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Source code for fingerprint recognition, face recognition and much more


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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

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New - Java Face Recognition
 Java-based Biometric Authentication System Face recognition is essential in many applications, including mugshot matching, surveillance, access control and personal identification, and forensic and law enforcement applications.
 
New - PHP Face Recognition
 Biometric Authentication with PHP We have developed a server side face verification module based entirely on PHP language. Algorithm is estremely robust to expression variations and different lighting conditions.
 
New - Correlation Filters AFIS
 Automated Fingerprint Identification System The theory of advanced correlation filters has evolved from the literature of optical pattern recognition in the last two decades; they have proved effective classifiers in a number of applications, among them biometric recognition and automatic target recognition.
 
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 - White Papers
 High Capacity Wavelet Watermarking Using CDMA Multilevel Codes This paper proposes a technique based on CDMA and multilevel coding in order to achieve a high capacity watermarking scheme. The bits of watermark are grouped together and for each sequence a different modulation coefficient is used.
 
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 - 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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