Search Results for "image pattern recognition"

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

Physics Simulation Software based on user sketchs running a pattern recognition agent, this app is able to animate a physics sketch, from a blackboard

Scanning and tomographic X-ray Powder Diffraction data processing.

LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...

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

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools

A toolkit for the optical recognition of 16th century lute tablature prints. It is based on and requires the Gamera document image analysis framework (http://gamera.sf.net).

Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.

libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.

...libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.

The Shape Visualizer is intented to be an exploratory/educational tool making it quick and easy to see how various mathematical methods perform in analysing and selecting the various patterns present on an image. The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content !

CIVx is a free advanced PIV (Particle Imaging Velocimetry) code, developped in Fortran and C++. Input : pair of png images. Output : velocity field in NetCDF format. It is used by the UVMAT Matlab code develloped at LEGI.

The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.

DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many feature selection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.

TURing human IDentification, a textual highly accessible alternative to image CAPTCHAs involving the usage of simple phrases and based on the language recognition features of the user, supposedly human.

baobab is an implementation of FPTrees or Frequent Pattern Trees, a pattern recognition/data mining technique. it has innumerable applications in language processing, clickstream analysis, etc.

The aim of this project is to produce an application that allows the user to run a range of statistical and pattern recognition techniques on microarray data.

Peru provides functionality for calibrating a camera or a stereo camera using only images of a checkerboard pattern as input. Peru also provides functionality for calculating disparity maps (depth maps) from a stereo image pair.

An Iris Recognition system written in Java. Acquires an image, locates the iris and produces a unique 'iris profile' for it. Will be fully supported by its own GUI but potentially linked into other applications, such as xlock.

The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.

DTreeJungle provides educational applets to teach the concepts of decision trees for regular pattern recognition.

Pattern recognition system written in Java. Provide statistical informations about satellite and medical imagery; and also recognize symbols in a gaussian blur.