DocumentCode
2863378
Title
Auto Palmprint Segmentation and Sobel Based Detection for Personal Idenfication
Author
Yang, Shunyu
Author_Institution
Sch. of Inf. Eng., Hubei Univ. for Nat., Enshi, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
332
Lastpage
335
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;
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.2011.88
Filename
6118778
Link To Document