Priya Dwivedi, Data Scientist at SpringML details the approach of handwriting detection using Machine Learning. Continue reading the article in Towards DataScience.
Excerpts:
Handwriting recognition aka classifying each handwritten document by its writer is a challenging problem due to the huge variation in individual writing styles. The traditional approach to solving this would be to extract language-dependent features like curvature of different letters, spacing b/w letters etc. and then use a classifier like SVM to distinguish between writers. In the blog, I want to demonstrate a deep learning based approach to identifying these features. We will pass small patches of handwritten images to a CNN and train with a softmax classification loss.
