Palmprint identification using pairwise relative angle and EMD

Authors:
Fang Li;Maylor K. H. Leung;Shirley Z. W. Tan
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Year:
2007

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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.