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
Link To Document :
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