원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.9 No.1
2015.01
pp.51-60
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes a mobile face identify authentication system. In this system, Android application has to capture face, and verify the face by Web services. It is introduced how to implement an Android Client of this system in details. Using MB-LBP features, AdaBoost and CamShift algorithm, get face images by camera on mobile device. Then, rotate, crop the face images and convert them to grayscale in order to reduce the amount of face data. At last, post data and get validation results using sub-thread to realize real-time face verification.
목차
Abstract
1. Introduction
2. Campus Identity Authentication System Design
2.1. System Function
2.2. System Function
3. Implementation of Face Detection on Android
3.1. MB-LBP (Multi-block Local Binary Patterns) Feature
3.2. CamShift Tracking
3.3. Face Standardization
3.4. Results of Real-time Face Detection
4. Implementation of Face Verification on Android
4.1. Implementation of Real-time Communication
4.2. Providing API Service
5. Experiment and Analysis
6. Conclusion
Acknowledgements
References
1. Introduction
2. Campus Identity Authentication System Design
2.1. System Function
2.2. System Function
3. Implementation of Face Detection on Android
3.1. MB-LBP (Multi-block Local Binary Patterns) Feature
3.2. CamShift Tracking
3.3. Face Standardization
3.4. Results of Real-time Face Detection
4. Implementation of Face Verification on Android
4.1. Implementation of Real-time Communication
4.2. Providing API Service
5. Experiment and Analysis
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보