Handwritten Character Recognition using Deep Learning Approach


Deep learning is a new area of machine learning research which has been introduced with the objective of moving machine learning closer to one of it’s goal i.e artificial intelligence.

There are various applications of deep learning. In this project we use deep learning for hand-written character  recognition.

The challenges associated with hand-written character recognition are- word and line seperation,segmentation of words into  characters, recognition of words when lexicons are large, and the use of the language models in aiding preprocessing and recognition, character extraction , types of hand writing, number of scriptors, size  of vocabulary and spatial layout.

We would like to attempt them with deep learning. Multi-layer with layer wise abstraction will be used for this purpose.



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