摘要
利用模糊判别技术提出了一种指纹识别方法 ,改进了 Anil Jain等提出的细节匹配算法 ,有效地解决了图像质量很差时经常检测到很多伪细结点而丢掉很多真细结点、细节匹配难有大作为的情况。该算法有较强的抵抗噪声与非线性形变的能力。
An automated fingerprint verification system has become a focus in the field of pattern recognition in the world with the development of image processing,pattern recognition,and computer technique since 1960s,particularly the fingerprint matching that is one of the most important problems in the fingerprint verification system.A fingerprint verification based on fuzzy discrimination is proposed in this paper which can modify the minutiae matching algorithm put forward by Jain et al,and better solve the problem of detecting only a number of false minutiae and losing many true ones when the image quality is very poor.This algorithm can be capable of noise resistance and nonlinear deformation.
出处
《南京气象学院学报》
CSCD
北大核心
2002年第5期702-705,共4页
Journal of Nanjing Institute of Meteorology
基金
横向课题基金"基于指纹技术的实验室管理系统的研制"
