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Palmprint Identification Using Pairwise Relative Angle and EMD

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4781))

Abstract

This paper presents an efficient matching algorithm for the palmprint identification system. Line segments are extracted from an image as primitives. Each local structure is represented by a set of pair-wise angle relationships, which are simple, invariant to translation and rotation, robust to end-point erosion, segment error, and sufficient for discrimination. The Earth Mover’s Distance (EMD) was proposed to match the pairwise relative angle histograms. EMD not only supports partial matching but it also establishes a neighbouring relationship in the lines information during the matching process. The system employs low-resolution palmprint images captured by normal digital camera and achieves higher identification accuracy with lower time complexity.

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Guoping Qiu Clement Leung Xiangyang Xue Robert Laurini

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© 2007 Springer-Verlag Berlin Heidelberg

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Li, F., Leung, M.K.H., Tan, S.Z.W. (2007). Palmprint Identification Using Pairwise Relative Angle and EMD. In: Qiu, G., Leung, C., Xue, X., Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2007. Lecture Notes in Computer Science, vol 4781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76414-4_18

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  • DOI: https://doi.org/10.1007/978-3-540-76414-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76413-7

  • Online ISBN: 978-3-540-76414-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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