i need ocr prject report specilly design phase ....etc

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A Project Report on OMNI FONT recognition in Indian language OCR

Presented by
Ravi Kant Yada
Master of Technology
Computer Science & Engineering
Guru Gobind Singh Indraprastha University
Kashmere Gate, Delhi

ABSTRACT
Most of the Indian language electronic data are Unicode encoded. Processing Unicode data is quite straight forward because it follows distinguished code ranges for each language and there is a one-to-one correspondence between characters. Hence it becomes necessary to identify the font enc ....etc

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OCR BASED AUTO NAVIGATION OF ROBOT BY READING THE SIGN BOARD



ABSTRACT

Navigation of robot using signboard. The signboard is placed in the environment as landmark to decide the robot's next path. The signboard is designed such that the robot can perform key functions: the signboard detection, identification. Autonomous navigation of mobile robots in wide area as well as cooperative operations requires many signboards with unique identification pattern. Our color signboard allows the robot ....etc

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Abstract
India is a multi-lingual, multi-script country. Considerably less work has been done towards handwritten character recognition of Indian languages than for other languages. This dissertation describes an optical character recognition system for printed text documents in Kannada, a South Indian language. The input to the system would be the scanned image of a page of text and the output is a machine editable file compatible with most typesetting software. The system first extracts words from the document image and then segmen ....etc

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DEVANAGARI OCR SYSTEM:-An Optical Character Recognition (OCR) system to recognize a wide variety of fonts in Devanagari Script. Though a multitude of products are available for character recognition in Roman script, very few, if any, are available for Devanagari. Whatever work has been done, it has mostly been a part of some academic project and hence they are not useful for any practical application. The major areas of application of Devanagari character recognition would be in following areas- 1. Digitizing existing government documen ....etc

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Abstract
An OCR system constitutes a natural way of providing input to a machinetranslation system. The document is optically scanned. The front end OCR systemextracts text zone and reads the text. The translator, when presented with recognizedsource text, produces a corresponding document with the text content translated in thespeci_ed language.Indian scripts are two dimensional composition of symbols. Therefore, a textreading system, _rst segments the text into symbols. The segmented units are classi-_ed with the help of p ....etc

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OCR for Script Identification of Hindi (Devnagari) Numerals using Feature Sub Selection by Means of End-Point with Neuro-Memetic Model
Abstract
Recognition of Indian languages scripts ischallenging problems. In Optical Character Recognition , acharacter or symbol to be recognized can be machine printed orhandwritten characters/numerals. There are several approaches thatdeal with problem of recognition of numerals/character depending onthe type of feature extracted and different way of extracting them.This paper proposes a recogni ....etc

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Optical Character Recognition



Summary
Character recognition techniques associate a symbolic identity with the image of character.
Character recognition is commonly referred to as optical character recognition (OCR),
as it deals with the recognition of optically processed characters. The modern version of
OCR appeared in the middle of the 1940’s with the development of the digital computers.
OCR machines have been commercially available since the middle of the 1950’s. ....etc

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Unicode OCR using Artificial Neural Network methods

This project will recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.

The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handw ....etc

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