DocumentCode :
1941003
Title :
Palm-line Extraction Using Steerable Filters
Author :
Wang, Yanxia ; Ruan, Qiuqi
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume :
3
fYear :
2006
fDate :
16-20 2006
Abstract :
Palm lines include principal lines and wrinkles, which can uniquely describe an individual palmprint. In this paper, a palm-line extraction approach is presented. It contains two stages: global filtering and local filtering. In the first stage, steerable filters are used in a whole image to extract rough palm lines and obtain approximate direction angles. In the second stage, using steerable filters further extracts palm lines and connects broken palm lines in local regions of a same palmprint image. Experimental results demonstrate the performance effectiveness of this approach
Keywords :
feature extraction; filtering theory; image recognition; global filtering-local filtering; palm-line extraction approach; palmprint image; steerable filters; Brightness; Data mining; Detectors; Image segmentation; Information filtering; Information filters; Information science; Nonlinear filters; Safety; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345916
Filename :
4129343
Link To Document :
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