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Conference Paper
A Motion and Similarity-Based Fake Detection Method for Biometric Face Recognition Systems
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- Authors
- Younghwan Kim, Jang-Hee Yoo, Kyoungho Choi
- Issue Date
- 2011-01
- Citation
- International Conference on Consumer Electronics (ICCE) 2011, pp.171-172
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, a motion and similarity-based fake detection algorithm is presented for biometric face recognition systems. First, an input video is segmented as foreground and background regions. Second, the similarity is measured between a background region, i.e., a region without a face and upper body, and an original background region recorded at an initializing stage. Third, a background motion index is calculated to indicate the amount of motion in the background region compared with the motion in the foreground region. By combining the result of similarity and the result of background motion index, a fake video can be detected robustly with a regular USB camera. ©2011 IEEE.
- KSP Keywords
- Detection Method, Detection algorithm, Face Recognition system, Similarity-based, USB camera, Upper body