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Biometric source code
Fingerprint Recognition
Face Recognition
Speech Recognition

Speaker Recognition
Iris Recognition
Facial Expression Recognition
Palmprint Recognition
Writer Recognition
Signature Recognition
Neural networks
Face Identification Based on DCT and Neural Networks
Face Recognition Based on Wavelet and Neural Networks
Text-Independent Speaker Recognition Based on ANN
Assembler-based Neural Network Simulator
Pattern recognition
Face Recognition Based on Polar Frequency Features
FisherFaces for Face Recognition
Speech Recognition Based on Dynamic Time-Warping
Face Recognition Based on Local Features
Face Recognition in Fourier Space
WebCam Face Identification
Phase-Based Iris Identification
RASTA-PLP Speaker Identification
Overlapping DCT Face Matching
AOV Fingerprint Minutiae Matching System
Statistical Moments Face Identification
RST-Invariant Image Registration
2D Pattern Matching
Stock market prediction
Price Patterns
Neural Network Forecasting
Genetic Trading System
Advanced signal processing
Recursive Gabor Filtering
DCT-based Watermarking
Wavelet-based Watermarking
FFW Fastest Filtering in the West
Fast DCT Via Moments
Efficient 8x8 DCT C Source Code
Digital Audio Watermarking
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Biometrics
Source code for fingerprint recognition, face recognition and much more


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» Mobile Biometrics
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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. But clearly, strong security should not be at the expense of user acceptance. European researchers are employing biometrics and digital signing to provide a solution.

Though security applications that verify a person's identity based on their physical attributes, such as fingerprint readers or iris scanners, have been in use for some time, biometric security has only recently started to appear in mobile phones, PDAs and notebook computers where the need for miniaturisation represents a technological challenge.

Researchers are currently investigating two main scenarios:

Embedded biometry where the multi-modal biometric authentication system is running entirely on a mobile phone. The system is designed to maximise the authentication performance and to minimise resources such as CPU, memory and speed.

Remote biometry if the multi-modal biometric authentication system needs too many resources to reach the required performance it will be hosted on a server while a minimum of essential functionalities would stay on the mobile phone such as capture, segmentation, preprocessing and feature extraction.

Fig.1 Personal digital assistant

.MOBI is the first and only top level domain name dedicated to delivering the Internet to mobile devices. It is designed to guide mobile users to made-for-mobile Internet content and services that can be accessed with confidence. The .MOBI Registry is backed by the most prominent mobile and Internet players in the world - the very same companies (e.g. Nokia, Ericsson, Microsoft, and Google) who have delivered the promise of today's information society. There are four times as many mobile phones as there are PCs, and 1.8 billion people already have access to the mobile Web. The world's first Internet domain specific to mobile devices, .MOBI names have already been registered across 104 countries in just the first few months of availability. The following premium domain names are available:



If you are interested to these premium domain names please email us and you will be contacted for more detail.





 
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.
 



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