Results 51 to 60 of about 1,702,697 (182)
State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem
International Journal of Advanced Computer Science and Applications—In the burgeoning epoch of digital finance, the exigency for fortified monetary transactions is paramount, underscoring the need for advanced counterfeit deterrence methodologies.
Ualikhan Sadyk +2 more
semanticscholar +1 more source
Benchmarking the Semi-Supervised Naïve Bayes Classifier [PDF]
, 2015 Semi-supervised learning involves constructing predictive models with both labelled and unlabelled training data. The need for semi-supervised learning is driven by the fact that unlabelled data are often easy and cheap to obtain, whereas labelling data ...
Bagnall, Anthony +2 more
core +1 more source
Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition
Tongxin xuebao, 2018 New feature extraction algorithm was proposed based on quaternion common spatial pattern in order to solve the lack of effective description of phase information in the banknote feature extraction and analysis. Firstly, the quaternion matrix was utilized
Shan GAI
doaj +2 more sources
Mass Spectrometry Reviews, EarlyView.ABSTRACT The review examines the evolution of chemical ionization mass spectrometry (CI‐MS), a technique developed in 1966 by Field and Munson. CI is a soft‐ionization method that produces more intense molecular ions with less fragmentation than electron ionization (EI).
Malvika Dutt +4 more
wiley +1 more source
Sensors, 2016 Fitness classification is a technique to assess the quality of banknotes in order to determine whether they are usable. Banknote classification techniques are useful in preventing problems that arise from the circulation of substandard banknotes (such as
Seung Yong Kwon +4 more
doaj +1 more source
e-Counterfeit: a mobile-server platform for document counterfeit detection
, 2017 This paper presents a novel application to detect counterfeit identity documents forged by a scan-printing operation. Texture analysis approaches are proposed to extract validation features from security background that is usually printed in documents as
Berenguel, Albert +3 more
core +1 more source
An empirical approach for currency identification [PDF]
, 2013 Currency identification is the application of systematic methods to determine authenticity of questioned currency. However, identification analysis is a difficult task requiring specially trained examiners, the most important challenge is automating the ...
Chambers, J, Garhwal, A, Yan, W-Q
core +1 more source
Autonomous Learning Multi-Model Classifier of 0-Order (ALMMo-0) [PDF]
, 2017 In this paper, a new type of 0-order multi-model classifier, called Autonomous Learning Multiple-Model (ALMMo-0), is proposed. The proposed classifier is non-iterative, feedforward and entirely data-driven.
Angelov, Plamen Parvanov, Gu, Xiaowei
core +2 more sources
0.001% and counting: Revisiting the price rounding tax
Contemporary Economic Policy, EarlyView.Abstract In 1991 and 2008, Israel abolished the equivalents of 1¢ and 5¢ coins, respectively, effectively eliminating low‐denomination coins and introducing rounding in cash transactions. When totals were rounded up, shoppers incurred a small rounding tax.
Doron Sayag, Avichai Snir, Daniel Levy
wiley +1 more source
Aplikasi Deteksi Nilai Uang Pada Mata Uang Indonesia Dengan Metode Feature Matching [PDF]
, 2017 Banknote can\u27t be detected and recognized by blind people.Application for banknote recognition, which can run on Androidsmartphone with camera, is made in this paper to help blind people.Indonesian Rupiah(IDR) is used as a working example.
Khoharja, G. (Giovinna) +2 more
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