An Efficient Technique for Detection of Fake Currency
Snehlata1, Vipin Saxena2

1Snehlata*, Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India.
2Vipin Saxena, Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India. 

Manuscript received on 15 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 1298-1305 | Volume-8 Issue-3 September 2019 | Retrieval Number: B3196078219/19©BEIESP | DOI: 10.35940/ijrte.B3196.098319
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Abstract: During the past years, some of the researchers are using the matching techniques for identification of the fake currency either by using the Mathematical formulation or by using the readymade simulation tools. A lot of methods namely edge detection, segmentation, feature extraction, pattern matching has been used for finding and identification of the fake currency. In the present work, Principal Component Analysis (PCA) is used to detect the feature of currency through modeling and a proposed algorithm is elaborated to recognize the fake currency in the form of note Rs 2000 of Indian currency. Graphs are also designed to justify the present approach along with the comparison of results.
Keywords: Eigenvalues, Eigenvectors, Fake Currency, Matching Techniques.

Scope of the Article:
Computational Techniques in Civil Engineering