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Finger Vein Image Registration Based on Genetic Algorithm

机译:基于遗传算法的手指静脉图像配准

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Finger vein recognition technology is an emerging biometric identification technology that utilizes the distribution structure of venous blood vessels to achieve identification. The vein recognition process is divided into two parts: registration and recognition. In the registration process, the generation of registration template is particularly important. In order to obtain the registration template more accurately, this paper proposes a finger vein image registration algorithm based on genetic algorithm. The principle of the algorithm is to use the mutual information of two finger vein images as the fitness function of the genetic algorithm, and use the genetic algorithm to search for the optimal parameters of the rigid body transformation model. The experimental results show that the algorithm is effective and can achieve the registration of finger vein images within a short iteration.
机译:手指静脉识别技术是一种新兴的生物识别技术,利用静脉血管的分布结构来实现鉴定。静脉识别过程分为两部分:注册和识别。在注册过程中,注册模板的生成尤为重要。为了更准确地获得注册模板,本文提出了一种基于遗传算法的指静脉图像配准算法。该算法的原理是使用两个指静脉图像的互信息作为遗传算法的适应性函数,并使用遗传算法来搜索刚体变换模型的最佳参数。实验结果表明,该算法有效,可以在短迭代内实现手指静脉图像的登记。

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