Biometrics
Biometrics news and technical articles from Vision Systems Design magazine. Search Biometrics latest and archived news and articles
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Researchers use multiple sources to identify faces
Researchers at Queensland University of Science and Technology (Brisbane, Australia) are attempting to develop a system that will be able to identify a person without the need to stand face on to a camera.
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Vision system helps curb drunken drivers
Drunk driving may soon become a thing of the past thanks to a face-recognition program developed by a pair of University of Windsor (Windsor, Ontario, Canada) engineering graduate students.
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LEADING EDGE VIEWS: 3-D Imaging Advances Capabilities of Machine Vision: Part I
In Part I of this three-part series, associate professor Daniel Lau (Electrical and Computer Engineering, University of Kentucky) describes the variety of technologies that can capture and display 3-D images.
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Eye tracker spots liars with greater accuracy
Computer scientists at the University of Buffalo (UB; Buffalo, NY, USA) are exploring whether machines can read visual cues that give away deceit.
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Panavision's CMOS imager uses active column sensor technology
Panavision Imaging's DYNAMAX-11 CMOS image sensor (D11) offers global shutter and patented Active Column Sensor (ACS) technology that allows for high gain per column with closed-loop feedback.
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PixeLINK GigE cameras are available in color and monochrome models
PL-E950 CCD industrial cameras from PixeLINK can be combined with the PixeLINK software developer’s kit (SDK) to simplify integration into machine-vision applications.
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Software development kit supports streaming for face recognition
A new software development ki (SDK) from Neurotechnology for biometric face identification uses live video streams from single or multiple high-resolution digital surveillance cameras.
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Software spots suspicious facial signs
Researchers at Oxford University (Oxford, England) and Oulu University (Oulu, Finland) are developing software that can recognize so-called micro-expressions -- tell-tale facial signs can reveal that individuals are concealing something.
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Researcher gets grant to develop cell-phone iris recognition program
A researcher at the National University of Singapore has been awarded a $100,000 grant to develop a biometric cell phone application that converts images of irises taken by the cell phone into unique mathematical representations that can be used to identify individuals in healthcare environments.
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Face matching can be performed against 2-D images
Engineers at University of York spin-out Cybula (York, UK) have developed a face recognition system called FaceEnforce that they claim offers some unique advantages over current systems on the market