Optical character recognition

Title:OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS Abstract: The Optical Character Recognition (OCR) is becoming popular areas of research under pattern recognition and smart device applications. It requires the intelligence like human brain to recognize the various handwritten characters. Artificial Neural Network (ANN) is used together the information required to recognize the characters adaptively. This paper presents a performance analysis of character recognition by Scale

proper procedure of writing a specific character and obtain precise strokes. There would also a field references or guidelines for line and cursive character in the every letter of alphabet. Error messages, if used, need to be in a simple English language that the children can easily understand. A different level of practicing is considered to be sure that children will be able to take hold of the writing technique through gif images that shows how characters should be constructed properly.

a selected few image processing applications. Optical Character Recognition is the translation of images of handwritten, typewritten or printed text into machine-editable text. Then I have introduced the captcha that we so frequently encounter in common websites. An algorithm trying to solve or break a captcha has been explained. Face detection is a growing and an important tool in security these days. It must be applied before face recognition. There are many methods for recognizing faces

newspaper. 1.1.2: Machine translation [b]: Automatically translate language from one human to another human. 1.1.4 Optical Character Recognition [b]: Optical Character Recognition is a process mechanical or electronic conversion of scanned or photographic image of typewritten or printed text into machine encode or computer readable text. 1.1.4 Speech recognition [b]: In speech recognition take a sound clip of the person and determine the textual representation of speech. 1.1.5 Speech segmentation [b]:

levels of management to make decisions about a company. Every year technology continues to change and new technology and software trends emerge. Over the past decade Optical Character Recognition has become an emerging technology and is now being used in many fields to aid businesses and business processes. Optical character recognition (OCR) is a technology that allows images of handwritten and typed text to be transferred into machine-encoded text that can then be downloaded into an enterprise data

extract pattern from the characters and then use this data to train artificial neural network.This system is very successful in recognition of handwritten characters. Hence this system will be suitable to convert handwritten text into text document. Introduction : Optical Character Recognition is one of the most researching field in recent years. It has numerous applications in the field of automation and advancement of machine interface with man. Handwritten recognition is one of the challenging

To enhance the security of automated financial transactions, current technologies in both speech recognition and handwriting recognition are likely ready for mass integration into financial institutions. RESEARCH PROJECT TABLE OF CONTENTS Introduction 1 Purpose 1 Source of Information 1 Authorization 1 Overview 2 T he First Steps 3 Computer-Synthesized Senses 4 Visual Recognition 4 Current Research 5 Computer-Aided

INPUT AND OUTPUT DEVICES In computing, input/output, or I/O, refers to the communication between an information processing system (such as a computer), and the outside world possibly a human, or another information processing system. Inputs are the signals or data received by the system, and outputs are the signals or data sent from it. The term can also be used as part of an action; to "perform I/O" is to perform an input or output operation. I/O devices are used by a person (or other system) to

1. INTRODUCTION 1.1. Introduction to broad area of research Image processing: Image processing is a methodology to perform some operations on an image, so as to urge an enhanced image or to extract some helpful data from it. It is treated as an area of signal processing where both the input and output signals are images. Images are portrayed as two dimensional matrix, and we are applying already having signal processing strategies to input matrix. Images processing finds applications in several fields

Abstract—Character Recognition by machines is an innovative way by which the dependence on manpower is reduced. Character recognition provides a reliable alternative of converting manual text into digitized format. Now-a-days, as technology becomes integral part of human life, many applications have enabled the incorporation of English OCR for real time inputs. The advantages that the English alphabet has is its simplicity offered by less number of letters i.e. 26 and easier classification due to