Iris Recognition System
Iris identification technology is designed for biometric systems developers and integrators. The technology includes many proprietary solutions that enable robust iris enrollment under various conditions and fast iris matching in 1-to-1 and 1-to-many modes.
a software development of stand-alone and Web-based solutions on Microsoft Windows, Linux, macOS, iOS and Android platforms.
* Robust iris detection.
* Automatic interlacing detection and correction.
* Gazing-away eyes.
* Correct iris segmentation.
* Iris image quality determination and spoof prevention.
* Reliability.
Irises are detected even when there are obstructions to the image, visual noise and/or different levels of illumination. Lighting reflections, eyelids and eyelashes obstructions are eliminated. Images with narrowed eyelids or eyes that are gazing away are also accepted.
Results in maximum quality of iris features templates from moving iris images.
Are correctly detected on images, segmented and transformed as if it were looking directly into the camera.
Perfect circles fail.
The centers of the iris inner and outer boundaries are different.
Iris boundaries are definitely not circles and even not ellipses.
Iris boundaries seem to be perfect circles.
Iris is partially occluded by eyelids.
FEATURES AND CAPABILITIES
Robust iris detection:
Irises are detected even when there are obstructions to the image, visual noise and/or different levels of illumination. Lighting reflections, eyelids and eyelashes obstructions are eliminated. Images with narrowed eyelids or eyes that are gazing away are also accepted.
Automatic interlacing detection and correction:
Results in maximum quality of iris features templates from moving iris images.
Gazing-away eyes:
Are correctly detected on images, segmented and transformed as if it were looking directly into the camera.
Correct iris segmentation. is obtained even under these conditions:
Perfect circles fail. System uses active shape models that more precisely model the contours of the eye, as iris boundaries are not modeled by perfect circles.
The centers of the iris inner and outer boundaries are different. The iris inner boundary and its center are marked in red, the iris outer boundary and its center are marked in green.
Iris boundaries are definitely not circles and even not ellipses. especially in gazing-away iris images.
Iris boundaries seem to be perfect circles. The recognition quality can still be improved if boundaries are found more precisely. Note these slight imperfections when compared to perfect circular white contours.
Iris is partially occluded by eyelids. The upper and lower lids are marked in red and green correspondingly.
Iris image quality determination and spoof prevention:
The image quality estimation can be used during iris enrollment to ensure that only the best quality iris template will be stored into database. Also, cosmetic (decorative) contact lens, which obscure an iris with some artistic or fake iris texture and/or change iris color, can be detected.
Reliability:
The algorithm has shown excellent recognition accuracy during the NIST IREX evaluations, as well as during testing on publicly available datasets.