Handwriting recognition using Tensorflow and Keras

Priya Dwivedi, Data Scientist at SpringML details the approach of handwriting detection using Machine Learning. Continue reading the article in Towards DataScience.


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.