Detect Fraud Bank Checks with a Simplified Image Multi-threshold Decision Processing Algorithm

Autor:	Ying Bai, Dali Wang
Rok vydání:	2021
Předmět:	Scanner Correctness Computer science Image processing Cashier's check MATLAB computer Algorithm Toolbox Image (mathematics) computer.programming_language
Zdroj:	Advances in Decision Science and Management ISBN: 9789811625015
DOI:	10.1007/978-981-16-2502-2_46
Popis:	This research is to design and build an image processing algorithm to quickly and easily detect a fraud or altered bank check in real time. A MATLAB Image Processing Toolbox is used to assist this study to quickly detect any fraud or altered bank check with the help of an ATM scanner when a fraud or altered check is deposited via an ATM. The testing and validation processes have been performed to confirm the effectiveness and correctness of this detecting algorithm. The current correct detecting rate is about 92.5% for checks deposited via ATMs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a22108b1d0046de6044b2295d8e71044 https://doi.org/10.1007/978-981-16-2502-2_46 Zobrazit plný text záznamu