Earticle

초록

영어

As a global feature of fingerprints, singular point plays important roles in fingerprint model, synthesis fingerprint, fingerprint classification, fingerprint alignment and so on. In our previous work, a rapid and effective fingerprint singular points detection method was proposed. That method detects singular points based on partitioning the orientation field into a serious non-overlapping homogenous areas. However, for the same orientation field, different partition schemes may lead to different singular point extraction results, especially for poor quality fingerprint images. For eliminating the uncertainty, we employ three different partition schemes simultaneously for each orientation field, and combine the three extraction results to make the final decision. Experiment proves that: this method is more accuracy than the previous one.

목차

Abstract
 1. Introduction
 2. Related Work and Discussion
 3. The Implementation
 4. Experiments
 5. Conclusions
 6. Acknowledgements
 References

키워드

저자

• Yuan Mei [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology, College of Computer Science and Technology, Nanjing University of Aeronautics & Astronautics ]
• Rongtao Hou [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science &Technology, School of Computer & Software, Nanjing University of Information Science &Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605