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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 - Python Face Recognition
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 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.
 
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 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.
 
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Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
 
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 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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