ARTIFICIAL NEURAL NETWORKS BASED
DEVNAGRI NUMERAL RECOGNITION BY USING S.O.M
ABSTRACT:
In the present paper the proposed system is self organizing map method used to recognize the Devanagiri characters. The som is trained for hundred handwritten devangri characters. The som is trained for hundred hand written devanagari numerals. The Network was tested for different parameters such as o/p nodes, neighborhood size, no of cycle. The process of training was repeated for number of times.
INTRODUCTION:
We begin by consid ....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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Optical Character Recognition(OCR )



What is OCR?
OCR is the acronym for Optical Character Recognition. This technology allows a machine to
automatically recognize characters through an optical mechanism. Human beings recognize many objects
in this manner our eyes are the optical mechanism. But while the brain sees the input, the ability to
comprehend these signals varies in each person according to many factors. By reviewing these variables,
we can understand the challen ....etc

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We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.


A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural network arc ....etc

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I am a final year undergraduate student.I have started my pre-thesis and the topic is developing an OCR for Bangla language from an image/pdf file.I need to know on which platform and language I can do it.I need to do it with pattern recognition as there will not be font issue after I captured an image of a writing. ....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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Hi guys,

i am working with Hindustan times newspaper located in New Delhi,India.

we are planning to buy the ocr software, our requirement is to convert the handwritten ,jpg and pdf Hindi material into doc format in hindi 4c text.so i
would request you to provide us a demo so that we can get an idea how it will work in real time.

[si ....etc

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hi, i am doing project on fpga character recognition. please send me the source code in vhdl to read and processing the characters in fpga ....etc

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Optical character recognition (OCR) is the translation of optically scanned bitmaps of printed or written text characters into character codes, such as ASCII. This is an efficient way to turn hard-copy materials into data files that can be edited and otherwise manipulated on a computer. This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effec ....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 segment ....etc

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