目前的虹膜识别系统常因图像采集环节中和光照相关的多种因素使虹膜图像出现光斑, 在很大程度上影响虹膜识别系统的识别精度。为了进一步使虹膜识别系统具有更高的准确性、更大的实用性, 提出了一种基于消除图像干扰点的虹膜识别方法。该方法首先用图像融合技术对不同位置出现光斑的同一虹膜图像进行配准融合, 消除虹膜图像上的光斑, 使虹膜图像更完整清晰, 然后采用图像灰度局部信息统计的方法对虹膜纹理进行特征提取和编码, 并运用海明距离进行虹膜匹配, 得到识别结果。在给定阈值为0.255的前提下, 达到99.74%的正确识别率。实验证明, 该算法有效消除图像干扰点, 识别率高, 满足虹膜识别的要求。

Nowadays, many kinds of factors related with illumination in the gathering process of iris recognition system bring light spots to the iris images, and the light spots lead to the loss of the iris texture. To a great extent, it affects the precision of the iris recognition system. In order to improve the accuracy and practicality of iris recognition system, an iris recognition method based on eliminating disturbance points in iris image is proposed. This method uses the image fusion technology to match two images of the identical iris which have light spots in different positions. As a result, the light spots are effectively eliminated after the image fusion. Then it uses an iris block-encoding method based on statistic of local information for feature extraction and encoding. After that it calculates the Hamming distance between different iris codes and obtains the recognition results according to Hamming distance. When the Hamming distance threshold equals to 0.255, the accuracy of iris recognition is 99.74%. The experimental results demonstrate that this method can effectively eliminate the disturbance points and has high accuracy, which can meet the demands of iris recognition.