Hand Character Recognition

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