Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Prabhakar, S., Kittler, J., Maltoni, D., O’Gorman, L., Tan, T.: Introduction to the Special Issue on Biometrics: Progress and Directions. IEEE Trans. on PAMI 29(4), 513–516 (2007)
Goudelis, G., Tefas, A., Pitas, I.: On Emerging Biometric Technologies. In: Proc. of COST 275 Biometrics on the Internet, Hatfield, UK, pp. 71–74 (2005)
Morales, A., Ferrer, M.A., Travieso, C.M., Alonso, J.B.: A knuckles texture verification method in a transformed domain. In: Proc. of 1st Spanish Workshop on Biometrics (on CD), Girona, Spain (2007)
Choraś, M.: Emerging Methods of Biometrics Human Identification. In: Proc. of ICICIC 2007, Kummamoto, Japan. IEEE CS Press, Los Alamitos (2007)
Kasprzak, J., Leczynska, B.: Cheiloscopy. Human Identification on the Basis of Lip Prints (in Polish). CLK KGP Press, Warsaw (2001)
Kasprzak, J.: Forensic Otoscopy (in Polish). University of Warmia and Mazury Press (2003)
Huynh, C., de Chazal, P., Flynn, J., Reilly, R.B.: Automatic Classification of Shoeprints for use in Forensic Science. In: Proc. of the Irish Machine Vision and Image Processing Conference, Dublin, Ireland (2003)
Tsuchihasi, Y.: Studies on Personal Identification by Means of Lip Prints. Forensic Science 3(3) (1974)
Sonal, V., Nayak, C.D., Pagare, S.S.: Study of Lip-Prints as Aid for Sex Determination. Medico-Legal Update 5(3) (2005)
Gomez, E., Travieso, C.M., Briceno, J.C., Ferrer, M.A.: Biometric Identification System by Lip Shape. In: Proc. of Carnahan Conference on Security Technology, pp. 39–42 (2002)
Cetingul, H.E., Yemez, Y., Erzin, E., Tekalp, A.M.: Multimodal speaker/speech recognition using lip motion, lip texture and audio. Signal Processing 86, 3549–3558 (2006)
Cetingul, H.E., Yemez, Y., Erzin, E., Tekalp, A.M.: Discriminative Analysis of Lip Motion Features for Speaker Identification and Speech-Reading. IEEE Transactions on Image Processing 15(10), 2879–2891 (2006)
Ouyang, H., Lee, T.: A New Lip Feature Representation Method for Video-based Bimodal Authentication. In: Proc. of NICTA-HCSNet Multimodal User Interaction Workshop, Sydney, Australia, vol. 57, pp. 33–37 (2005)
Cetingul, H.E., Yemez, Y., Erzin, E., Tekalp, A.M.: Robust Lip-Motion Features for Speaker Identification. In: Proc. of IEEE Conf. on Acoustics, Speech, and Signal Processing - ICASSP 2005, Philadelphia, USA, pp. 509–512 (2005)
Leung, S.H., Wang, S.L., Lau, W.H.: Lip Image Segmentation Using Fuzzy Clustering Incorporating an Elliptic Shape Function. IEEE Trans. Image Processing 13(1), 51–62 (2004)
Kubanek, M.: Method of Speech recogntion and Speaker Identification with Use Audio-Visual of Polish Speech and Hidden Markov Models. In: Saeed, K., et al. (eds.) Biometrics, Computer Security Systems and Artificial Intelligence Applications, pp. 45–55. Springer, NY (2006)
Kubanek, M.: Technique of Video Features Extraction for Audio-video Speach Recognition System. Computing, Multimedia and Intelligent Techniques 1, 181–190 (2005)
Tadeusiewicz, R., Korohoda, P.: Computer Analysis and Image Processing (in Polish). Foundation of Progress in Telecommunication, Cracow (1997)
Liao, X.S., Pawlak, M.: On the Accuracy of Zernike Moments for Image Analysis. IEEE Trans. Pattern Anal. Machine Intell. 20(12), 1358–1364 (1998)
Xin, Y., Pawlak, M., Liao, S.: Accurate Computation of Zernike Moments in Polar Coordinates. IEEE Trans. Image Processing 16(2), 581–587 (2007)
Teh, C.C., Chin, R.T.: On image analysis by the methods of moments. IEEE Trans. Pattern Anal. Machine Intell. 10, 496–513 (1988)
Khotanzad, A., Hong, Y.H.: Invariant image recognition by Zernike moments. IEEE Trans. Pattern Anal. Machine Intell. 12, 489–498 (1990)
Ross, A., Nandakumar, K., Jain, A.K.: Handbook of Multibiometrics. International Series on Biometrics. Springer, Heidelberg (2006)
Erzin, E., Yemez, Y., Tekalp, A.M., Ercil, A., Erdogan, H., Abut, H.: Multimodal Person Recognition for Human-Vehicle Interaction. IEEE Multimedia 13(2), 18–31 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choraś, M. (2008). Human Lips as Emerging Biometrics Modality. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_99
Download citation
DOI: https://doi.org/10.1007/978-3-540-69812-8_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
eBook Packages: Computer ScienceComputer Science (R0)