提出了一种增强型虹膜图像质量评价算法, 针对远距离移动中虹膜识别系统采集的受干扰虹膜图像, 通过量化单帧图像感兴趣区域的清晰度、可用度和对比度等质量指标, 计算序列图像的联合加权质量得分, 对虹膜图像序列的可用性进行评价, 有效筛除获取的低质虹膜图像序列。实验表明, 该算法提升了虹膜识别系统图像质量评价的准确性和可靠性, 从而能有效提升系统的鲁棒性和识别效率。

An enhanced algorithm on iris image quality assessment was proposed. For the disturbed iris images captured by the iris recognition system utilized for long-distance moving iris recognition, the quality indices of the resolution, availability, and contrast of the region of interest of the single frame iris image were quantified. And the joint weighted quality scores of sequential images were calculated, which were used to effectively evaluate the usability of iris image sequences and screen out the unqualified low-quality iris image sequences. Experiments show that the algorithm improves the accuracy and reliability of image quality assessment of the iris recognition system, which can effectively improve the robustness and recognition efficiency of the system.