One Ringgit and five Ringgit Malaysian banknotes reader using backlight mechanism and image processing techniques
Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong, Haidi Ibrahim, Wai Kit Wong, Neeraj Dhanraj Bokde, Wai Kit Wong
TL;DR
This paper presents a banknote reader for visually impaired people in Malaysia that can identify and detect counterfeit one and five Ringgit notes using image processing and a backlight mechanism.
Contribution
The novelty is a handheld banknote reader that combines value recognition and counterfeit detection for Malaysian Ringgit notes.
Findings
The system successfully identifies one and five Ringgit banknotes using watermark features.
The reader detects counterfeit notes by analyzing see-thru windows and other security features.
Experimental results show high accuracy with detailed analysis of false positives and false negatives.
Abstract
Visually impaired persons face challenges in running business activities, especially in handling banknotes. Malaysia researchers had proposed some Ringgit banknotes recognition systems to aid visually impaired persons recognize and classify Ringgit banknotes. However, these electronic banknote readers can only recognize Malaysian Banknotes’ Ringgit value, they have no counterfeit detection features. The purpose of this study is to develop a banknote reader that not only can help visually impaired persons recognize the banknote value, but also to detect the counterfeit of the banknote, safeguarding their losses. This paper proposed a Malaysian banknote reader using backlight mechanism and image processing techniques to read and detect counterfeit for one Ringgit and five Ringgit Malaysian banknotes. The developed handheld banknote reader used visual type sensor to capture banknote image,…
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Taxonomy
TopicsCurrency Recognition and Detection