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Optical Character Recognition Using Neural Networks


Posted by: smart paper boy
Created at: Tuesday 16th of August 2011 04:51:44 AM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:12 PM
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t makes no prior assumptions on the language of the text, and it should be possible to extend it to other alphabets.
Introduction:-
We humans have the ability for optical character recognition. In other words, we can differentiate between different characters and recognize them as an A, or B and so on. Can we imbed such ability in software and if we can, how can we?
If we try to understand what exactly happens when we are reading, we will realize that when we see the printed paper an image gets formed on the retina of the eye, some signals are sent to the brain and the brain cells ca..................[:=> Show Contents <=:]



Face Recognition Using Artificial Neural Networks


Posted by: nit_cal
Created at: Saturday 31st of October 2009 04:58:30 AM
Last Edited Or Replied at :Saturday 20th of April 2013 12:55:41 AM
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31]..................[:=> Show Contents <=:]



Image Processing - Optical Character Recognition


Posted by: nit_cal
Created at: Friday 30th of October 2009 05:13:15 AM
Last Edited Or Replied at :Wednesday 09th of March 2011 02:48:36 AM
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the whole collection of objects, which is already stored in it. This we can refer as standard library. When it finds the mat..................[:=> Show Contents <=:]



Neural Networks for Unicode Optical Character Recognition


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:57:50 AM
Last Edited Or Replied at :Thursday 20th of October 2011 11:29:03 PM
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uage symbols is the complex irregularity among pictorial representations of the same character due to variations in fonts, styles and size. This irregularity undoubtedly widens when one deals with handwritten characters.
Hence the conventional programming methods of mapping symbol images into matrices, analyzing pixel and/or vector data and trying to decide which symbol corresponds to which character would yield little or no realistic results. Clearly the needed methodology will be one that can detect Ëœproximityâ„¢ of graphic representations to known symbols and make decisions based on..................[:=> Show Contents <=:]



Emerging Trends In Robotics Downlaod Seminar Report


Posted by: Computer Science Clay
Created at: Thursday 30th of July 2009 06:46:58 AM
Last Edited Or Replied at :Thursday 30th of July 2009 06:46:58 AM
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robot, but also to allow robots to effectively work via sensors and actuators in dynamic environments.

The field of robotics has its origin in science fiction, the term ROBOT was derived from the English translation of a fantasy play written in Czecholosolvakia around 1920. It took another 40 years before the modern technology of industrial ROBOTS began. Today robots are highly automated mechanical manipulators controlled by computers.

First, let™s decide what a ˜robot™ is. To be a robot, it should have the ability to think “ make decisions. This may sound hard

I..................[:=> Show Contents <=:]



Cellular Neural Network


Posted by: Computer Science Clay
Created at: Tuesday 24th of February 2009 12:56:26 PM
Last Edited Or Replied at :Sunday 21st of November 2010 10:46:10 PM
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(I,j,k,l) Ykl + B(i,j,k,l) + Zij..................[:=> Show Contents <=:]



Industrial Applications using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:08:04 AM
Last Edited Or Replied at :Thursday 05th of August 2010 12:43:13 PM
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ss monitoring and control systems applications
The pressure on the Process Industries to improve yield, reduce wastage, eliminate toxins and above all increase profits makes it essential to increase the efficiency of process operations. One possible approach for achieving this is through the improvement of existing process monitoring and control systems.Many process monitoring and control schemes are based upon a representation of the dynamic relationship between cause and effect variables. In such schemes, this representation is typically approximated using some form of linear dynamic model,..................[:=> Show Contents <=:]



Transient Stability Assessment using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:07:56 AM
Last Edited Or Replied at :Tuesday 19th of October 2010 05:02:49 AM
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is smaller than Vcr the system will reach a stable equilibrium point.

Pattern recognition :
The main objective of the pattern recognition method is transient stability assessment is to reduce computational requirements to minimum this is done at the expense of elaborate off line computations. The methodology of pattern recognition consists of defining a pattern vector x whose components contain all significant variables of the system. This vector is evaluated at many representative-operating conditions to generate training set. If some component of the pattern vector or strongly correl..................[:=> Show Contents <=:]



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