Abstract:
This report presents a real-time Bangladeshi currency detection system for visually
impaired person. The proposed system exploits the image processing algorithms to
facilitate the visually impaired people to prosperously recognize banknotes. The recent
banknotes of Bangladesh have blind embossing or blind dots, which could be effective to
recognize the value of the bill by touching. As the embossing fades away in the long-term
used notes, detecting right value of the banknote using image processing algorithms
could be considered as a challenging task. Particularly in Bangladesh, each banknote
seems similar using the direct exertion of simplified image processing algorithms. In this
paper, a recognition system was implemented that can detect Bangladeshi banknote in
different viewpoints and scales. The detection system is also able to detect currency those
are rumpled, decrepit or even worn. The detection system includes image preprocessing,
image analysis and image recognition. To enhance the determination of the currency
recognition, the descriptor of an individual input scene is matched with various training
images of same category. After that by analyzing their matching result it recognizes the
currency with higher confidence. For real time recognition, we have deployed the system
into a mobile application.
