Two-factor authentication based on possession and knowledge is today – multimodal biometric solutions are the world of tomorrow. This includes, for instance, ID cards with a fingerprint and facial recognition which we are currently working on.
Whether in a smart phone or at the border – Biometrics has now become part of everyday life and simplifies many complicated processes. After all, we always have our fingerprints or facial image with us whereas remembering passwords can be very difficult. We are working hard to make identification even more secure using multimodal biometrics.
Biometric authentication is a secure alternative to passwords. At the same time, it is very user friendly. Multimodal biometrics, i.e. the combination of different features for authentication, makes identifying an individual even more secure while ensuring uncompromised convenience. We are currently exploring how we can integrate a camera for facial recognition into our GoID card with a fingerprint.
GoID – a perfect carrier medium
The GoID card can be authorised to open doors, start machines, encrypt e-mails, sign documents, pay in the canteen and even access company data remotely. It is the ideal medium for all of these applications. It is user-friendly, requires no batteries, is made of extremely robust composite fibre material and is highly secure and meets data protection requirements. Data is only stored and processed on the card itself, so that holders have full control over their data.
Very different challenges facing innovators
During facial image recognition, the reference data used for the comparison with the live image is stored in the card only. No external database is needed. That being said, integrating the camera does pose a number of challenges to our innovators: Image processing, for instance, is more difficult than with fingerprints. After all, a beard, a new hairstyle or different lighting can certainly mean that the live image differs from the reference image. What’s more, the card has to manage with 0.01 watts – by comparison, a smart phone has 10 watts. Making the camera small enough is another challenge. With the camera integrated, the current prototype technology demonstrator measures 4 to 6 millimetres and is still quite thick.
Age estimation and emotion recognition
Our innovators are already working on other developments. These include age estimation as part of facial recognition or “emotional biometry” and “affective computing”, i.e. recognising emotions. On an international level, these new technologies are being primarily driven by US and Chinese companies. We are examining whether German and European data protection/privacy legislation permits technologies like these to be used at companies.