Ihar Kliashchou, Chief Technology Officer at Regula. Read Ihar Kliashchou's full executive profile here.
Numbers have a certain allure. They seem precise and unbiased, offering a straightforward way to compare products. This is particularly tempting in the complex world of software services, where decision makers often seek simple ways to navigate a sea of choices. But can a decision maker fully rely on them?
For document verification, IDV vendors often have a limited number of templates to train their systems, and frequent updates to these documents add to the complexity. Why does the dataset matter? Larger ones give more realistic results, while smaller ones might miss important scenarios. Including various image types and threat types makes the testing conditions realistic. Diverse datasets of different documents in different languages and with different demographics provide a thorough evaluation. Limited datasets can produce impressive but unreliable metrics.
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