Earticle

초록

영어

Iris biometric is most mature and secure authentication system as compared to other systems. Other authentication system does exist apart from biometrics such as PIN, password etc., which are not secure and more vulnerable to attacks and can be hacked or spoofed easily. Using, Iris biometric we can enhance overall performance in terms of accuracy, which is possible if and only if the pupil part must be removed perfectly and efficiently. Pupil part is unwanted part for our system. Pupil part is surrounded by iris part when extracted successfully we get two approximate concentric circle. Proposed scanning algorithm successfully extracts pupil part and defines iris part with less complexity and more efficiently. Iris part is consisting of patterns which are desired for authenticating a person and each patterns are represented in terms of feature vectors and stored in database. Proposed system focuses on feature extraction using five level decomposition technique implemented with haar, db2 and db4 and achieves high accuracy with reduced error rates. Due to reduced errors and considering lower half of iris part, proposed algorithm can be used for larger database such as for Aadhar because it takes less time for feature extraction and has less complexity with reduced mathematical burden on the system and improves good accuracy.

목차

Abstract
 1. Introduction
  1.1 Overview of Biometrics in Security Systems
  1.2 Iris Enrollment
  1.3 Iris Recognition / Verification
  1.4 Overview
 2. Literature Review
 3. Formation of the Problem and Methodology
  3.1 Objectives
  3.2 Contribution of Thesis
  3.3 Materials and Methods
 4. Pupil Detection and Iris Localisation
  4.1 Dataset
  4.2 Algorithm
  4.3 Iris Localization
  4.4 Results
  4.5 Conclusion
 5. Normalization
  5.1 Introduction
  5.2 Implementation
  5.3 Conclusion
 6. Feature Encoding and Matching
  6.1 Introduction
  6.2 Block Diagram of Feature Extraction
  6.3 Results
  6.4 Conclusion
  6.5 Matching
 7. Results and Discussion
  7.1 Results
  7.2 Comparision and Discussion
 8. Conclusion and Future Work
  8.1 Conclusion
  8.2 Future Work
 Acknowledgements
 References

키워드

저자

• Vanaja Roselin E. Chirchi [ Research Scholar, JNTUH, Kukatpally Hyderabad-500085(AP), India ]
• L. M. Waghmare [ Director, SGGS Institute of Engineering and Technology Vishnupuri, Nanded-431606(MS), India ]

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