DocumentCode
2863361
Title
A Real Time Personal Identification Based on Fourier Transform of Palmprint Recognition
Author
Yang, Shunyu
Author_Institution
Sch. of Inf. Eng., Hubei Univ. for Nat., Enshi, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
336
Lastpage
339
Abstract
In this paper, we propose a real time personal identification based on Fourier transform for palm-print recognition. An auto hand gesture segmentation method is proposed in the paper and after the segmentation, a modified Fourier transform are used for the image processing. Machine leaning based trainings are used to get the palm print trait database. At last, performances are shown for the identification.
Keywords
Fourier transforms; image segmentation; learning (artificial intelligence); palmprint recognition; Fourier transform; hand gesture segmentation method; image processing; machine leaning based training; palmprint recognition; palmprint trait database; realtime personal identification; Feature extraction; Fourier transforms; Image color analysis; Image segmentation; Real time systems; Skin; Streaming media; Fourier transform; palm-print; real-time;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location
Shenzhan
Print_ISBN
978-1-4577-1219-7
Type
conf
DOI
10.1109/IBICA.2011.89
Filename
6118777
Link To Document