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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 274))

Abstract

The article presents a new method for palm comparison based on the matching of palm shapes. The proposed approach allows comparison and recognition of palms with sticking fingers. The existing methods do not work correctly in this case, while it frequently appears in real environments (mostly among elderly people). The idea of the proposed method is to model a ”posture” of test palm on reference palm. The form of flexible object is used for palm modeling. This representation provides a convenient tool for applying palm transformations and allows us to perform them in real-time mode. Low resolution webcams can be used for palm image acquisition. The article also introduces the application of person recognition based on the proposed comparison. At the end of the article the problem of improving recognition characteristics of palm is addressed. Particularly, it provides a bimodal approach that employs palm and voice features.

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© 2013 Springer-Verlag Berlin Heidelberg

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Bakina, I. (2013). Palm Shape Comparison for Person Recognition. In: Csurka, G., Kraus, M., Mestetskiy, L., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2011. Communications in Computer and Information Science, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32350-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-32350-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32349-2

  • Online ISBN: 978-3-642-32350-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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