What about biometry alternatives to 3DAuth ?
Fingerprint solutions require a specific & expensive hardware. As of today, there are only few tens of mobile devices in the market equipped with a fingerprint reader. In addition to important use case issues (no guarantee of non-repudiation, people with weak fingerprints, high false rejection rate …) latest spoofing attacks showed that fingerprint systems can be easily hacked in less than 15 minutes.
Iris solutions require specific and expensive near infrared light sensor which isn’t a standard on mobile devices nowadays. Market studies have also indicated that people consider this technology as much intrusive, resulting in lower market acceptance.
Retina solutions require specific & expensive hardware too. User’s experience isn’t that good as the technology requires the user to be very still when authenticating. There isn’t any retina-enabled mobile devices as of today.
Eyes blood vessels solutions are suffering the same issues like other 2D based technologies: they can be easily spoofed in few minutes by using 2D pictures or video replays. In addition, technology presents important limitations like people having small eyes, having contact lenses and requires the user to be very close to the camera (nearly 99% of smartphones don’t have auto-focus capabilities with the front camera) which makes the User’s experience quite painful.
Voice recognition solutions require the user to speak aloud and therefore seriously limit the number of use cases. Background noise also seriously impacts the accuracy of voice recognition systems. Lastly, market studies indicate that voice system acceptance is merely depending on cultures and differs from one country to the other.
Finger/Palm vein solutions require also specific and expensive hardware. As of today, there isn’t any palm or finger vein enabled mobile devices in the market.
2D facial solutions are probably the weakest ones in term of robustness (high sensitivity to light conditions) and security. Despite industry effort to introduce some motion detection, all 2D facial systems offer weak resistance to spoofing attacks and can usually be fooled in minutes – not to say seconds – by simply using animated 2D pictures or videos.