Machine Learning-Based Technique for Image Classification and Identification of Similarity for Commonness of Source
Sruthi.V1, Lakshmi Narayanan.S2
1V.Sruthi, Pursuing B.E, Computer Science and Engineering, SCSVMV Deemed, University, Kanchipuram, Tamil Nadu, India.
2S.Lakshmi Narayanan, Pursuing B.E, Computer Science and Engineering, SCSVMV Deemed, University, Kanchipuram, Tamil Nadu, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 544-548 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3805049620/2020©BEIESP | DOI: 10.35940/ijitee.F3805.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In India Every year RBI (Reserve bank of India) faces the issue of fake currency. Fake Currency has consistently been an issue that has made a lot of chaos in the market. The expanding mechanical progressions have made the opportunities for making progressively fake currency which is circled in the market which decreases the general economy of the nation. There are machines present at banks and other business regions to check the validness of the monetary forms. Be that as it may, a typical man doesn’t approach such frameworks and henceforth a requirement for a product to distinguish counterfeit cash emerges, which can be utilized by average folks. This proposed framework utilizes Image Processing to identify whether the currency is real or fake. The framework is structured utilizing Python programming language and OpenCV. It comprises of the means, for example, grayscale detection, edge detection, Highlight Extraction, and so forth which are performed utilizing reasonable strategies. And which will be further implemented in the Framework for Classification and Identification of Similarity for Commonness of Source
Keywords: OpenCV, Edge Detection, Highlight Extraction, Image Processing, and Fake Currency.
Scope of the Article: Image Processing and Pattern Recognition