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Feb 6, 2021 at 14:21 comment added Brian O'Donnell My response is about real world applications and not research. 90% at best is very poor when compared to over 99% for facial recognition. For the very unusual, and temporary, situation we are in now (i.e., the COVID-19 pandemic) it sounds like eye recognition would be a solution but for what? Would you risk a 10% or higher error to use it at an ATM machine? What application could you possibly deploy this in before the pandemic is over? I can certainly see eye recognition being used to supplement a human in identifying people in special situations. One example would be for detective work.
Feb 6, 2021 at 10:29 comment added exius Thankyou for your answer. However I have some questions about your claim that eye identification is not done due to it having high error rate. In this paper and this paper having both around 90% accuracy at best. Why did you claim such a way or am I horribly missing something ? thankyou very much.
Feb 5, 2021 at 17:16 history edited Brian O'Donnell CC BY-SA 4.0
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Feb 5, 2021 at 17:10 history edited Brian O'Donnell CC BY-SA 4.0
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Feb 5, 2021 at 17:00 history edited Brian O'Donnell CC BY-SA 4.0
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Feb 5, 2021 at 16:53 history edited Brian O'Donnell CC BY-SA 4.0
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Feb 5, 2021 at 16:46 history edited Brian O'Donnell CC BY-SA 4.0
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Feb 5, 2021 at 16:41 history answered Brian O'Donnell CC BY-SA 4.0