用于身份识别的虹膜图像预处理方法研究

Study on Method of Iris Image Preprocessing for Identification Recognition

跟踪研究了虹膜图像的预处理方法;针对现有算法的局限性作了改进,提出了基于小波变换的虹膜图像消噪的方法,并针对虹膜图像的特点,提出了新的虹膜定位检测算子,使虹膜定位更加迅速、精确;最后进行了虹膜图像的增强和校准处理。实验结果表明,该方法能精确地检测到虹膜,提高了虹膜识别的速度和精确性,并有良好的稳健性。

Iris image preprocessing algorithms were studied and had been made betterments according to their limitations and iris features. A new iris image denoising and localization algorithm were presented, which showed high speed and veracity. Finally, iris enhancement and adjustment were given. The results show that the algorithm not only is good to the speed and veracity of iris location but also robust.