IriCore
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State-of-the-art Iris Recognition Software Development Kit Iris Segmentation Template Generation Template Matching Quality Assessment

device name IRITECH IRICORE about Superior Iris Identification = Features • Support various image formats including raw and compressed images format like BMP, JPEG, JPEG2000. • Supports ISO iris image interchange formats such as uncompressed (K2), cropped (K3), cropped and masked and polar (K7) image formats. • Support various ISO standard quality metric (iREX ll) for quality assessment like sharpness, contrast, iris texture, usable iris area, and self-defined metric. • Support multiplatforms (Windows, Linux, Android) and multiple programming languages (C/C++, .NET and Java). • Thread-safe...

Superior Iris Recognition Algorithms IriCore is an iris recognition SDK which has been developed by IriTech for many years. All of the IriTech’s state-ofthe-art iris recognition algorithms packaged in IriCore have been tested and proven to be solid in performance by the NIST’s ICE & IREX. 1. Highly accurate iris segmentation for feature extraction based on variable multi-sector analysis and non-linear segmentation 2. Robust to various obstructions to the images like pupil dilation due to different levels of illumination 3. Ability to handle images with visual noise or blurry by a strong...

Performs a quality check for iris images which is important for enrollment, verification, identification or de-duplication. IriTech's image quality assessment algorithm has been proven as the most accurate ones in IREX II. Why quality assessment important? • During image acquisition, it can be used for real-time selection of the best image out of streaming video. It also provides feedback to improve quality of image capture • During enrollment and identification, it can help reject unqualified images and provide actionable feedbacks to improve the accuracy. • High correlation of quality...

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