https://740-y-p.com/actinomyce....toma-laboratory-base
Ensuring the caliber of iris images acquired in unconstrained imaging problems in noticeable light poses many difficulties to iris recognition systems. Poor-quality iris images raise the untrue rejection rate and decrease the performance associated with the systems by quality filtering. Practices that may accurately predict iris image quality can improve the performance of quality-control protocols in iris recognition systems. We suggest an easy blind/no-reference metric for predicting iris picture quality. The
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