We present a novel approach to liveness verification based on visual speech recognition within a challenge-based framework which has the potential to be used on mobile devices to prevent replay or spoof attacks during Face-based liveness verification. The system uses model visual speech recognition and determines liveness based on the Levenshtein Distance between a randomly generated challenge phrase and the hypothesis utterances from the visual speech recognizer. A Deep learning-based approach to visual speech recognition is used to improve upon the state of the art for the use of visual speech recognition for liveness verification.
|Title of host publication
|12th International Conference for Internet Technology and Secured Transactions (ICITST 2017): Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 10 May 2018
|12th International Conference for Internet Technology and Secured Transactions, ICITST 2017 - Cambridge, United Kingdom
Duration: 11 Dec 2017 → 14 Dec 2017
|12th International Conference for Internet Technology and Secured Transactions, ICITST 2017
|11/12/2017 → 14/12/2017
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality