Search Results for "image pattern recognition" - Page 12
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Showing 308 open source projects for "image pattern recognition"
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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.
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Alexis Make
Yet another make utility.
Maintain your software with amake (a make utility for developers). Supports strong pattern recognition and transformations. A single makefile can be used to compile an entire project. -
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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.
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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.
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Image recognition program for granulometry analysis. Based on wavelet transform and levelset method.
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A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.
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Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.
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Hidden Markov Models (HMM) are a Pattern Recognition Metaheuristic. JHMMSim lets you to train and test a HMM with a friendly Java/Swing GUI. Also, JHMMSim lets you to generate a C++ code with a trained HMM, so you can use it in your own applications.
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pyrap is a pygtk application and python library that will allow a tester to "record and playback" gui applications on linux. The recorded test creates a executable python script for playback. Recording uses image recognition.
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A PHP class and example implementation of an image CAPTCHA. Uses random TrueTrype fonts and ramdom lengths, sizes and character rotation, as well as a full character set to defeat character recognition bots. Primarily used for spam prevention in web apps
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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.
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DTreeJungle provides educational applets to teach the concepts of decision trees for regular pattern recognition.
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Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.
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This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).
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phpOCR is an Optical Character Recognition system written in PHP. It can be used in automated scripts as well as web interface. Works best for small images like numeric SMS/email authorization codes, bar-code numbers and others.
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Pattern recognition system written in Java. Provide statistical informations about satellite and medical imagery; and also recognize symbols in a gaussian blur.
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Fingerprint Imaging Software -- fingerprint pattern classification, minutae detection, Wavelet Scalar Quantization(wsq) compression, ANSI/NIST-ITL 1-2000 reference implementation, baseline and lossless jpeg, image utilities, math and MLP neural net libs
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The Pattern Recognition Analysis Project is a Java implementation of a basic multilayered backpropagation neural network, used in a color recognition and character recognition project, made for educational and experimental purposes.
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Chemopy is a set of Python functions and classes that are useful for the field of chemometrics. This includes multivariate regression, pattern recognition, signal processing, and other useful preprocessing techniques. For active development of Python Che
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Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.
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A general purpose C++ library for Bayesian Filtering.<p> Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition. <p>
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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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GNU Cross Stitching pattern creator project consists of an application which takes any digital image as an input and convert it into a cross stitching pattern. The project is meant to be used on most of the existing operation systems.
