Character Recognition Using Neural Networks

Character Recognition Using Neural NetworksSteps to use this GUI.1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press... Platforms: Matlab

This demo shows the recognition stage for the character recognition. This example come with a GUI with a trained network for handwritting recognition. The step-by-step explanation can be found at:http://basic-eng.blogspot.com/ Platforms: Matlab

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks... Platforms: Windows

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB Platforms: Matlab

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,... Platforms: Matlab

GOCR is an OCR (Optical Character Recognition) program, developed under the GNU Public License. It converts scanned images of text back to text files. Joerg Schulenburg started the program, and now leads a team of developers. GOCR can be used with different front-ends, which makes it very easy... Platforms: *nix

This set of programs correspond to demos, exercises, and implementations of algorithms described inAbdi H. (1994) Les Reseaux de Neurone (in French) andin (in English)Abdi, Valentin, Edelman (1999) Neural Networks. SageThese include:Linear auto and hetero associators, radial basis function... Platforms: Matlab

Convert your scanned images to text files or Word documents with SimpleOCR--the OCR (Optical Character Recognition) application that is completely free. SimpleOCR is also a royalty-free developer toolkit (aka SDK or API) that you may use to add OCR to your custom software application.... Platforms: Windows

GNU Ocrad is an OCR (Optical Character Recognition) program implemented as a filter and based on a feature extraction method. Also includes a layout analyser able to separate the columns or blocks of text normally found on printed pages. Ocrad can be used as a stand-alone console application,... Platforms: *nix

dANN library can help create artificial neural networks within other programs. It is currently written in Java, C++, and C#. However, C++ and C# versions can only be obtained through the SVN at the moment. Also, the C++ and C# versions are not properly documented and cleaned up, although they... Platforms: *nix

OCRE application is an optical character recognition (OCR) system that reads an image file and writes ASCII or Unicode characters. Languages: English, French, Polish, Spanish Installation: unpack the file ...tgz (tar xzvf ...) # vi config.h instala # you can change the directory for the... Platforms: *nix

Flippagemaker Free OCR Converter is 100% free Optical Character Recognition Software for Windows and supports scanning documents from scanner and extract characters from the scanned images. It is as well as available to popular image formats such as JPG, PNG, GIF, and so on. It helps to get plain... Platforms: Windows

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of... Platforms: Matlab

OCRFeeder is a document layout analysis and optical character recognition system. Given the images it will automatically outline its contents, distinguish between what's graphics and text and perform OCR over the latter. It generates multiple formats being its main one ODT. Platforms: *nix

Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class. Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter... Platforms: Matlab

This demo shows some examples for image pre-processing before the recognition stage. the first example is just some commnads of image processing which are commonly used for preprocessing, while the second example shows how to use the simple command to automate the image processing stage... Platforms: Matlab

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA. Platforms: Windows, Mac, Linux

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported. Platforms: Windows, Mac, Linux

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more... Platforms: Matlab