Earticle

초록

영어

Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems are vulnerable to certain type of attacks. Spoofing refers to the fraudulent action by an unauthorized person into biometric systems using fake input that reproduces one of the authorized person’s biometric input. Spoof detection provides extra level of authentication to biometrics. It is used to prevent forgeries. The fingerprint spoof detection is performed by measuring the following quality features of fingerprint. They are Spatial Coherence, Clustering Factor, Gabor Features, Uniformity of Frequency field, Ridge frequency, Direction map and Contrast map. This approach is based on fingerprint image quality. This technique is software based as it requires no external hardware. This approach is inexpensive.

목차

Abstract
 1. Introduction
 2. Spoof Detection
 3. Proposed System
  3.1 Ridge Clarity Features:
  3.2 Ridge Continuity Features
  3.3. Ridge Strength Features
 4. Feature Selection
 5. Classifier
 6. Experimental Results
 7. Conclusion
 References

키워드

저자

• Arunalatha G [ Research Scholar, Department of Computer Science and Engineering Professor, Department of Information Technology Pondicherry Engineering College, Puducherry ]
• M. Ezhilarasan [ Research Scholar, Department of Computer Science and Engineering Professor, Department of Information Technology Pondicherry Engineering College, Puducherry ]

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