Fingerprint orientation field estimation: model of primary ridge for global structure and model of secondary ridge for correction

  • Authors:
  • Huanxi Liu;Xiaowei Lv;Xiong Li;Yuncai Liu

  • Affiliations:
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China

  • Venue:
  • ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
  • Year:
  • 2009

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Abstract

Although many algorithms have been proposed for orientation field estimation, the results are not so satisfactory and the computational cost is expensive In this paper, a novel algorithm based on straight-line model of ridge is 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 Experimental results show that it achieves satisfying estimation accuracy with low computational time expense.