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Title: An Off-Line Unconstrained Handwriting Recognition System
Page Link: An Off-Line Unconstrained Handwriting Recognition System -
Posted By: seminar projects crazy
Created at: Saturday 13th of June 2009 07:06:39 PM
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The recognition of off-line unconstrained handwriting is one of the most challenging and interesting problems in Optical Character Recognition (OCR). Although many research have been done in this field for about 40 years, a number of problems are still open to us. In this seminars, an integrated recognition system for off-line unconstrained handwriting is proposed. The proposed system consists of seven main modules: skew angle correction, printed-handwritten text discrimination, line segmentation, slant correction, word segmentation, character ....etc

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Title: source code for offline handwriting recognition in matlab for genetic algorithm
Page Link: source code for offline handwriting recognition in matlab for genetic algorithm -
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Created at: Thursday 25th of May 2017 08:41:00 PM
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Title: ieee paper on gi fi technology free dwnload
Page Link: ieee paper on gi fi technology free dwnload -
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Created at: Monday 23rd of February 2015 12:16:17 AM
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Title: offline handwriting recognition using genetic algorithm matlab code
Page Link: offline handwriting recognition using genetic algorithm matlab code -
Posted By:
Created at: Friday 23rd of November 2012 07:59:57 PM
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Title: Handwriting Recognition
Page Link: Handwriting Recognition -
Posted By: computer science topics
Created at: Tuesday 15th of June 2010 07:12:11 PM
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Abstract:
Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed off line from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed on line, for example by a pen-based computer screen surface.
The feed forward Back Propagation Neural Network (BPNN) ....etc

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Title: offline handwriting recognition algorithm using matlab
Page Link: offline handwriting recognition algorithm using matlab -
Posted By:
Created at: Monday 17th of April 2017 05:25:31 AM
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Title: difference between smart quill smart note taker
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Created at: Friday 27th of September 2013 02:20:02 AM
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Title: matlab code offline handwriting recognition using genetic algorithm
Page Link: matlab code offline handwriting recognition using genetic algorithm -
Posted By:
Created at: Wednesday 27th of February 2013 06:07:53 PM
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Title: An Off-Line Unconstrained Handwriting Recognition System
Page Link: An Off-Line Unconstrained Handwriting Recognition System -
Posted By: computer science crazy
Created at: Thursday 03rd of September 2009 07:33:57 PM
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The recognition of off-line unconstrained handwriting is one of the most challenging and interesting problems in Optical Character Recognition (OCR). Although many research have been done in this field for about 40 years, a number of problems are still open to us. In this seminars, an integrated recognition system for off-line unconstrained handwriting is proposed. The proposed system consists of seven main modules: skew angle correction, printed-handwritten text discrimination, line segmentation, slant correction, word segmentation, character ....etc

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Title: Offline Handwriting Recognition Using Genetic Algorithm
Page Link: Offline Handwriting Recognition Using Genetic Algorithm -
Posted By: project uploader
Created at: Monday 06th of February 2012 03:03:46 PM
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Offline Handwriting Recognition Using Genetic Algorithm
Introduction
Handwriting Recognition:
Handwriting recognition is the ability of a computer to receive and interpret  handwritten input from sources such as paper documents, photographs, touch-screens and other devices. 
Offline handwriting recognition refers to the recognition technique where the final figure is given to us.
OVERVIEW:
ARTIFICIAL NEURAL NETWORKS:
Artificial Neural Networks involve training of the system with all the
Characters.
....etc

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