An Augmented Approach for Recognising Sri Lankan Currency Notes
B. Kogilawanee, Amirthalingam Ramanan · 2018
This paper proposes a system that augments different techniques in identifying distinct features of Sri Lankan currency notes enabling blind people to feel safety and confidence in financial dealing. The proposed system is developed with the release of new banknote series in Sri Lanka as a working example. The recognition process of the proposed system includes skew correction, feature extraction of colour and texture, and counting the number of heavily printed dots on the currency notes. The experimental results carried out in about 270 notes demonstrate an overall recognition rate of 96%.