Results 11 to 20 of about 959 (226)

Fake Currency Detection

International Journal of Innovative Research in Information Security, 2023
Indian is a developing country, Production, and printing of Fake notes of Rs.100, 500 and 1000 were already there but after the demonetization, the counterfeit notes of new Rs.50,200,500,2000 have also come to the light in very short time and which effects the country’s economic growth.
Krithika T, Lakshitha B K, Monica Dara, Priya P J, Veena G   +4 more
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Indian Currency Denomination Recognition and Fake Currency Identification

Journal of Physics: Conference Series, 2021
AbstractVisually impaired and senior citizens find it difficult to identify different banknotes, driving the need for an automated system to recognize currency notes. This study proposes recognizing Indian currency notes of various denominations using Deep Learning through the CNN model.
B Padmaja, P Naga Shyam Bhargav, H Ganga Sagar, B Diwakar Nayak, M Bhushan Rao   +4 more
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Forensic Examination of Counterfeit Indian Currency based on Unique Obscure High Security Features in New Indian High Denomination Currency Note

Arab Journal of Forensic Sciences & Forensic Medicine, 2019
Rampant cases related to circulation of fake currency notes have been reported worldwide. With the introduction of new banknotes (announced after demonetization) having advanced and exclusive security features, it is the need of the hour, especially for ...
Ritika Verma, N. Ramakrishnan N. Ramakrishnan   +1 more
doaj   +1 more source

Machine learning-based authentication of banknotes: a comprehensive analysis [PDF]

Big Data and Computing Visions
This research investigates the utilization of machine learning techniques for the identification and classification of counterfeit currency. The study utilizes a dataset consisting of authentic and counterfeit banknotes, employing various classification ...
Nadia Ghasem Abadi
doaj   +1 more source

FAKE CURRENCY DETECTION USING CNN

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
Right now, Fake Currency Acknowledgment System is intended to identify the fake paper cash to check whether it is phony or unique. The current fake issue due to demonetization impacts the financial framework and furthermore in other fields. Another methodology of Convolution Neural Network towards ID of phony money notes through their pictures is ...
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The Impact of Sanctions’ Reduction and the Financial Strength of Companies on the Development of Garment Exports, Considering the Mediation Role of Direct and Indirect Exports. [PDF]

ارزش آفرینی در مدیریت کسب و کار
The purpose of this research is to investigate the effect of Sanctions’ Reduction and the financial strength of companies on the development of garment exports, considering the mediating role of direct exports and indirect exports. The research method is
Farshad Alidaei, Mostafa Hashemi Tilehnouei, hossein vazifedoost   +2 more
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Fake Currency Detection with Machine Learning

, 2022
Abstract — One of the major crisis faced by the common people is to identify banknotes. It identifies the note which is given to the system,. All Indian notes have unique features. Indian currencies have a set of old notes and a set of new notes. So, it is difficult to identify each Indian note. Gives the system a note to identify which note it is. The
Amala Mariyat, Anit James
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Fake Currency Detection for Differently Abled People

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: For people with visual impairments, identifying various currency denominations and fake currency is difficult. Even though special symbols are engraved on various denominations in India, the process is time-consuming for people with disabilities.
Devaraj Ganiger, Guruprasad Hadli, Hemanth R, null Jagannath, Prof. Yashaswini Gowda N   +4 more
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Fake Indian currency detection

Indian Journal of Data Mining
The proliferation of counterfeit currency poses a significant threat to both individuals and the national economy. While existing fake currency detection tools are primarily accessible to banks and large enterprises, everyday people and small businesses remain susceptible.
M. Likhithaa, Rhea J. Kurian, Rakshitha Vasudev Ankolekar, V.B. Chaitra Kiran, V. Vani   +4 more
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Is journalism failing on climate?

Environmental Research Letters, 2012
How can we build a reliable and affordable energy supply based on renewables? How rapidly do we need to cut greenhouse gas emissions to keep climate change within manageable bounds?
Stefan Rahmstorf
doaj   +1 more source