ABSTRACT
The
project titled “HANDWRITTEN_TOREVIEW” is
designed using .NET with Microsoft Visual Studio.Net 2005 as front end which
works in .Net framework version 2.0. The coding language used is C# .Net.
This project deals with developing an
artificial neuron and creating a neural network, make it learn using some
algorithm to identify Hand written characters. This
application consists of a 'Controls' component which provides 'Drawing
Box' and 'Letter Box' controls, and also defines a set of classes which can be
used to develop applications which require handwritten (mouse-drawn) images as
inputs. The 'OCR' component makes use of created ANN and the 'Controls'
component to recognize mouse-drawn capital letters of English alphabet.
PURPOSE OF
THE PROJECT
This Software is used is to recognize the handwritten
English character by using neural network. The handwritten characters have
infinite variety of style varying from person to person. Due to this wide range
of variability, it is very difficult for a machine to recognize a handwritten
character.
For example: Handwriting terminals such as the Pencept Penpad and the Inforite
point-of-sale terminal. With the advent of the large consumer market for
personal computers, several commercial products were introduced to replace the
keyboard and mouse on a personal computer with a single pointing/handwriting
system, such as those from PenCept, CIC and others.
PROBLEM IN EXISTING
SYSTEM
Currently, in the market
there is no software that runs on both PC and PDA/Smart phone which can detect
the face in a picture with very minimal
changes. If we take desktop level applications that detect the face, the applications are based on some comparison
algorithm which runs on some standard logic whose pattern matching capabilities
and success rates are fixed. If the software needs a fine tuning, the logic has
to be modified and the code needs to be rebuilt which is again expensive.
HARDWARE
REQUIREMENTS:
·
P4 Processor
·
512 MB RAM
·
Secondary memory of 20 – 50 MB
Software requirements:
·
Microsoft Framework 2.0,
·
Microsoft C# 2.0
·
Microsoft Visual Studio 2005 IDE
·
Microsoft Windows 2000 SP4 or higher