The lip as a biometric

In many cases human identification biometric 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. We present standard and original geometrical parameters used in lips biometric system. Moreover Zernike and Hu moments as well as color features have been used. The presented results are yet not as good as these achieved in other known biometric systems. However, we believe that both lips biometrics as well as our approach and results, are worth to be presented to a wide research community.

[1]  Y Tsuchihashi,et al.  Studies on personal identification by means of lip prints. , 1974, Forensic science.

[2]  Mark S. Nixon,et al.  The ear as a biometric , 2007, 2007 15th European Signal Processing Conference.

[3]  A. Murat Tekalp,et al.  Multimodal speaker/speech recognition using lip motion, lip texture and audio , 2006, Signal Process..

[4]  Anastasios Tefas,et al.  ON EMERGING BIOMETRIC TECHNOLOGIES , 2005 .

[5]  Hubert Nowak Lip-reading with discriminative deformable models , 2006 .

[6]  M. Choras,et al.  Emerging Methods of Biometrics Human Identification , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[7]  Michal Choras,et al.  Image Feature Extraction Methods for Ear Biometrics--A Survey , 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

[8]  Michal Choras Human Lips Recognition , 2008, Computer Recognition Systems 2.

[9]  V. D. Ges The Discrete Symmetry Transform in Computer , 1995 .

[10]  Shu Hung Leung,et al.  Lip image segmentation using fuzzy clustering incorporating an elliptic shape function , 2004, IEEE Transactions on Image Processing.

[11]  A. Murat Tekalp,et al.  Robust lip-motion features for speaker identification , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[12]  M. Kubanek Technique of video features extraction for audio-video speech recognition system , 2005 .

[13]  Josef Kittler,et al.  Introduction to the Special Issue on Biometrics: Progress and Directions , 2007, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Arun Ross,et al.  Handbook of Multibiometrics (International Series on Biometrics) , 2006 .

[15]  Mariusz Kubanek,et al.  Method of Speech Recognition and Speaker Identification using Audio-Visual of Polish Speech and Hidden Markov Models , 2006, Biometrics, Computer Security Systems and Artificial Intelligence Applications.

[16]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Miguel A. Ferrer,et al.  Biometric identification system by lip shape , 2002, Proceedings. 36th Annual 2002 International Carnahan Conference on Security Technology.

[18]  A. Murat Tekalp,et al.  Multimodal person recognition for human-vehicle interaction , 2006, IEEE Multimedia.

[19]  Philip de Chazal,et al.  Automatic classification of shoeprints for use in forensic science based on the Fourier transform , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[20]  Tomasz Andrysiak,et al.  Symmetry-Based Salient Points Detection in Face Images , 2006, ICAISC.

[21]  Roland T. Chin,et al.  On Image Analysis by the Methods of Moments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Mineichi Kudo,et al.  Soft authentication using an infrared ceiling sensor network , 2009, Pattern Analysis and Applications.

[23]  Michal Choras Human Lips as Emerging Biometrics Modality , 2008, ICIAR.

[24]  Mineichi Kudo,et al.  Soft authentication and behavior analysis using a chair with sensors attached: hipprint authentication , 2009, Pattern Analysis and Applications.

[25]  A. Murat Tekalp,et al.  Discriminative Analysis of Lip Motion Features for Speaker Identification and Speech-Reading , 2006, IEEE Transactions on Image Processing.

[26]  Vito Di Gesù,et al.  Symmetry operators in computer vision , 1996 .

[27]  Hua Ouyang,et al.  A new lip feature representation method for video-based bimodal authentication , 2006 .