Earticle

초록

영어

In this paper we propose a Hamming Distance Deviation Matching Approach (HDDMA) for Iris recognition. Our HDDMA approach is different from the traditional iris matching method based on Hamming Distance. Firstly we use the odd symmetry Gabor filters with single frequency and two directions to extract iris edge information. Secondly we use zero-crossing detecting method to encode the filtering results． Finally we construct the HDDMA parameter for iris matching. Comparison experiments between the traditional Hamming Distance matching method and the proposed HDDMA are conducted on five iris datasets. The experimental results show that the equal error rate and the correct recognition ratio of the HDDMA are better than those of the traditional Hamming Distance matching method consistently in all iris datasets and the HDDMA has strong anti-eyelid and eyelash noise capability．

목차

Abstract
 1. Introduction
 2. Iris Pre-Processing
 3. Iris Feature Extraction
  3.1. Filter Selection
  3.2. Building Filter Set
 4. The Zero-Crossing Coding Approach
 5. Iris Matching Method
  5.1. Traditional Matching Methods
  5.2. HDDMA Iris Matching Method
 6. Experiments and the Result Analysis
  6.1. Experiment Environment and Iris Identify Standard
  6.2. Experiment Comparison
  6.3. Comparison with other Iris Recognition Methods based on Gabor Filter
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Lv Hanfei [ Department of Information management Zhejiang Vocational Policy Academy Hangzhou, Zhejiang Province, China ]
• Jiang Congfeng [ School of Computer Science Hangzhou Dianzi University Hangzhou, Zhejiang Province, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605