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Title: Neural Networks for Handwritten character and Digits
Page Link: Neural Networks for Handwritten character and Digits -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:53:25 AM
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Neural Networks for Handwritten character and Digits
Abstract: This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you already understood some neural network concepts, like neurons, layers, weights, and back propagation. The neural network described here is not a general-purpose neural network, and it's not some kind of a neural network workbench. Rather, we will focus on one very specific neural network (a ....etc

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Title: Online Handwritten Script Recognition at java
Page Link: Online Handwritten Script Recognition at java -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:29:07 PM
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Online Handwritten Script Recognition at java

Abstract:
Automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents and search for documents on the Web containing a particular script. The increase in usage of handheld devices which accept handwritten input has created a growing demand for algorithms that can efficiently analyze and retrieve handwritten data. This paper proposes a method to classify words and lines in an online handwritten document int ....etc

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Title: ONLINE HANDWRITTEN SCRIPT RECOGNITION
Page Link: ONLINE HANDWRITTEN SCRIPT RECOGNITION -
Posted By: ripun.sood
Created at: Sunday 04th of April 2010 06:14:19 PM
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Hello sir.....online handwritten script recognition is my project topic.....i want all the information about this...please send all d info or some report on this topic.... ....etc

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Title: matlab code for feature extraction for word spotting in handwritten document
Page Link: matlab code for feature extraction for word spotting in handwritten document -
Posted By:
Created at: Monday 14th of January 2013 07:38:23 PM
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i want to find out the Feature extraction code in matlab for word spotting
like upper profile and lower profile ....etc

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Title: Online Handwritten Script Recognition
Page Link: Online Handwritten Script Recognition -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:48:42 AM
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Online Handwritten Script Recognition
Abstract: Automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents and search for documents on the Web containing a particular script. The increase in usage of handheld devices which accept handwritten input has created a growing demand for algorithms that can efficiently analyze and retrieve handwritten data. This project proposes a method to classify words and lines in an online handwritten document into one of the ....etc

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Title: Biometric Handwritten Signature Recognition
Page Link: Biometric Handwritten Signature Recognition -
Posted By: electronics seminars
Created at: Monday 30th of November 2009 06:56:49 PM
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Abstract:
This seminar a theoretical study of dynamic handwritten signature parameters that can be considered to improve the biometric lab system at ISY department. In the previous lab used x, y coordinates and pressure. Previous work was based on frequency distribution of signatures with simple hardware devices like a signing pen and tablet. Here considering some simple parameters like speed, acceleration, pen down time, distance, etc. Based on the literature studies we will discuss how these parameters can be used in the lab environment t ....etc

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Title: online handwritten script recognition
Page Link: online handwritten script recognition -
Posted By: project report tiger
Created at: Saturday 06th of February 2010 05:35:44 PM
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Online Handwritten Script Recognition

Automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents and search for documents on the Web containing a particular script. The increase in usage of handheld devices which accept handwritten input has created a growing demand for algorithms that can efficiently analyze and retrieve handwritten data. ....etc

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Title: Handwritten Signature Verification
Page Link: Handwritten Signature Verification -
Posted By: project report helper
Created at: Wednesday 13th of October 2010 06:27:04 PM
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Handwritten Signature Verification


ECE 533 – Project Report
by
Ashish Dhawan
Aditi R. Ganesan


Abstract

The fact that the signature is widely used as a means of personal verification emphasizes the need for an automatic verification system. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. We have worked ....etc

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Title: Handwritten Character recognisation
Page Link: Handwritten Character recognisation -
Posted By: vilas_sangre
Created at: Monday 19th of September 2011 01:28:38 PM
automatic number plate recognisation, matlab source code for handwritten offline english character recognition, handwritten document, face recognisation for the current topic samminar, seminar report of face recognisation technology, handwritten generator, handwritten,
Can any body send this project with abstract i am looking it for my sister ....etc

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Title: Krawtchouk Moment Feature Extraction for Neural Arabic Handwritten Words Recognition
Page Link: Krawtchouk Moment Feature Extraction for Neural Arabic Handwritten Words Recognition -
Posted By: seminar class
Created at: Monday 09th of May 2011 03:23:40 PM
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Summary
This paper proposes a new approach investigating the applicationof moment method to evaluate a set of candidate features and toselect an informative subset to be used as input data for a neuralnetwork classifier. The first step (pre-processing) of proposedmethod takes into account the discriminative properties ofinvariant krawtchouk moments. The second step (recognition) isachieved by using multilayer feedforward neural network(MFNN) as a classifier with the stochastic back propagation as alearning algorithm. Finite vectors obt ....etc

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