Abstract
The biometric identification of persons became a very important problem nowadays. Various aspects of criminality, and lately terrorism, forced us to increase the financial outlays allocated for safety measures based on biometrics. Fingerprints and face are the most popular biometric features. However, new modalities are still desirable (moreover, nowadays the usage of multimodal systems becomes very popular). An ear seems to be a very interesting one. The auricle has complex and stable structure and is as distinguishable for various persons as the face. During the development of biometric algorithms their proper and reliable testing is one of the most important aspects. For that purpose a test database can be very helpful. There are many test bases with faces, but ear databases are very rare. Moreover, the existing ones are usually strongly limited. Therefore, in this paper a new ear images database (the West Pomeranian University of Technology Ear Database) is presented for usage in various scientific applications, e.g. for testing biometric algorithms.
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
Bobcow, A., Dabrowski, M.: Biometric Access Control. Pomiary Automatyka Kontrola 53(4), 87–90 (2007) (in Polish)
Jain, A.K., Pankanti, S.: A Touch of Money. IEEE Spectrum 43(7), 22–27 (2006)
Jain, A.K., Ross, A., Prabhakar, S.: An Introduction to Biometric Recognition. IEEE Transactions on Circuit and Systems for Video Technology, Special Issue on Image and Video-Based Biometrics 14(1), 4–20 (2004)
Jain, A.K., Pankanti, S.: Biometrics: A Tool for Information Security. IEEE Transactions on Information Forensics and Security 1(2), 125–143 (2006)
Kukharev, G., Kuzminski, A.: Biometric Techniques Part I - Face Recognition Methods. Szczecin University of Technology Press, Szczecin (2003) (in Polish)
Choras, M.: Ear Biometrics Based on Geometrical Feature Extraction. Electronic Letters on Computer Vision and Image Analysis 5(3), 84–95 (2005)
Kasprzak, K.: Criminalistic Otoscopy. University of Warmia and Mazury Press, Olsztyn (2003) (in Polish)
Holyst, B.: Criminalistics. LexisNexis Press, Warsaw (2004) (in Polish)
Burge, M., Burger, W.: Ear Biometrics for Computer Vision. In: Proc. of the 21st Workshop of the Austrian Association for Pattern Recognition, pp. 275–282 (1997)
Moreno, B., Sanches, A.: On the use of outer ear images for personal identification in security applications. In: Proc. of the IEEE 33rd Annual Intl. Conf. on Security Technology, pp. 469–476 (1999)
Hurley, D., Nixon, M., Carter, J.: Automatic Ear Recognition by Force Field Transformations. In: IEEE Colloquium on Visual Biometrics, vol. 5, pp. 7/1–7/5 (2000)
Hurley, D., Nixon, M., Carter, J.: Force Field Energy Functionals for Image Feature Extraction. Image and Vision computing 20(5-6), 311–317 (2002)
Chang, K., Bowyer, K., Sakar, S., Victor, B.: Comparison and combination of ear and face images in appearance-based biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1160–1165 (2003)
Mu, Z., Yuan, L., Xu, Z., Xi, D., Qi, S.: Shape and structural feature based ear recognition. In: Li, S.Z., Lai, J.-H., Tan, T., Feng, G.-C., Wang, Y. (eds.) SINOBIOMETRICS 2004. LNCS, vol. 3338, pp. 663–670. Springer, Heidelberg (2004)
Choras, M.: Biometric Methods of Person Identification Basing on Ear Images. Biuletyn Informacyjny Techniki Komputerowe, January 2004, 59–69 (2004) (in Polish)
Choras, M.: Ear Biometrics - Methods of Feature Extraction Basing on Geometrical Parameters. Przeglad Elektrotechniczny 82(12), 5–10 (2006) (in Polish)
Yan, P., Bowyer, K.: A Fast Algorithm for ICP-Based 3D Shape Biometrics. Computer Vision and Image Understanding 107(3), 195–202 (2007)
Yan, P., Bowyer, K., Chang, K.J.: ICP-Based Approaches for 3D Ear Recognition. In: Jain, A.K., Ratha, N.K. (eds.) Biometric Technology for Human Identification II, Proc. of the SPIE, vol. 5779, pp. 282–291 (2005)
Bhanu, B., Chen, H.: Human Ear Recognition in 3D. In: Proc. of the Workshop on Multimodal User Authentication, pp. 91–98 (2003)
Yan, P., Bowyer, K.: 2D and 3D ear recognition. In: Biometric Consortium Conference 2004, Arlington, Virginia (2004)
Akkermans, T.H.M., Kevenaar, T.A.M., Schobben, D.W.E.: Acoustic Ear Recognition. In: Zhang, D., Jain, A.K. (eds.) ICB 2005. LNCS, vol. 3832, pp. 697–705. Springer, Heidelberg (2005)
Hurley, D., Arbab-Zavar, B., Nixon, M.S.: The Ear as a Biometric. In: Proc. of EUSIPCO 2007, Poznan, Poland, pp. 25–29 (2007)
The Notre Dame University Database, http://www.nd.edu/~cvrl/
XM2VTSDB Database, http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/
Frejlichowski, D., Tyszkiewicz, N.: The Database of Digital Ears Images for Testing of Biometric Systems. In: Borzemski, L., Grzech, A., Swiatek, J., Wilimowska, Z. (eds.) Information Systems Architecture and Technology. Web Information Systems: Models, Concepts & Challenges, pp. 217–227. Wroclaw University of Technology Press, Wroclaw (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Frejlichowski, D., Tyszkiewicz, N. (2010). The West Pomeranian University of Technology Ear Database – A Tool for Testing Biometric Algorithms. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-13775-4_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
Online ISBN: 978-3-642-13775-4
eBook Packages: Computer ScienceComputer Science (R0)