An Enhanced Estimation Algorithm for Reconstructing Fingerprint Strip Image

  • Woong-Sik Kim
  • Weon-Hee Yoo
  • Jang-Hyun Park
  • Bok-Ki Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3935)


Fingerprint Recognition Technologies are becoming more popular to be used as a representative of biometrics nowadays. As all electronics devices tends to be smaller and smaller, people pays more attention to “linear sensor” method. The most important factor for securing the reliable Fingerprint Recognition Technology is pursuing the enhancement of the captured fingerprint image from sensors. This paper presents an algorithm that uses Image Estimation and Reconstruction Method in order to embody precisely the image captured from Linear Sensors. The proposed algorithm is verified theoretically and experimentally that the image can be perfectly reconstructed from the fingerprint on the linear sensor even though the finger position is displaced vertically, horizontally, and/or rotationally. Also this system demonstrates much higher recognition and authentication rates than any other existing systems.


Machine Intelligence Fingerprint Image Horizontal Shift Standby Mode Linear Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Woong-Sik Kim
    • 1
    • 2
  • Weon-Hee Yoo
    • 1
  • Jang-Hyun Park
    • 2
  • Bok-Ki Kim
    • 3
  1. 1.Department of Computer Science & Information Engineering Inha UniversityIncheonKorea
  2. 2.11F KIPA Bldg.SeoulKorea
  3. 3.Department of Electronics Engineering Kwangwoon UnversitySeoulKorea

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