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This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others



Theodoros Giannakopoulos
http:/www.di.uoa.gr/~tyiannak
---------------------------------------

Feature extraction (as in most pattern recognition problems) is maybe the most important step in audio classification tasks. The...



Java framework based on jAudio feature extraction algorithms, but lightweight and easy for use. Support mp3, wav, aiff, aifc, au and snd files. Can extract 28 features.



This submission is intended to help people who are- 1) Learning how to use GUI feature of MATLAB (like myself) and 2) For those who are taking undergrad courses in vibration/dynamics

You can enter values of mass, spring stiffness &...



CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.



re Recognition AG recently released Kadmos 4.0, an OCR (Optical Character Recognition) engine that provides machine and handprint recognition for desktop, handheld and server applications. In version 4, Kadmos utilizes a new feature extraction...



Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and...



This Face Recognition System uses Kekre Transform for Face recognition depicted through a GUI.This GUI depicts the face recognition system developed through feature extraction by Kekre Transform Algorithm. There are several functions that are...



The aim of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature...



Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and...



MIRtoolbox is a Matlab toolbox dedicated to the extraction of musical features from audio files, including routines for statistical analysis, segmentation and clustering. MIRtoolbox integrates a user-friendly syntax that enables to easily combine...



Two vein extraction methods as described by Miura et al. for finger vein authentication.
Maximum curvature:
This method will try to extract the centre lines of the veins. This is done by calculating local maximum curvatures in...



The Matlab code in this folder implements 1D-3D NUFFTs via fast Gaussian gridding. The convolution loops are written as C programs to be compiled as mex files from the Matlab command prompt. Further mathematical details about the code can be found...



This demo uses MATLAB Builder for Java to create a Java component from a MATLAB function varargexample.m. A Java Servlet was created which calls into the MATLAB created component to display a plot of the arguments specified. The plot is displayed...



AudioAnnotation Demo v.1.0 is an open source demo implemented in Matlab(R) for manual segmentation and annotation of audio files. You can use it for defining the ground truth, in order to check your segmentation-classification algorithm's...



Useful functions for face recognition research.
The PhD (Pretty Helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition....



Implemented in MATLAB v7.4.0.287, produced from text 'Emerging Topics in
Computer Vision' by Gerard Medioni. See demo.m to get started with using
the framework. Please contact tlinton@cs.utah.edu for bugs.

NOTE:
* Line 70...



GLDM calculates the Gray level Difference Method Probability Density Functions for the given image. This technique is usually used for extracting statistical texture features of a digital mammogram.
For details on the Gray level Difference...



Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information. However, there is a clear significant lack for a Matlab implementation of these concepts. Based on numerous requests from students and researchers, I...



Filtering the image using a simple mask will give a large response at the transition from background to finger. These large responses are located and used as detected finger edge. The function will return the location of these edges and will...