Earticle

초록

영어

In recent years, counterfeiting is posing a serious threat to face recognition based authentication system. Introducing liveness detection into a face-based authentication system can be a good solution to the problem. This paper applied eye region detection and tracking technology to anti-counterfeiting application, and designed an eye region activity based liveness detection system. First, a scale balance and a “face-to-eye” strategy were proposed to fast detect the eye region, and then KLT algorithm was used to track the detected eye region. At last, a random instruction (closing eye, moving to the left or right) was evoked to the user, and the liveness judgment was given according to the results of the users’ cooperation. Experiments show that the proposed eye region activity based face liveness detection system is real-time and robust, and can meet the needs of practical applications.

목차

Abstract
 1. Introduction
 2. Eye Region Search with Modified Viola-Jones Detection Algorithm
  2.1 Face Detection with Cascade-Structured AdaBoost Algorithm
  2.2 Using Scale Balance Strategy to Accelerate Face Detection
  2.3 ‘Face-Eye’ Searching Strategy for Eye Region Detection
 3. KLT Tracking Algorithm
  3.1 KLT Tracking Algorithm
  3.2 Eye Region Tracking based on KLT Algorithm
 4. Eye Region Activity State Based Face Liveness Detection
  4.1 State of Eyes closed Detection Algorithm based on NCC
  4.2 The Implementation of Face Liveness Detection System
 5. Summary
 Reference

키워드

저자

• Xu GuangZhu [ College of Computer Science and Information Technology, Three Gorges University, Yichang 443002, P.R.China, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Three Gorges University, Yichang 443002, P.R.China ]
• Yin PanLong [ Edong Healthcare, Huangshi Central Hospital, Huangshi 435000, P.R. China ]
• Lei BangJun [ Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Three Gorges University, Yichang 443002, P.R.China ] Corresponding Author
• Zou YaoBin [ College of Computer Science and Information Technology, Three Gorges University, Yichang 443002, P.R.China, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Three Gorges University, Yichang 443002, P.R.China ]
• Yang JiQuan [ Jiangsu key Laboratory for 3D Printing Equipment and Manufacturing, Nanjing 210046, P.R.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