BRIEF: The Convergence of Biometrics and Computer Vision
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Ryszard Tadeusiewicz, Piotr Augustyniak. Back Matter Pages About these proceedings Introduction This book presents the most recent achievements in some fascinating and rapidly developing fields within Computer Science. Performance Racter algorithms artificial intelligence biometrics cognition genetic algorithm hidden Markov model image analysis information knowledge monitor simulation speech recognition visualization.
Artificial intelligence is finding a home in biometric security, especially as it pertains to behavioral and multimodal biometrics. Take, for example, typing behavior biometrics, or handwriting.
In a traditional system, initial enrollment in the biometric system attains the basic samples and a given tolerance for error is implemented. However, in an AI biometric system, the artificial intelligence can account for and learn subtle changes in the person to be authenticated. In handwriting biometrics, timing and pressure may be taken into account, as well as direction when making letters, order of operation, etc.
The same is true for typing.
Keystrokes can be measured in terms of accuracy, speed, pressure, hand-dominance, and much more. AI analysis of these factors makes for a system that is perpetually up to date and less prone to both false positives and negatives, saving everyone time and money.
Systems that implement AIs can also be used for continuous biometric monitoring. Jamaica deploying public CCTV surveillance program with facial recognition. BrainChip partners to offer AI facial recognition to Scandinavian security system customers.https://viptarif.ru/wp-content/map9.php
Biometric Security Upgraded With Blockchain and AI
Malta considers CCTV with facial recognition to curb antisocial behavior. Yoti to provide facial recognition for age verification in UK supermarkets. Moscow to expand facial biometrics to more of massive surveillance camera network in Comments Leave a Reply Cancel reply.