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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Neural Networks for Unicode Optical Character Recognition
Abstract: 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 handwritten text recognition in handheld devices. The classic difficulty of being able to correctly recognize even typed optical language symbols is the complex irregularity among pictorial representations of the same c ....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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Definition

Unicode provides a unique number for every character,
no matter what the platform,
no matter what the program,
no matter what the language.

Fundamentally, computers just deal with numbers. They store letters and other characters by assigning a number for each one. Before Unicode was invented, there were hundreds of different encoding systems for assigning these numbers. No single encoding could contain enough characters: for example, the European Union alone requires several different encodings to cover all its languages. Ev ....etc

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migration of a 4GL and relation data base to unicode

This technical presentation will describe the migration of an existing multi-platform, international, n-tier, relational DBMS and its 4GL programming language to support Unicode. As the migration strategy is based on existing support for double-byte character sets, this approach should be especially interesting for Asian developers.

Technical decisions and tradeoffs made during the design process and some of the implementation tactics used, will be presen ....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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Unicode

Unicode is an accepted international standard for 16-bit encoding of characters so providing support for an extensive range of character sets including Japanese and Chinese. Many modern software products claim to be Unicode capable in the anticipation of the wider use of Unicode. However currently there do not appear to be any significant Unicode text products available. The project is to investigate Unicode and the requirements of software to edit and print Unicode enco ....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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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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