Journal of Shanghai Jiaotong University

• Automation Technique, Computer Technology • Previous Articles     Next Articles

Background Removing of Slap Fingerprint Images Based on Frequency Domain Analysis

LI Yanmiao1,ZHANG Yongliang2,HUANG Yaping3,XIAO Gang2,LIN Jing2
  

  1. (1.School of Science, Dalian Jiaotong University, Dalian 116028, China;
    2.School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;3.School of Education Science and Technology, Zhejiang University of Technology, Hangzhou 310032, China)
  • Received:2009-12-01 Revised:1900-01-01 Online:2010-08-31 Published:2010-08-31

Abstract: To separate the background from the foreground of slap fingerprint images quickly and accurately, an efficient algorithm based on frequency domain analysis was presented:① the coarse separation of foreground from the background based on threeorder cumulant; ② the binarization enhancement based on optimal threshold segmentation of gray histogram distribution; ③ the removal of nonfingerprint texture region based on frequency domain analysis and two decision rules; ④ the region combination based on the center nearest neighbor rule. The experimental results show that the algorithm, which is proven effective by the given examples, has a faster processing speed and superior precision.

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