TY - JOUR
AU - 
AB - version 2 Visually impaired persons face challenges in running business activities, especially in handling banknotes. Malaysia researchers had (revision) view proposed some Ringgit banknotes recognition systems to aid visually 13 Apr 2022 impaired persons recognize and classify Ringgit banknotes. However, these electronic banknote readers can only recognize Malaysian version 1 Banknotes’ Ringgit value, they have no counterfeit detection features. 29 Oct 2021 view view The purpose of this study is to develop a banknote reader that not only can help visually impaired persons recognize the banknote value, 1. Neeraj Dhanraj Bokde , Aarhus but also to detect the counterfeit of the banknote, safeguarding their losses. This paper proposed a Malaysian banknote reader using University, Aarhus, Denmark backlight mechanism and image processing techniques to read and detect counterfeit for one Ringgit and five Ringgit Malaysian 2. Haidi Ibrahim, Universiti Sains Malaysia, banknotes. The developed handheld banknote reader used visual type Nibong Tebal, Malaysia sensor to capture banknote image, passed to raspberry pi controller to perform image processing on banknote value and the extracted Any reports and responses or comments on the watermarks features. The developed image processing algorithm will article can be found at the end of the article. trace 
TI - One Ringgit and five Ringgit Malaysian banknotes reader using backlight mechanism and image processing techniques
JF - F1000Research
DO - 10.12688/f1000research.58446.1
DA - 2021-10-29
UR - https://www.deepdyve.com/lp/unpaywall/one-ringgit-and-five-ringgit-malaysian-banknotes-reader-using-k3qcRKUxRa
DP - DeepDyve
ER -