Assamese Handwritten Digits

This dataset comes up as a benchmark dataset for machines to automatically recognizing the handwritten assamese digists (numerals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. We have collected a total of 516 handwritten digits from 52 native assamese people irrespective of their age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which automatically saves the images in the internal storage of the mobile. The images are of variable size and are further modified as per requirment. It contains a total of 516 images, among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set. 

The Convolutional Neural Networks are extensively used for the purpose of classification as it can learn millions of internals features automatically and perform classification.