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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

This project is about developing a web based mail client connecting to a Linux Server running a Mail Server and with Tomcat
as the Web Server.

The Project has the following main functionality
1. Receiving/Sending/organizing mails using POP3
2. Sending mail using send mail
3. Performing Admin functions like managing new user, resetting passwords etc ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

The suit wearing gunman was killed after shooting at and injuring two Pentagon police officers. The shooting occured during the evening rush-hour outside the metro station entrance. As he neared the security checkpoint Bedell was reported to appear to be pretty calm.
We never went without food or clothing. In fact, we dressed better than many of our neighbors and classmates. We never went to bed hungry.
The idea of using mammals as mobile factories is now being tried out at Ohio University, where Wagner and his colleagues recently impla ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]