India turns to fingerprint biometric liveness to stem spoof attacks on Aadhaar payments
A new liveness detection feature for fingerprint authentications is being introduced as part of the Aadhaar-enabled payment system to prevent…
Biometric liveness refers to the use of computer vision technology to detect the genuine presence of a living user, rather than a representation such as a photograph or a mask. Presentation attack detection (PAD) technologies can utilize active or passive detection methods. Typically associated with facial recognition, liveness can also be applied to voice recognition to distinguish present speakers from audio recordings, and finger or palm biometrics such as by detecting blood flow, and even iris recognition. Find liveness detection solutions.
A new liveness detection feature for fingerprint authentications is being introduced as part of the Aadhaar-enabled payment system to prevent…
Brazil’s federal government is working on biometric identity verification infrastructure that would act as a backstop for businesses looking for…
Oz Forensics has launched a partnership program to give businesses easy access to biometric technologies that can help them quickly…
A switch from active to passive liveness detection for face biometrics may significantly decrease abandonment in customer onboarding rates, a…
TrinamiX and STMicroelectronics have finished their reference design for facial authentication and plan to demonstrate the innovation in September at…
Seeing the big picture is useful in completing some tasks, but it introduces extraneous details that can confuse matters on…
Germany-based trinamiX has collaborated with Qualcomm Technologies to launch a pair of new biometric technologies for implementation on mobile devices;…
iProov announced it received a certification for its biometric face verification technology with liveness detection to Level of Assurance High…
A new presentation attack detection feature has been added to the Clearview Consent API from Clearview AI to allow developers…
Limitations to the software used in building deepfakes means that many of them are not very good at recreating profile…