Title :
A Real Time Personal Identification Based on Fourier Transform of Palmprint Recognition
Author_Institution :
Sch. of Inf. Eng., Hubei Univ. for Nat., Enshi, China
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;
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
DOI :
10.1109/IBICA.2011.89
