In order to build a benchmark for iris location we annotate (iris squared bounding boxes) four databases from different biometric applications and make them ...
We compare the classical and outstanding Daugman iris location approach with two window based detectors: 1) a sliding window detector based on features from ...
Iris location is usually the initial step in recognition, authentication and identification systems. ○ Periocular region. Page 3. 3.
This paper presents an efficient iris detection method that leverages the SSD (Single Shot multibox Detector) model, modified to give a lighter and simpler ...
Apr 16, 2018 · In order to build a benchmark for iris location we annotate (iris squared bounding boxes) four databases from different biometric applications ...
Bibliographic details on A Benchmark for Iris Location and a Deep Learning Detector Evaluation.
Apr 24, 2024 · In this survey, we provide a comprehensive review of more than 200 articles, technical reports, and GitHub repositories published over the last 10 years
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This paper introduces a method aims to efficient human identification by enhanced iris detection method within acceptable time. ... The outcome of this method ...
This review provides a comprehensive sight of the research of iris recognition based on deep learning, including identification, segmentation, ...
Benchmarking of eleven iris segmentation methods against five datasets of different compositions (illumination, sensor, noise level, demography), providing ...