Title :
Auto Palmprint Segmentation and Sobel Based Detection for Personal Idenfication
Author_Institution :
Sch. of Inf. Eng., Hubei Univ. for Nat., Enshi, China
Abstract :
A new algorithm for palm segmentation for personal identification to process real time hand-palm images is presented in this paper. The suggested approach is based on characteristics of human hand palms in an image after certain processing for the quick identification. The segmentation step follows the hand palm real time extraction from sequenced images or videos. The achieved results will give a rigid presentation that the auto palm print segmentation can satisfy the real time personal identification we need.
Keywords :
feature extraction; image segmentation; image sequences; palmprint recognition; video signal processing; Sobel based detection; auto palmprint segmentation; hand palm real time extraction; hand-palm image processing; image sequence; personal idenfication; video sequence; Humans; Image color analysis; Image edge detection; Image segmentation; Real time systems; Skin; Videos; auto-segmentation; palm print; personal;
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.2011.88