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Some collected articles and news on Decatur in  particular and the digital ID industry in general. 



Ranked #1 at Mobile Iris CHallenge Evaluation II

Decatur's Iris Matching algorithm ranked first in Mobile Iris CHallenge Evaluation II (MICHE II), a challenge for iris recognition on MICHEDB (a dataset of images grabbed by mobile devices and available online here).

The matching is performed by calculating matching scores for iris codes and periocular biometric based on the Multi-Block Transitional Local Binary Patterns. The authentication scores are calculated separately, and the results are fused to improve the system performance. Score fusion significantly improves error statistics compared to individual iris and periocular matching. For example, equal error rate is about two times lower for fused scores compared to the separate iris and periocular matching.

Source: MICHE II Contest