This invention relates to outdoor
iris image processing technology, providing a real-time comprehensive
quality assessment method and an adaptive optical parameter adjustment
system. The assessment method includes: locating the eye boundary based on
grayscale projection and local normalization; generating dual thresholds using an improved Otsu
algorithm and dynamic
grayscale subspace search; calculating a sharpness index based on second-order gradient entropy change; locating the
pupil through a reliable edge point fitting mechanism, detecting the outer circle of the iris using an improved integral-
differential operator, and evaluating segmentation accuracy using the ratio of the local standard deviation of the edge to the standard deviation of the target region; fusing gradient fitting and
grayscale distribution to achieve
eyelid and
eyelash detection; and finally outputting a
quality score based on 18 weighted indicators. The optical adjustment
system senses the environment and initializes optical parameters, dynamically adjusting parameters based on weighted voting from multiple frames of images, and achieving
rapid convergence with environmental consistency
verification. This invention improves the speed and stability of
pupil localization, sharpness assessment,
eyelash detection, and illumination adjustment in low-computing-power scenarios.