A software for visually impaired that helps them recognize various Indian currency denominations of Rs.
50, Rs. 100, Rs. 500 and Rs. 1000
The software helps classify the input
currency denomination into Rs. 50, Rs. 100, Rs. 500 and Rs. 1000. The motivation behind the software was to
finally embed it in a hardware prototype so that visually impaired community could use this tool to
differentiate between various denominations of currency to carry out their day to dat exchange of money. I
was the sole developer for this piece of software.
Bag Of Words algorithm is used to
implement this software; SIFT descriptor is used to retain the key point features. Bag of Words algorithm
helps in plotting a histogram of occurrence of keypoints. These histograms are then send to 1-v/s-all SVM
classifier. The vocabulary trained is 1000 feature-long. The classifier is trained on 1000 images and tested
on 700 images. The average accuracy of the module is 88.25%.