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A New Finger-Knuckle-Print ROI Extraction Method Based on Two-Stage Center Point Detection

초록

영어

Finger-knuckle-print (FKP) pattern has been utilized in biometric recognition systems. This paper proposes a new FKP region of interest (ROI) extraction method based on two-stage center point detection. In our method, a center point preliminary detection is constructed to capture the center point initially. Then, an efficient center point positioned algorithm is presented to locate the center point more precisely in real time. Finally, we select the Hong Kong Polytechnic University (PolyU) database to verify the efficiency of the proposed method. The experimental results show that the proposed method can extract ROI not only accurately but also in real time.

목차

Abstract
 1. Introduction
 2. The Proposed Method
  2.1 Preprocessing
  2.2 Two-stage Center Point Detection
  2.3 ROI Extraction
 3. Experimental Results
  3.1 Experimental Database and Settings
  3.2 Experiment 1
  3.3 Experiment 2
  3.4 Experiment 3
  3.5 Experiment 4
 4. Conclusion and Future Work
 Acknowledgments
 References

저자정보

  • Hongyang Yu School of Computer Science and Technology, Shandong University Jinan 250101, P.R. China
  • Gongping Yang School of Computer Science and Technology, Shandong University Jinan 250101, P.R. China
  • Zhuoyi Wang School of Computer Science and Technology, Shandong University Jinan 250101, P.R. China
  • Lin Zhang School of Computer Science and Technology, Shandong University Jinan 250101, P.R. China

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