手指静脉图像鲁棒边缘检测算法

Robust edge detection method for finger vein images

手指静脉识别技术是新一代的生物特征识别技术,具有潜在的广泛应用。为定位用于识别的静脉区域,一个重要的工作是对手指边缘进行检测。对于低质量手指静脉图像,经典边缘检测算法检测效果不理想。为此,提出一种新的可应用于低质量手指静脉图像的鲁棒边缘检测算法,主要分为三个步骤:寻找手指内部分界线,将手指静脉图像分为上、下两个部分;利用上、下两个水平边缘检测模板,分别检测手指的上、下边缘;检测边缘中的错误片段,并利用插值、拟合、填补等技术进行修复。实验结果表明,该算法具有检测准确率高、鲁棒性强的特点。

Finger vein recognition is a new generation biometric recognition technology and has wide potential applications.In order to locate the finger vein region for recognition,one important work is to detect the edges of the finger to segment the finger shape.Because the existing finger edge detect algorithms did not work well for low quality finger vein images,this paper proposed a novel algorithm.It consisted of three main steps:firstly,the algorithm searched an inner line of the finger and it divided the finger vein image by upper part and lower part.Then,the algorithm detected the upper edge and lower edge of the finger by utilizing two horizontal edge detection templates in upper part and lower part respectively.Finally,the algorithm detected the wrong sections of the edges and fixed them by a series of technologies such as interpolation,fit,and so on.It performed a series of finger vein images in this experiments.The results show that the proposed algorithm is accurate and robust.