Abstract
Biometric authentication based on human physical traits has recently been heavily studied; these biometric sources include face, hand geometry, voice, fingerprint, iris, retina, etc. The hand geometry is one of the most conventional biometric since it is fairly easy to implement and acquire the data, comparing to other biometrics such as retina, iris, or DNA sequences. In this work, we propose a novel time series representation for hand geometry system by converting raw images into time series data, where this representation can gracefully handle variability of hand’s position, translation, and rotation, especially in a peg-free system with the help of a Dynamic Time Warping similarity measure. We demonstrate the utility of our approach by implement-ting the real hand geometry verification/identification system, and it has proven to work effectively and competitively with low false acceptance and false rejection rates.
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
Jain, A., Bolle, R., Pankanti, S.: Biometrics Personal Identification in Networked Society: Personal Identification in Networked Society (1998)
Gandhi, A.: Content-based Image Retrieval: Plant species Identification. MS Thesis, Oregon State U. (2002)
Jain, A., Hong, L., Pankanti, S.: Biometric identification. Communication of the ACM 43, 90–98 (2000)
Keogh, E., Wei, L., Xi, X., Lee, S.-H., Vlachos, M.: LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. In: Proceedings of the 32nd VLDB, pp. 882–893 (2006)
Kumar, A., Wong, D.C., Shen, H.C., Jain, A.K.: Personal Verification Using Palm print and Hand Geometry Biometric. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 668–678. Springer, Heidelberg (2003)
Kumar, A., Wong, D.C., Shen, H.C., Jain, A.K.: Personal authentication using hand images. Pattern Recognition Letters 27(13), 1478–1486 (2006)
Ong, M.G.-K., Connie, T., Jin, A.T.-B., Ling, D.N.-C.: A Single-Sensor Hand Geometry and Palmprint Verification System. In: Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, pp. 100–106. ACM Press, New York (2003)
Ratanamahatana, C.A., Keogh, E.: Everything you know about Dynamic Time Warping is Wrong. In: Proceedings of 3rd SIGKDD Workshop on Mining Temporal and Sequential Data, at 10th ACM SIGKDD, ACM Press, New York (2004)
Sanchez-Reillo, R., Sanchez-Avila, C., Gonzalez-Marcos, A.: Biometric identification through hand geometry measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1168–1171 (2000)
Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 43–49 (1978)
Toh, K.A., Xiong, W., Yau, W.-Y., Jiang, X.: Combining Fingerprint and Hand-Geometry Verification Decisions. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 688–696. Springer, Heidelberg (2003)
Wong, A.L.-N., Shi, P.: Peg-Free Hand Geometry Recognition Using Hierarchical Geometry and Shape Matching. In: IAPR Workshop on Machine Vision Applications (2002)
Zunkel, L.R.: Hand Geometry Based Verification. In: Biometrics: Personal identification in networked society, pp. 87–101. Kluwer Academic Publishers, Dordrecht (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niennattrakul, V., Wanichsan, D., Ratanamahatana, C.A. (2007). Hand Geometry Verification Using Time Series Representation. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_104
Download citation
DOI: https://doi.org/10.1007/978-3-540-74827-4_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
eBook Packages: Computer ScienceComputer Science (R0)