-2.
[16]	Sugeno, Michio, ed. Industrial Applications of Fuzzy Control. Amsterdam ; New York : New York, N. Y., U.S.A: North-Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co, 1985.
[17]	Hamid Hassanpour, Payam M. Farahabadi, " Using Hidden Markov Models for paper currency recognition", Expert Systems with Applications 36 (2009) 10105–10111, doi: 10.1016/j.eswa.2009.01.057.

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APA Style

Majid Mirbod. (2022). Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. International Journal of Industrial and Manufacturing Systems Engineering, 7(3), 57-68. https://doi.org/10.11648/j.ijimse.20220703.11

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ACS Style

Majid Mirbod. Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. Int. J. Ind. Manuf. Syst. Eng. 2022, 7(3), 57-68. doi: 10.11648/j.ijimse.20220703.11

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AMA Style

Majid Mirbod. Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. Int J Ind Manuf Syst Eng. 2022;7(3):57-68. doi: 10.11648/j.ijimse.20220703.11

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@article{10.11648/j.ijimse.20220703.11,
  author = {Majid Mirbod},
  title = {Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {7},
  number = {3},
  pages = {57-68},
  doi = {10.11648/j.ijimse.20220703.11},
  url = {https://doi.org/10.11648/j.ijimse.20220703.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20220703.11},
  abstract = {This study presents the paper currency authenticity recognition model using machine vision and image processing and fuzzy interface system in the Framework of Industrial Information Integration and it is applied research category. Therefore, this is a new presentation of an industrial information integration engineering system to develop methods of recognition between original paper currency and fake paper currency. We used machine vision to improve human vision in paper money authenticity recognition. The growing production of fake paper currency in some countries explains the need to define the way authenticity paper money recognition. Paper money makers often define and implement unique features to further identify and secure paper currency and prevent counterfeit money printing. Most of these features are not easily recognizable to the human eye and require an auxiliary tool to identify their authenticity. So; this study aims to aggregate different tools identified by other researchers in the subject of paper currency authenticity recognition because current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can recognize the difference between original paper currency and fake paper currency with machine vision and image processing; also in this research different comparative methods have been used.},
 year = {2022}
}

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TY  - JOUR
T1  - Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System
AU  - Majid Mirbod
Y1  - 2022/11/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ijimse.20220703.11
DO  - 10.11648/j.ijimse.20220703.11
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 57
EP  - 68
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20220703.11
AB  - This study presents the paper currency authenticity recognition model using machine vision and image processing and fuzzy interface system in the Framework of Industrial Information Integration and it is applied research category. Therefore, this is a new presentation of an industrial information integration engineering system to develop methods of recognition between original paper currency and fake paper currency. We used machine vision to improve human vision in paper money authenticity recognition. The growing production of fake paper currency in some countries explains the need to define the way authenticity paper money recognition. Paper money makers often define and implement unique features to further identify and secure paper currency and prevent counterfeit money printing. Most of these features are not easily recognizable to the human eye and require an auxiliary tool to identify their authenticity. So; this study aims to aggregate different tools identified by other researchers in the subject of paper currency authenticity recognition because current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can recognize the difference between original paper currency and fake paper currency with machine vision and image processing; also in this research different comparative methods have been used.
VL  - 7
IS  - 3
ER  -

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Author Information

Majid Mirbod

Department of Industrial Management, Tehran North Branch, Islamic Azad University, Tehran, Iran

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Plain Text BibTeX RIS

APA Style

Majid Mirbod. (2022). Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. International Journal of Industrial and Manufacturing Systems Engineering, 7(3), 57-68. https://doi.org/10.11648/j.ijimse.20220703.11

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ACS Style

Majid Mirbod. Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. Int. J. Ind. Manuf. Syst. Eng. 2022, 7(3), 57-68. doi: 10.11648/j.ijimse.20220703.11

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AMA Style

Majid Mirbod. Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System. Int J Ind Manuf Syst Eng. 2022;7(3):57-68. doi: 10.11648/j.ijimse.20220703.11

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@article{10.11648/j.ijimse.20220703.11,
  author = {Majid Mirbod},
  title = {Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {7},
  number = {3},
  pages = {57-68},
  doi = {10.11648/j.ijimse.20220703.11},
  url = {https://doi.org/10.11648/j.ijimse.20220703.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20220703.11},
  abstract = {This study presents the paper currency authenticity recognition model using machine vision and image processing and fuzzy interface system in the Framework of Industrial Information Integration and it is applied research category. Therefore, this is a new presentation of an industrial information integration engineering system to develop methods of recognition between original paper currency and fake paper currency. We used machine vision to improve human vision in paper money authenticity recognition. The growing production of fake paper currency in some countries explains the need to define the way authenticity paper money recognition. Paper money makers often define and implement unique features to further identify and secure paper currency and prevent counterfeit money printing. Most of these features are not easily recognizable to the human eye and require an auxiliary tool to identify their authenticity. So; this study aims to aggregate different tools identified by other researchers in the subject of paper currency authenticity recognition because current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can recognize the difference between original paper currency and fake paper currency with machine vision and image processing; also in this research different comparative methods have been used.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Paper Currency Authenticity Recognition Model Using Machine Vision, Image Processing, Based on Fuzzy Interface System
AU  - Majid Mirbod
Y1  - 2022/11/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ijimse.20220703.11
DO  - 10.11648/j.ijimse.20220703.11
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 57
EP  - 68
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20220703.11
AB  - This study presents the paper currency authenticity recognition model using machine vision and image processing and fuzzy interface system in the Framework of Industrial Information Integration and it is applied research category. Therefore, this is a new presentation of an industrial information integration engineering system to develop methods of recognition between original paper currency and fake paper currency. We used machine vision to improve human vision in paper money authenticity recognition. The growing production of fake paper currency in some countries explains the need to define the way authenticity paper money recognition. Paper money makers often define and implement unique features to further identify and secure paper currency and prevent counterfeit money printing. Most of these features are not easily recognizable to the human eye and require an auxiliary tool to identify their authenticity. So; this study aims to aggregate different tools identified by other researchers in the subject of paper currency authenticity recognition because current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can recognize the difference between original paper currency and fake paper currency with machine vision and image processing; also in this research different comparative methods have been used.
VL  - 7
IS  - 3
ER  -

Copy | Download