1.
“RECOGNITION OF CHARACTERS &DIGITS”
“Recognition of Assamese Vowels Consonants and
Digits”
Presented By:
Sri Uday Saikia(Roll no. xxxxxx

2.
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.


3.
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.

4.
GCR MODEL

5.
BACK GROUND INFORMATION

6.
PREPROCESSING

7.
ARCHITECTURE OF RACD
CHARACTERS AND DIGITS)
(RECOGNITION OF ASSAMESE

8.
ANN(ARTIFICIAL NEURAL NETWORK)

1. Biological Neuron

9.
HOW THE HUMAN BRAIN LEARNS?

Components of a neuron

10.

Synapse

11.

The Neuron Model

12.
A typical Feed-forward neural network model

13.
THE NEURAL NETWORK

14.
Training of characters using neural networks

15.

Regression of trained neural networks

16.
Training state of neural networks

17.
GRAPHICAL USER INTERFACE….