摘要
在指纹匹配中,从指纹图像中自动和可靠地提取特征点是一个关键性步骤。输入的指纹图像质量在自动识别和认证算法中起着重要的作用。基于脊线的频率和方向,提出了一个快速指纹图像增强和特征提取算法。指纹图像增强首先求出指纹的方向场,然后根据方向场进行滤波。指纹特征提取则先从细化图中得到特征点并剔除伪特征点。实验结果验证了该方法的有效性。
Automatic and reliable extraction of minutiae from fingerprint images is a critical step in fingerprint matching. The quality of input fingerprint images plays an important role in the performance of automatic identification and verification algorithms. Presents a fast fingerprint enhancement and minutiae extraction algorithm which improves the clarity of the ridge and valley structures of the input fingerprint images based on the frequency and orientation of the local ridges and thereby extracts correct minutiae. Experimental results show that the method performs well.
出处
《计算机技术与发展》
2009年第1期81-83,87,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(60375010)
关键词
指纹识别
特征提取
指纹增强
方向场
fingerprint recognition
minutiae extraction
fingerprint enhancement
orientation field
