On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Accuracy of Zernike Moments for Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
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 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
Accurate Computation of Zernike Moments in Polar Coordinates
IEEE Transactions on Image Processing
Lips Recognition for Biometrics
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Lip tracking method for the system of audio-visual polish speech recognition
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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In many cases human identification biometrics systems are motivated by real-life criminal and forensic applications. 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 and color features in order to determine human identity. In our lip biometric system geometrical parameters, Zernike moments as well as color features are calculated.