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학술대회 A Motion and Similarity-Based Fake Detection Method for Biometric Face Recognition Systems
Cited 6 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
김영환, 유장희, 최경호
발행일
201101
출처
International Conference on Consumer Electronics (ICCE) 2011, pp.171-172
DOI
https://dx.doi.org/10.1109/ICCE.2011.5722522
초록
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 제안 키워드
Detection Method, Detection algorithm, Face Recognition system, Similarity-based, USB camera, Upper body