Multimodal Person Recognition for Human-Vehicle Interaction
IEEE MultiMedia
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
A new lip feature representation method for video-based bimodal authentication
MMUI '05 Proceedings of the 2005 NICTA-HCSNet Multimodal User Interaction Workshop - Volume 57
Multimodal speaker/speech recognition using lip motion, lip texture and audio
Signal Processing - Special section: Multimodal human-computer interfaces
Introduction to the Special Issue on Biometrics: Progress and Directions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emerging Methods of Biometrics Human Identification
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Lip-reading with discriminative deformable models
Machine Graphics & Vision International Journal
Multimedia Interfaces for BSL Using Lip Readers
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Human Lips as Emerging Biometrics Modality
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Lip-Reading Technique Using Spatio-Temporal Templates and Support Vector Machines
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Symmetry-Based salient points detection in face images
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Lip image segmentation using fuzzy clustering incorporating an elliptic shape function
IEEE Transactions on Image Processing
Discriminative Analysis of Lip Motion Features for Speaker Identification and Speech-Reading
IEEE Transactions on Image Processing
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One of the most interesting emerging method of human identification, which originates from the criminal and forensic practice, is human lips recognition. In this paper we consider lips shape features in order to determine human identity. The major contribution of this paper are novel geometrical parameters developed in order to describe human lips shape for biometric applications.