上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于指纹块中主要脊和次要脊的方向场估计

刘欢喜，李雄，刘亚雄，刘允才   

  1. (上海交通大学 电子信息与电气工程学院， 上海 200240)
  • 收稿日期:2009-05-22 修回日期:1900-01-01 出版日期:2010-03-30 发布日期:2010-03-30

Fingerprint Orientation Field Estimation Based on the Primary and Secondary Ridges within Fingerprint Block

LIU Huanxi,LI Xiong,LIU Yaxiong,LIU Yuncai   

  1. (School of Electronic,Information and Electrical Engineering, Shanghai Jiaotong University， Shanghai 200240, China)
  • Received:2009-05-22 Revised:1900-01-01 Online:2010-03-30 Published:2010-03-30

摘要： 针对方向场估计算法存在估计精度不高、计算时间开销过大的现象，提出一种基于指纹块中主要脊和次要脊的指纹方向场估计方法.它主要包括4个处理步骤：预处理原始指纹图像，利用上半邻域搜索算法提取指纹前景块中的主要脊和次要脊，利用脊的直线模型估计指纹前景块方向，以及采用修正方案提高方向场估计的精度.实验结果表明，该方法不仅具有令人满意的估计精度，而且拥有很高的计算效率；且具有很强的抗噪性能，能够有效提高指纹识别系统的性能.

关键词: 指纹方向场, 主要脊和次要脊, 上半邻域搜索算法, 脊的直线模型, 修正方案

Abstract: A novel algorithm based on the primary and secondary ridges within the fingerprint block was proposed for the orientation field estimation. The algorithm comprises four steps: preprocessing original fingerprint image, determining the primary and secondary ridges of fingerprint foreground block using the top semineighbor searching algorithm, estimating block direction based on straightline model of such a primary ridge and correcting the spurious block directions. The experimental results show that it achieves satisfying estimation accuracy with low computational time expense. A further experiment shows that it is more accurate and robust to noise compared with the previous methods and can improve the performance of a fingerprint recognition system.

中图分类号: