Abstract
A hand-geometry recognition system is presented. The development and evaluation of the system includes feature selection experiments using an existing publicly available hand database (50 users, 500 right hand images). The obtained results show that using a very small feature vector high recognition rates can be achieved. Additionally, various experimental findings related to feature selection are obtained. For example, we show that the least discriminative features are related to the palm geometry and thumb shape. A comparison between the proposed system and a reference one is finally given, showing the remarkable performance obtained in the present development when considering the best feature combination.
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Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. on Circuits and Systems for Video Technology. 14, 4–20 (2004)
Sanchez-Reillo, R., Sanchez-Avila, C., Gonzalez-Marcos, A.: Biometric identification through hand geometry measurements. IEEE Trans. on Pattern Analysis and Machine Intelligence. 22, 1168–1171 (2000)
Yörük, E., Konukoglu, E., Sankur, B.: Shape-Based Hand Recognition. IEEE Trans. on Image Processing. 15, 1803–1815 (2006)
Oden, C., Ercil, A., Buke, B.: Combining implicit polynomials and geometric features for hand recognition. Patter Recognition Letter 24, 2145–2152 (2003)
Zhang, D., Kong, W.K., You, J., Wong, M.: Online Palmprint Identification. IEEE Trans. on Pattern Analysis and Machine Intelligence. 25, 1041–1050 (2003)
Kumar, A., Wong, D.C.M., Shen, H.C., Jain, A.K.: Personal authentication using hand images. Pattern Recognition Letters 27, 1478–1486 (2006)
Geoffroy, F., Likforman, L., Darbon, J., Sankur, B.: The Biosecure geometry-based system for hand modality. In: ICASSP, vol. 147, pp. 195–197 (2007)
González, S., Travieso, C.M., Alonso, J.B., Ferrer, M.A.: Automatic biometric identification system by hand geometry. In: Proceedings. IEEE 37th Annual 2003 International Carnahan Conference Security Technology, 2003, pp. 281–284 (2003)
Dutagaci, H., Fouquier, G., Yoruk, E., Sankur, B., Likforman-Sulem, L., Darbon, J.: Hand Recognition. In: Petrovska-Delacretaz, D., Chollet, G., Dorizzi, B. (eds.) Guide to Biometric Reference Systems and Performance Evaluation. Springer, London (2008)
Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assessment of detection task performance. In: EUROSPEECH 1997, pp. 1895–1898 (1997)
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© 2009 Springer-Verlag Berlin Heidelberg
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Burgues, J., Fierrez, J., Ramos, D., Ortega-Garcia, J. (2009). Comparison of Distance-Based Features for Hand Geometry Authentication. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_42
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DOI: https://doi.org/10.1007/978-3-642-04391-8_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04390-1
Online ISBN: 978-3-642-04391-8
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