一种改进的虹膜图像质量评价算法

为确保识别的准确性，提出一种改进的虹膜图像质量评价算法。根据图像总体清晰度和可见度的粗评估，可以快速而有效地剔除质量较差的图像，并利用虹膜纹理清晰度和可见度精评估来量化评价指标。实验结果表明，该方法可准确地判断虹膜图像的质量，提高系统的工作效率，其评价结果和人眼主观评价相吻合，具有一定的应用价值。

Improved algorithm of iris image quality assessment

In order to ensure the accuracy of recognition, an improved iris image quality assessment algorithm is proposed. The poor quality image can be quickly and effectively refused according to the coarse assessment of overall image clarity and visibility. At the same time, evaluating indicators can be quantified with iris texture clarity and fine assessment of visibility. Experimental results show that the method can accurately judge the iris image quality and enhance the efficiency of evaluation, the assessment results agree well with subjective evaluation of human eyes, which has certain application value.