artificial neural network / hand written character recognition

“RECOGNITION OF CHARACTERS &DIGITS”

“Recognition of Assamese Vowels Consonants and Digits”

Presented By:

Sri Uday Saikia(Roll no. xxxxxx

PROJECT OVERVIEW: one of the challenging computational processes. There is competition between the speed and

efficiency. The human mind can easily decipher these

handwritten characters easily, accurately and speedily.

The human mind can do it because of the presence of densely neural network in his mind.

DEVELOPMENT OF RACD SYSTEM

The problem defines in the acquisition process of an RACD system can be justified by training of neural networks in reconstruction of Assamese characters & Digits. First of all, the system by offline handwritten different shapes of Assamese characters is taught. On the basis of this image model database, character sets are matched and classify the reconstructed image.

GCR MODEL

BACK GROUND INFORMATION

PREPROCESSING

ARCHITECTURE OF RACD (RECOGNITION OF ASSAMESE CHARACTERS AND DIGITS)

ANN(ARTIFICIAL NEURAL NETWORK)

1. Biological Neuron

HOW THE HUMAN BRAIN LEARNS?

Components of a neuron

Synapse

The Neuron Model

A typical Feed-forward neural network model

THE NEURAL NETWORK

Training of characters using neural networks

Regression of trained neural networks

Training state of neural networks

GRAPHICAL USER INTERFACE….