摘要
自动指纹识别和认证作为生物特征识别这一新兴领域的主流技术,有着重要的研究意义和广泛的应用前景。大多数自动指纹识别系统(AFIS)是基于细节特征点(minutiae)的匹配,因此细节特征点的提取是指纹图象处理中的关键环节。本文提出了一种基于脊线跟踪的指纹细节提取算法,能够直接从灰度指纹图象中有效地抽取出细节点及其相关信息。实验表明,由于该算法减少了很多不必要的计算量,相对于传统的方法具有明显的速度优势,而且保持了较高的准确率。
Fingerprint is one of the most popular and reliable personal biometric characteristics. Most automatic fingerprint verification systems are based on minutiae matching. Therefore automatic minutiae extraction is an extremely critical step in the whole system. In this paper, an initiated approach to automatic minutiae detection is proposed. According to this scheme, the minutiae is directly detected from gray-scale images. This technique is based on a ridge following algorithm that follows the image ridgelines until a termination or a bifurcation occurs. The results achieved have been compared with those obtained through some known approaches which require binarization and thinning. The comparison shows the superiority of our technique in terms of speed and accuracy. The low computational complexity makes this method particularly suitable for applications where efficiency is a primary issue.
出处
《电路与系统学报》
CSCD
2001年第3期1-5,共5页
Journal of Circuits and Systems
