Machine learning is used in all facets of behavioral biometrics. It’s able to learn from human behavior and continuously improve user profiles that can be used to validate sessions or ...

2018 Innovations in Biometrics, Data Security, Machine Learning, and Cloud-based Security - ResearchAndMarkets.com January 19, 2018 10:13 AM Eastern Standard Time ...

Patternizr is a key example of how law enforcement agencies are using machine learning and pattern recognition analytics to spot similarities in crime and help improve public safety. The tool takes a ...

Palmprint recognition is a rapidly evolving field within biometric systems that utilises the unique patterns and features present on the human palm to verify identity. The inherent complexity of ...

The Center’s mission is the advancement of biometric technologies for both civilian and homeland security applications via pattern recognition, machine learning algorithms and sensors technology.

Govindaraju's research focuses on machine learning and pattern recognition and his seminal work in handwriting recognition was at the core of the first handwritten address interpretation system used ...

Recent advancements in image processing, machine learning, and pattern recognition have contributed significantly to improving the accuracy and robustness of these systems.

BNP Paribas reported that it has developed a biometric recognition and ... The report also cited Morgan Stanley’s “ next-best-action tool ” that uses machine learning to analyze data to ...

As mobile device use increases among U.S. government workers, IT and security officials are scrambling to better secure devices, leaving behind traditional anti-malware tools in favor of mobile ...

Gemalto is launching the Gemalto Assurance Hub, a new approach to fraud prevention in online banking. Powered by machine learning, it analyses the profile and the behavior of customers in real time.