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Hand Shape

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Encyclopedia of Biometrics
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Synonyms

Hand contour

Definition

A hand shape biometric system uses a camera or scanner-based device to acquire the hand image of a person from which shape information is extracted and compared against the information stored in a database to establish identity. In the enrollment stage, hand shape data is acquired from the registered users, feature sets are extracted from the acquired data, and one or multiple templates per individual are computed and stored in a database. In the deployment stage, one snapshot of the user’s hand is captured; a feature set is computed and then compared to the user’s templates in the database. Based on the comparison result, the claimed identity is accepted or denied.

A hand shape biometric system comprises the following modules: the sensor module, the feature extraction module, the matching module, and the decision-making module. The long-term system performance can be improved by an optional template adaptation module which updates (by averaging for...

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References

  1. M. Adán, A. Adán, A.S. Vázquez, R. Torres, Biometric verification/identification based on hands natural layout. Image Vis. Comput. 26(4), 451–465 (2008)

    Article  Google Scholar 

  2. G. Amayeh, G. Bebis, A. Erol, M. Nicolescu, Peg-free hand shape verification using high order Zernike moments, in Proceedings of the IEEE Workshop on Biometrics in Conjunction with CVPR06, New York, 2006

    Google Scholar 

  3. H. Chen, H. Valizadegan, C. Jackson, S. Soltysiak, A.K. Jain, Fake hands: spoofing hand geometry systems, in Biometric Consortium 2005, Washington, DC, 2005

    Google Scholar 

  4. N. Duta, A survey of biometric technology based on hand shape. Pattern Recognit. 42(11), 2797–2806 (2009)

    Article  Google Scholar 

  5. H. Dutağacı, B. Sankur, E. Yörük, A comparative analysis of global hand appearance-based person recognition. J. Electron. Imaging 17(1), 011018 (2008)

    Google Scholar 

  6. A.K. Jain, N. Duta, Deformable matching of hand shapes for user verification, in Proceedings of the IEEE International Conference on Image Processing (ICIP), Kobe, 1999, pp. 857–861

    Google Scholar 

  7. E. Kukula, S. Elliott, Implementation of hand geometry: an analysis of user perspectives and system performance. IEEE Aerosp. Electron. Syst. Mag. 21(3), 3–9 (2006)

    Article  Google Scholar 

  8. A. Morales, M. Ferrer, F. Díaz, J. Alonso, C. Travieso, Contact-free hand biometric system for real environments, in Proceedings of the 16th Euopean Signal Processing Conference (EUSIPCO), Laussane, 2008

    Google Scholar 

  9. N. Pavešić, S. Ribarić, D. Ribarić, Personal authentication using hand-geometry and palmprint features: the state of the art, in Proceedings of the Workshop on Biometrics at ICPR04, Cambridge, 2004

    Google Scholar 

  10. A. Ross, A.K. Jain, Biometrics, in Encyclopedia of Biometrics, this volume

    Google Scholar 

  11. V. Valencia, Biometric testing: it’s not as easy as you think, in Biometric Consortium Conference, Crystal City, 2003

    Google Scholar 

  12. R.N.J. Veldhuis, A.M. Bazen, W. Booij, A.J. Hendrikse, Hand-geometry recognition based on contour parameters, in SPIE Biometric Technology for Human Identification II, Orlando, 2005, pp. 344–353

    Google Scholar 

  13. D.L. Woodard, P.J. Flynn, Finger surface as a biometric identifier. Comput. Vis. Image Underst. 100(3), 357–384 (2005)

    Article  Google Scholar 

  14. E. Yörük, E. Konukoglu, B. Sankur, J. Darbon, Shape-based hand recognition. IEEE Trans. Image Process. 15(7), 1803–1815 (2006)

    Article  Google Scholar 

  15. E. Yörük, H. Dutagaci, B. Sankur, Hand biometrics. Image Vis. Comput. 24, 483–497 (2006)

    Article  Google Scholar 

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Correspondence to Nicolae Duta .

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© 2014 Springer Science+Business Media New York

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Duta, N. (2014). Hand Shape. In: Li, S., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-3-642-27733-7_259-2

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  • DOI: https://doi.org/10.1007/978-3-642-27733-7_259-2

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  • Online ISBN: 978-3-642-27733-7

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