Hierarchical Identification of Palmprint using Line-based Hough Transform

Authors:
Fang Li;Maylor K. H. Leung
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Year:
2006

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Abstract

The Hough Transform (HT) is a powerful technique for line detection. Its main advantage is that it is relatively unaffected by noise or gaps in lines. This work proposes a line-based Hough Transform method, which extracts global features for coarse-level filtering in hierarchical palmprint identification system. The local information extracted from position and orientation of individual line is used for further finelevel identification. Line-based Hausdorff Distance (LHD) algorithm is applied for local line matching. This is a novel approach to the application of the Hough transform for feature extraction of palmprint. Experiments had been conducted on a palmprint database collected by Hong Kong Polytechnic University. 99% identification rate has been achieved with much reduced running time.