DocumentCode
2735855
Title
Chinese signature verification with moment invariants
Author
Lin, Hai ; Li, Hai-Zhou
Author_Institution
Dept. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
Volume
4
fYear
1996
fDate
14-17 Oct 1996
Firstpage
2963
Abstract
Zernike moment invariants have been widely used in pattern recognition and image processing. In this paper, Chinese signature verification using normalized Zernike moment invariants (NZMI) is proposed. Different orders of moment invariants are studied. Simulation results show that the proposed approach for signature verification is rotation-invariant and scale-invariant, and the preliminary results we got are very promising. Furthermore experiments using projection are also carried out. The results are compared with those of NZMI
Keywords
handwriting recognition; Chinese signature verification; NZMI; image processing; normalized Zernike moment invariants; pattern recognition; rotation-invariant approach; scale-invariant approach; Data mining; Euclidean distance; Feature extraction; Forgery; Handwriting recognition; Image processing; Libraries; Pattern recognition; Shape; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.561436
Filename
561436
Link To Document