Handwritten character recognition is a
challenging classification task that has been studied extensively and remains an active area of
research. The toughness in the task arises due to the large variability that arises
amongst handwritten characters in the form of shape and size of character, the thickness of
strokes, edges and curvatures
The character set that we have considered consists of the 62 alphanumeric characters in English {0- 9, a-z, A-Z}.
In this project, we aim to produce comparative results obatined by trying out several of the
existing methods for classification.