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Source code for fingerprint recognition, face recognition and much more


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Matlab Compiler lets you automatically convert your own Matlab programs into self-contained applications and software components and share them with end users. Applications and components created with the Compiler do not require Matlab to run. The Compiler takes Matlab applications (M-files, MEX-files, or other Matlab executable code) as input and generates redistributable, stand-alone applications or software components.

Suppose you want to create an application that calculates the rank of a large magic square. One way to create this application is to code the whole application in C or C++; however, this would require writing your own magic square, rank, and singular value routines. An easier way to create this application is to write it as one or more M-files, taking advantage of the power of Matlab and its tools. You can create Matlab applications that take advantage of the mathematical functions of Matlab, yet do not require that end users own Matlab. Standalone applications are a convenient way to package the power of Matlab and to distribute a customized application to your users.

Together with the .exe application, you have to re-distribute also the MCRInstaller.exe, included in Matlab package. This program is used to install all the Matlab dlls required to run a Matlab executable file.

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Requirements: Matlab, Matlab Compiler.





New - Mobile Biometrics
 .MOBI Premium Domain Names: Biometrics for Secure Mobile Communications As mobile devices become increasingly ubiquitous and play ever more significant roles in our lives, ensuring the trustworthiness and security of the information being exchanged has never been more important.
 
New - Software references
 Papers and lectures A list of papers that included Advanced Source Code .Com in the references section. If you have written a paper where our software is cited in the references list please email us and your work will be published at our web site.
 
New - WebCam Face Identification
 Face Recognition Based on Fractional Gaussian Derivatives Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.
 
New - Palmprint Recognition System
 On-line palmprint identification In the field of biometrics, palmprint is a novel but promising technology. There are many unique features in a palmprint image that can be used for personal identification. Principal lines, wrinkles, ridges, minutiae points, singular points, and texture are regarded as useful features for palmprint representation.
 
New - FFW Fastest Filtering in the West
 Fast convolution and filtering for 2D images
Convolution of time-domain functions is equivalent to multiplication of their Fourier transforms. Due to the efficiencies of the fast Fourier transform algorithm, the latter is often done to maximize the speed of a signal filtering task. In the frequency domain, block-processing is required.
 
New - Speaker Recognition System
 Source code for speaker recognition
Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
 
New - Speech Recognition System
 Source code for isolated words recognition
Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy.
 



The MathWorks, Inc. Google NeuralNetworks.It Octave Scilab The R Project for Statistical Computing Python Other available resources
 
Software Info    About us