Abstract:-
This report explores the application of neural networks to the problem of identifying optically scanned characters in an automated manner.
Input:- scanned images of printed text.
Classification:-Use input values to determine the classification. i.e. is the input the letter A? Data Filtering:-Smooth an input signal.
i.e. noise filtering if any.
Output:-Computer r ....etc

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ADOBE DREAMWEAVER CS4 TUTORIAL


Before you get started, it is important that you have a space to upload your Web site
When it is completed. BGSU offers 15 MB of free personal Web space for each
student, so you can use this space to upload your project.
To activate your personal Web space, follow these steps:
1. Log onto your MyBGSU Account.
2. Scroll to the bottom of the page to find the My Computer Accounts box (Fig. 1).
3. Click the Add Server Account button.
....etc

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“Segmentation of Optical Character Recognition”
ABSTRACT
OCR system converts scanned input document into editable text document. This report presents the detailed description about the characteristics of Devanagari Script .How it is different from the other roman scripts. And what makes the OCR for any roman script different from the OCR for Devanagari script. The various stages of an OCR system are: upload a scanned image from the computer, segmentation process in which we extract the text zone from the image, ....etc

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Abstract
Image Processing is now a days considered to be a favorite topic in the IT industry. One of its major applications is Optical Character Recognition (OCR). When the object to be matched is presented then our brains or in general recognition system starts extracting the important features of the object that includes color, depth, shape & size. These features are stored in the part of the memory. Now the brain starts finding the closest match for these extracted features in the whole collection of objects, which is already stored in it. ....etc

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SOurce code for number plate recognition with optical ....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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Neural network mechanisms are a relatively new and developing science in computer technologies. The particular area derives its basis from the way neurons interact and function in the natural animal brain, especially humans. The animal brain is known to operate in massively parallel manner in recognition, reasoning, reaction and damage recovery. All these seemingly sophisticated undertakings are now understood to be attributed to aggregations of very simple algorithms of pattern storage and retrieval. Neurons in the brain communicate with one a ....etc

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Please provide me the optical character recognition and image processing . ....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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Sample Adobe PDF document


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