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指纹图像细化算法的研究
引用本文:王业琳,宁新宝,尹义龙.指纹图像细化算法的研究[J].南京大学学报(自然科学版),2003,39(4):468-475.
作者姓名:王业琳  宁新宝  尹义龙
作者单位:[1]南京大学电子科学与工程系,南京,210093 [2]山东大学计算机科学与技术学院,济南,250100
基金项目:南京大学重大应用研究预研项目基金(2001-03)
摘    要:对指纹图像的细化算法进行了较深入的研究,分析了两种常用的细化算法——快速细化算法和改进的OPTA算法各自的优缺点.针对这两种算法的不足,分析其产生的原因,并且在第二种算法的基础上,重新构建了细化模板,提出了一种新的细化算法.经过实验证明。该算法能够很好的满足细化的要求,细化完全彻底,细化以后的指纹骨架在纹线中心线,并保持了纹线原有的拓扑结构和细节特征,而且光滑无毛刺,运算速度也很快.

关 键 词:指纹图像  图像细化  快速细化算法  改进OPTA算法  细化模板  图像预处理  指纹识别

Study on the Fingerprint Image Thinning Algorithm
Wang Ye-Lin,Ning Xin-Bao,Yin Yi-Long.Study on the Fingerprint Image Thinning Algorithm[J].Journal of Nanjing University: Nat Sci Ed,2003,39(4):468-475.
Authors:Wang Ye-Lin  Ning Xin-Bao  Yin Yi-Long
Abstract:The thinning algorithm for fingerprint image is studied deeply in this article. Moreover, both the advantages and disadvantages of the quick thinning algorithm and the improved OPTA thinning algorithm are analyzed. Also, the reasons for these disadvantages are invertigated. On the basis of the second algorithm, the thinning templates are redesigned, and a new improved thinning algorithm is presented. Through experiments, the new algorithm has been proved to have many advantages such as complete thinning, quick speed, smooth skeleton, center location of ridges, maintenance of minutiae, and so on.
Keywords:fingerprint  image thinning  single pixel wide  template
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