DocumentCode
2607937
Title
Hierarchical Identification of Palmprint using Line-based Hough Transform
Author
Li, Fang ; Leung, Maylor K H
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Volume
4
fYear
0
fDate
0-0 0
Firstpage
149
Lastpage
152
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 fine-level 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
Keywords
Hough transforms; feature extraction; filtering theory; image recognition; Hausdorff distance; Hough transform; coarse-level filtering; fine-level identification; global feature extraction; hierarchical palmprint identification; information extraction; line detection; local line matching; palmprint database; palmprint feature extraction; Data mining; Feature extraction; Filtering; Image databases; Image edge detection; Object oriented databases; Pattern recognition; Power engineering and energy; Power engineering computing; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.622
Filename
1699803
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