BioID® Eye Biometrics
In general, face recognition requires certain conditions such as fully frontal face images as well as consistent lighting. Furthermore, facial recognition might not be suitable for certain user populations such as healthcare professionals wearing surgical masks or people with religious face veils, niqabs or winter scarves. To overcome these challenges, BioID® has developed a special patented periocular recognition, which recognizes a person through the area around their eyes. This means the technology is less exclusive and broadens the user population and number of use cases. Additionally, a person who is enrolled with their eyes can be readily recognized whether or not their face is partially obscured.
Recognition of partly covered faces
More accurate & flexible authentication
Alongside the cloud-based face and voice authentication already available in the BioID® Web Service BWS, the new trait gives developers an additional strong choice when integrating biometric authentication with their applications. Eye recognition will enable new use cases that were not possible with face recognition and can deliver greater performance in certain applications. As this technology focuses on a small part of the face which is less sensitive to lighting conditions and is more precise in terms of facial characteristics, it is even more accurate, flexible and accepted in any situation.
Broadening user population and applications
Just like face recognition, BioID®’s eye recognition works with a standard smartphone camera, webcam or security camera and requires only a simple selfie. It looks at the fine features around the eyes, such as lashes, lid, brow, and folds in the skin, as well as the full or partial iris (the patterns in the colored part of the eye) when visible. Since only the eyes are needed, it is an ideal solution for applications where the mouth and nose may be covered by a medical or cleanroom mask or a scarf.
Two biometrics (face & eye) is better than one
Because BioID®’s eye recognition is less sensitive than face recognition to varied lighting conditions (thanks in part to a unique patent-pending feature extraction process), it works well for applications with challenging lighting. Furthermore, the technology is also less sensitive to appearance changes such as facial hair or makeup. Eye recognition can always be combined with face recognition for increased accuracy, thus providing greater performance with the same intuitive user experience. User-friendly biometric recognition is the key to convenient strong authentication, which BioID® enables for truly secure and trusted systems.