earticle

논문검색

Fingerprint Spoof Detection Using Quality Features

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

저자정보

  • 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

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.