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RAVL, Recognition And Vision Library.

RAVL, Recognition And Vision Library.
General C++ Library, with modules for Computer Vision, Pattern Recognition and much more.General C++ Library, with modules for Computer Vision, Pattern Recognition and much more.

Modular Audio Recognition Framework

Modular Audio Recognition Framework
and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.

Leaves Recognition

A neuronal network based image recognition application that aims on the automatic recognition of tree species ... With help of this application botanists can then identify different species....

PCA-based Face Recognition System

This package implements 'Eigenface', a PCA-based face recognition system. Application. face recognition, eigenface, appearance-based method, PCA

Karhunen-Loeve Decomposition for Statistical Recognition and Detection

Karhunen-Loeve Decomposition for Statistical Recognition and Detection
This MATLAB script implements Karhunen-Loeve decomposition which is classical algorithm for face recognitionKarhunen-Loeve Decomposition for Face Recognition Image Analysis. Karhunen, Loeve, Face, Recognition, PCA

Handwritten Number Recognition

Handwritten Number Recognition
A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java.

M68331 Voice Recognition System

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

AFNER Named Entity Recognition system

AFNER is a C++ named entity recognition system that uses machine learning techniques. It is customisable to various domains. It also allows for multiple and overlapping named entity labels.

Optical Character Recognition (GOCR)

Optical Character Recognition (GOCR)
This is a command line based optical character recognition program.This is a command line based optical character recognition program.

IDEAL (formerly LANS) Pattern Recognition Toolbox

Automated simulation (and report generation) lans-regress - Regression routines lans-patrec - Pattern recognition routines lans-pose - Pose estimation routines (custom) lans-nn - Unsupervised

Ultimate Face Recognition v 2.0

Ultimate Face Recognition v 2.0
an excellent face recognition and detection software. Application. face recognition eigenface parallel port mean image

Morphological Shared-Weight Neural Network for Face Recognition

We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN Image Analysis. MSNN face recognition morphological shared-weight neural network

Recognition of Playing Cards with webcam

Recognition of playing poker cards using a webcam in linux And Neural networksRecognition of playing poker cards using a webcam in linux And Neural networks

Voxx Speech Recognition Project

Written in VB 6 for Win98 and up. Our goal is to provide speech recognition and text to speech unlike any software currently in the market. Some features include TTS, Dictation using Microsoft SAPI 5.1 engines.

Mouse gestures recognition

Mouse gestures recognition
Feedforward multilayer neural network and mouse gesture recognition... If a neural network can recognize the gesture, then you will see the name,

FLD-based Face Recognition System

This package implements 'Fisherface', a FLD-based face recognition system. Application. face recognition, Fisher Linear Discriminant, FLD, PCA

Pattern Recognition and AI

Projects focus is in pattern recognition for the purpose of implementing automated bindings between data and data behavior. Usability is; neural networks, data compressions, data integrity, data assumption ,

iGesture Recognition Framework

iGesture Recognition Framework
iGesture is a Java-based gesture recognition framework focusing on extensibility and by providing an integrated solution including tools for gesture recognition,

Shape Recognition

Shape Recognition
Shape Properties, Analysis, RecognitionObjective --------- The program should recognize objects like circles, rectangles,... Output ------ The RGB image with shapes recognized and labeled.test.bmp, Classify.m

Character Recognition Example (IV):Training a Simple NN for classification

Character Recognition Example (IV):Training a Simple NN for classification
This demo shows some examples for image pre-processing before the recognition stage. GUI, Display, Annotation. ocr simple farsi arabic
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