Dataset of Spoilt Banknotes of India (Rupees)

Published: 17 July 2023| Version 4 | DOI: 10.17632/jh6979fg2t.4
Vidula Meshram, Kailas PATIL, Vishal Meshram, Yogesh Suryawanshi, prawit chumchu


Accurate Currency recognition and classification is one of the challenging tasks for visually impaired people. As the damaged banknotes are not accepted by vendors while doing financial transactions, thus it is necessary to classify between spoilt and unspoilt banknotes. With this objective we have created the Spoilt Indian (Rupees) bank-notes dataset. This dataset consists of total 5125 (2584 old banknotes and 2541 new banknotes) high quality images. Mobile phones rear camera was used to take the images of spoilt Indian banknotes. The bank-note dataset consists of 8 classes namely Spoilt New 10 Rupees, Spoilt Old 10 Rupees, Spoilt New 20 Rupees, Spoilt Old 20 Rupees, Spoilt New 50 Rupees, Spoilt Old 50 Rupees, Spoilt New 100 Rupees, and Spoilt Old 100 Rupees. The banknote images which were soiled, mutated, holed, torn were considered for dataset creation. The images were taken in dark and illuminated backgrounds as well in the cluttered background.



Computer Vision, Machine Learning, Image Classification, Convolutional Neural Network, Deep Learning