Devanagari Character Recognition

Project Code :TCMAPY844

Objective

The primary goal of this project is to presents an efficient Devanagari character classification model.

Abstract

Devanagari character recognition is the ability of a computer to receive and interpret handwritten input from sources such as paper documents, photographs, touch-screens and other devices. Handwritten Devanagari Characters are more complex for recognition than corresponding English characters due to many possible variations in order, number, direction and shape of the constituent strokes. The main purpose of this project is to introduce a new method for recognition of handwritten Devanagari characters using Segmentation, Image Processing and Artificial Intelligence. The whole process of recognition includes two phases- segmentation of characters into line, word and characters and then recognition through feed-forward neural network.

Keywords:  Deep learning, ANN, SVM

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:

Processor - I3/Intel Processor

Hard Disk - 160GB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

RAM - 8GB


Software Requirements:

Operating System :  Windows 7/8/10

Server side Script         :  HTML, CSS, Bootstrap & JS

Programming Language     :  Python

Libraries        :  django, Pandas, Smtplib, Numpy

IDE/Workbench        :  PyCharm

Technology        :  Python 3.6+


Demo Video

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