摘要
回顾了身份自动识别技术的各种方法,按照识别特征的不同,对掌纹的识别方法进行了分类综述,主要介绍了基于模板匹配的方法、图像分析的方法、基于线特征的方法、傅立叶变换(Fourier transform)的方法、Sobel算子和形态学的方法、K-L变换的识别方法、二维Gabor滤波器的方法、F isher-palm s方法、模板学习、小波变换的方法。最后提出了掌纹识别技术今后的发展方向。
In this paper, automatic personal identification methods are briefly reviewed. Then current palmprint recognition technologies are roughly introduced and classified according to different recognition features. They are the automatic personal identification methods based on templates matching, image analysis, line features, Fourier transform, K - L transform, Sobel operator and morphologie, planar Gabor filter, Fisher - palms, templates learning, wavelet transform. Finally , prospects and development of palmprint recognition in the future is analyzed.
出处
《淮阴工学院学报》
CAS
2006年第1期22-26,共5页
Journal of Huaiyin Institute of Technology
基金
江苏省教育厅自然科学基金项目(05KJD140030)
关键词
生物测定学
身份识别
掌纹识别
掌纹特征
biometrics
palm - print recognition
personal recognition
palmprint features
