Journal of Graphic Engineering and Design

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Vol. 14 No. 2 (2023): JGED - June 2023
Professional paper

Features of Indian paper currency and its validation

Sonia Sarkar
Jadavpur University, Department of Printing Engineering, Salt Lake, Kolkata, India
Arun Kiran Pal
Jadavpur University, Department of Printing Engineering, Salt Lake, Kolkata, India

Published 2023-06-01

abstract views: 55 // Full text article (PDF): 93


Keywords

  • Salient features,
  • security features,
  • physical dimensions,
  • Likert scale

How to Cite

Sarkar, S., & Kiran Pal, A. (2023). Features of Indian paper currency and its validation. Journal of Graphic Engineering and Design, 14(2), 5–14. https://doi.org/10.24867/JGED-2023-2-005

Abstract

In this paper the different salient features of the old and new version of Indian paper currency notes have been studied and compared. The list of security features of Indian currencies have been mentioned and discussed. Various kinds of conventional methods that are used to detect authenticity and to recognize a note has been explained. It has been observed that each technique has its own objective and significance. There are many conventional tools that can be used to recognize different features of a note. To classify different techniques, the detection method comprises of two parts i.e., the first line detection method and the second line detection method. Physical dimensions of a paper note along with its thickness have pointed out a new parameter which is the diagonal of a genuine currency note that has been calculated to obtain a proposed standardization and each value differs from different denominations. The classification of different Indian banknotes giving emphasis on its characteristics, both salient and security features, dimensions and detection methods has been mentioned and briefly explained. For validation of the paper currencies two methods have been discussed emphasizing on fuzzy logic framework by taking into consideration a 3-point likert scale and another validation methodology using digital image processing.

Article historyReceived (July 29, 2022); Revised (September 28, 2022); Accepted (October 17, 2022); Published online (June 1, 2023)

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