accuracy


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Of late there have been repeated calls on Twitter for biometric suppliers to publicly release statistics pertaining to the performance of their biometric algorithms, specifically False Accept Rates (FAR) and False Reject Rates (FRR). Whilst not a response to those calls, this post is in part motivated by them. Those repeatedly calling for the release of these figures know in advance that their calls will not be heeded. As they are already well-versed in the technology, they already understand the reasons why. Yet I believe they persist so they can cite the non-responsiveness of suppliers as “evidence” that the technology […]

On Biometric Suppliers Publishing Accuracy Figures


Iris Biometrics Major improvements have been realised in the capture capability, enabling Iris capture on the move or from a distance. While this is not an improvement in the SDK matching per say, it has a significant influence on the matching and usability of the system. Face Biometrics There have been significant and drastic improvements in the quality and accuracy of matching performance in a very short period of time in the last few years. This has been demonstrated by recent NIST tests, as well as other independent testing. It is not anticipated this rate of improvement will level out […]

Biometric Trends Improving Performance