Biometrics Institute names Stephanie Schuckers head of Academic Research and Innovation Group

The Biometrics Institute has introduced Stephanie Schuckers as the new Head of the Institute’s Academic Research and Innovation Group, a committee within the Biometrics Institute set up to further strengthen its outreach into the research community. Schuckers is a Clarkson University professor and Director of the Center of Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center. She has testified for Congress, and has over 40 journal publications as well as over 60 other academic publications. The

Idiap study explores impact of score fusion on voice biometrics, presentation attack detection

Researchers at Idiap Research Institute Biometrics Group in Switzerland have conducted an extensive study of eight presentation attack detection (PAD methods) in which they assessed their ability to detect known and unknown attacks using publically available speaker databases with spoofing attacks, AVspoof and ASVspoof. Authored by research associate Pavel Korshunov and senior researcher Sébastien Marcel, the study is published in the latest issue of IEEE Journal of Selected Topics in Signal Processing. Automatic speaker verification (ASV) systems are highly vulnerable

Researchers develop quantum biometrics technique to identify people

Researchers at National Technical University of Athens in Greece have developed a way to exploit quantum mechanics to securely identify individuals, according to a report by Technology Review. Michail Loulakis and his team say that quantum biometrics makes identification more accurate and harder for fraudsters to exploit to gain unauthorized access. Based on the principle that the human eye can detect single photons, the new technique involves special light-detection equipment that relies on rhodopsin molecules in retinal rod cells to

Researchers find smartphone fingerprint sensors potentially vulnerable to “MasterPrints”

Smartphone fingerprint sensors could be fooled up to 65 percent of the time by “MasterPrints” digitally composed from common fingerprint features, according to findings published Monday by researchers at New York University and Michigan State University. In the report MasterPrint: Exploring the Vulnerability of Partial Fingerprint-based Authentication Systems, the researchers warn that partial fingerprint-based authentication systems are potentially vulnerable to compromise, particularly when multiple impressions of each finger are enrolled. Enrolling multiple impressions is often required by devices to ensure

Researchers improve method to detect faces in a crowd from small images

Researchers at Carnegie Mellon University have developed a method for detecting multiple faces in a crowd from small images with a greatly reduced error factor, according to a report in The Tartan. The process described in the Finding Tiny Faces report involves focusing a computer on specific pixels within a “massively-large receptor field,” in which 99 percent of the template examined is beyond the object of interest, and which provides the context to detect small objects. While most recognition approaches

EPFL, Global ID developing 3D finger vein recognition system

EPFL’s Security and Cryptography Laboratory has partnered with startup Global ID to develop an encryption technique for processing biometric data captured via 3D finger vein recognition, a system the researchers say is nearly impossible to forge, according to a report by TechXplore. Using 3D vein imaging technology developed by the Idiap Research Institute in Martigny, the University of Applied Sciences in Sion (HES-SO Valais-Wallis) and Global ID, the new identification system can process data more safely than current standards. “Two-dimensional

Swiss research institute involved in U.S. gov’t biometric projects

Idiap Research Institute is working on two major biometric security projects for the U.S. government. Through its Swiss Center for Biometric Research and Testing, the Idiap Research Institute is engaged in the U.S. government’s Odin and MediFor projects. The goal of the Odin program is to develop biometric presentation attack detection technologies to ensure biometric security systems can detect when someone is attempting to disguise their biometric identity. Odin is a program administered by the Office of the Director of

FBI researchers match CT scan data with patient photos

According to a study conducted by researchers with the Federal Bureau of Investigation (FBI), facial images obtained from publicly available radiology scans are able to be matched to patients’ photos, raising privacy concerns, according to a report by Health Imaging. Connie Parks, MA, and Keith Monson, PhD, of the FBI’s counterterrorism and forensic science research unit, were able to easily match patients’ photos with facial images taken from publicly available radiology scans, such as head CT scans stored in open-access

Hong Kong researchers develop technology to improve fingerprint ID

Researchers at the Hong Kong Polytechnic University have developed a technology that aims to improve fingerprint identification by making it more accurate, affordable and hygienic, according to a report by South China Morning Post. They have patented a contactless three-dimensional (3D) identification system, which is more affordable than the method currently used. Unlike other 3D fingerprint scanners, the system developed by Dr Ajay Kumar, associate professor at PolyU’s department of computing, can successfully detect and measure the height and orientation

Researchers develop authentication method based on lip motion

Researchers at Hong Kong Baptist University have developed a “lip motion password”, which depends on the motions of an individual’s lips to generate a password, according to a report by Techradar. The technology, which was granted a US patent in 2015, takes into account the person’s lip shape, texture, movement and sound to determine a people’s identity. “The same password spoken by two persons is different and a learning system can distinguish them,” Cheung Yiu-ming, who led the research, said.