On Jan 15, 2015; IriTech has unveiled a new technology to effectively capture and process iris images under direct sunlight of more than 100,000 lux – a move it claims will boost iris recognition technology's convergence with various industries such as the mobile devices, wearables and automobiles.
The technology does not require major extra hardware components thus additional cost will be minimal if not negligible. "This is finally a viable solution to take iris recognition mainstream, especially at a time when mobile devices and automobiles are embracing biometrics.
Our technology will make sure the user experience is not compromised in bright environments," said Dr. Daniel Kim, CEO of IriTech.
Our new development, Gemini camera, can capture face and & dual iris at the same time with one single CMOS sensor.
This technology can automatically and easily capture focused iris images in reasonable focal length (45cm~60cm) adjustable depending on the object. It can be captured from the side with ± 25 degrees off axis.
The novelty and strength of this technology are its flexible capturing distance adjustments and using single camera for capturing and distance measuring. Therefore, the manufacturing cost will be very low due to no additional gadget needed.
IriTech's technology has many advantages over other iris recognition technologies
Rigorous US government testing (NIST IREX I) demonstrated our software was superior among the world's top iris recognition algorithms.
IriTech is one of the few companies in the world that holds international patents for an iris identification algorithm and systems.
IriTech's breakthrough embedded camera technology is affordable, compact, yet high performance. It removes processing burden from the host computer.
IriTech's cameras can encrypt and secure transmission of networked data via user certificates, preventing the upload of false images.
Our software and hardware is able to generate and process ISO Standard images that can be used with any other camera or software.
The pupil and iris are not perfect circles. Instead of force-fitting, IriTech's algorithm maps to the natural curves of the pupil and iris to generate the best fit.
IriTech's algorithm divides the iris into a large number of sectors. This matrix's fine resolution extracts as much useful information as possible from the image, increasing accuracy.
Identification is possible if as little as 30% of the iris is visible and the comparison image stored on record is high quality.