Practical Orientation Field Estimation for Embedded Fingerprint Recognition Systems

  • LIU Yukun
    Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
  • LI Dongju
    Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
  • ISSHIKI Tsuyoshi
    Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
  • KUNIEDA Hiroaki
    Dept. of Communications and Integrated Systems, Tokyo Institute of Technology

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As a global feature of fingerprint patterns, the Orientation Field (OF) plays an important role in fingerprint recognition systems. This paper proposes a fast binary pattern based orientation estimation with nearest-neighbor search, which can reduce the computational complexity greatly. We also propose a classified post processing with adaptive averaging strategy to increase the accuracy of the estimated OF. Experimental results confirm that the proposed method can satisfy the strict requirements of the embedded applications over the conventional approaches.

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