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Hand Shape

  • Reference work entry
Encyclopedia of Biometrics

  • 109 Accesses

Synonym

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. Due to its limited discrimination power, a hand shape biometric system mostly operates in verification mode; that is the system confirms or negates the claimed identity of an individual.

Introduction

An increasing number of systems require positive identification before allowing an individual to use their services. Biometric systems are already employed in domains that require some sort of user verification. It is generally accepted that fingerprint and iris patterns can uniquely define each member of an extremely large population which makes them suitable for large-scale recognition (establishing a subject’s identity). However, in many small-population applications, because of privacy or limited resources, it is only needed to...

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References

  1. Amayeh, G., Bebis, G., Erol, A., Nicolescu, M.: Peg-Free Hand Shape Verification Using High Order Zernike Moments. In: Proceedings of the IEEE Workshop on Biometrics in conjunction with CVPR06, New York, June, 2006

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  2. Ross, A., Jain, A.K.: Biometrics. Encyclopedia of Biometrics

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  3. Yörük, E., Dutagaci, H., Sankur, B.: Hand Biometrics. Image Vis. Comput. 24, 483–497 (2006)

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  4. Jain, A.K., Duta, N.: Deformable Matching of Hand Shapes for User Verification. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), Kobe, Japan, 857–861 (1999)

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  5. Veldhuis, R.N.J., Bazen, A.M., Booij, W., Hendrikse, A.J.: Hand-Geometry Recognition Based on Contour Parameters. In: SPIE Biometric Technology for Human Identification II, Orlando, FL, 344–353 (2005)

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  6. Yörük, E., Konukoglu, E., Sankur, B., Darbon, J.: Shape-Based Hand Recognition. IEEE Trans. Image Process. 15(7), 1803–1815 (2006)

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Author information

Authors and Affiliations

  1. Nuance Communications, Burlington, MA, USA

    Nicolae Duta

Authors
  1. Nicolae Duta
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li (Professor) (Professor)

  2. Departments of Computer Science & Engineering, Michigan State University, East Lansing, MI, USA

    Anil Jain (Professor) (Professor)

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© 2009 Springer Science+Business Media, LLC

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Duta, N. (2009). Hand Shape. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_259

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