Earticle

초록

영어

To improve the accuracy of iris recognition system, we propose an efficient algorithm for iris feature extraction based on 2D Haar wavelet. Firstly, the iris image is decomposed by the 2D Haar wavelet three times, and then a 375-bit iris code is obtained by quantizing all the high-frequency coefficients at third lever. Finally we use similarity degree function as matching scheme. Experimental results on CASIA iris database show that our algorithm has the encouraging correct recognition rate (CRR) which is only 99.18%, accompanying with very low equal error rate (EER) 0.54%.

목차

Abstract
 1. Introduction
 2. Iris Image Preprocessing
 3. Feature Extraction and Matching
  A. Image Analyses by Using 2-D Discrete Wavelet Transform
  B. Feature Extraction and Encoding
  C. Matching
 4. EXPERIMENTAL RESULTS
  A. Performance Evaluation of the Proposed Method
  B. Comparison with Existing Methods
 5. Discussions
 6. Conclusion
 References

키워드

저자

• Zhu Wen yao [ Institute of Technology, Lishui University, Lishui 323000, China ]
• Zhou jun [ Logistic Engineering University, Chongqing 401331 ]
• WU Yu feng [ Institute of Technology, Lishui University, Lishui 323000, China ]
• Wang Ming jun [ Institute of Technology, Lishui University, Lishui 323000, 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