Detection of Fake Currency using Deep Learning

Jyothi G, Nikitha Jv and Keerthana Ch

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022, vol. 8, issue 5, 321-323

Abstract: Gigantic automation expansion in publish and inspect manufactory build inauthentic complication to promote dynamically as a outcome inauthentic legal tender affects tied in husbandry along with diminish the profit of aboriginal money ergo it is and essential concerning ascertain the artificial legal tender most of the erstwhile methods are established as for accouterments and resemblance computing approach observation inauthentic legal tender with these methods is inferior efficacious also time ingest to conquer the raised complication we have bounce the discernment of inauthentic legal tender applying abound less complexity nervous chain our work recognize the artificial legal tender by inspect the legal tender appearance the communicate educated complexity nervous chain is competent with two thousand five hundred two hundred and fifty Indian currency note data sets to learn the feature map of the currencies once the feature map is learnt the network is ready for identifying the fake currency in real time the proposed approach efficiently identifies the forgery currencies of 2000500200 and 50 with less time consumption keywords convolutional neural network currency detection deep learning feature extraction image processing.

Keywords: CNN; Features; Extraction; Deep Learning; Image Processing. (search for similar items in EconPapers)
Date: 2022
Note: Article URL: https://ijsrcseit.com/CSEIT2390275
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