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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can i get abstract for the following topic which has been given by you.

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i m working on Matlab based Handwriting recognition project.
i hv nit too mch knwldge of Matlab.so pls snd me source code and algorithms
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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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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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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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Brain tumour detection using FVF contour model
PLS give me the pptdgffdsdfgfdhfdbhfdgbdf
pls gve me the ppt for brain tumour dection using image processing.... ....etc

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Handwriting recognition


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-ba ....etc

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NEURAL NETWORK ARCHITECTURE FOR RECOGNITION OF RUNNING HANDWRITING

Abstract
Handwriting recognition has been a problem that computers are not efficient good at. This is obviously due to the varying writing styles that exist. Today, efficient handwriting recognition is limited to ones using hardware like light pens where in the strokes are directly detected and the character recognized. But if you want to convert a handwritten document to digital text, we have to extract the characters and then recognizing the e ....etc

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