DocumentCode :
3224420
Title :
Reconstruction Algorithm of Iris Image with Great Depth of Field Based on Multi-focus Fusion
Author :
Gong, Yazhuo ; Shi, Pengfei
Author_Institution :
Inst. of Digital Printing, Univ. of Shanghai for Sci. & Technol., Shanghai
Volume :
2
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
165
Lastpage :
169
Abstract :
This paper presents a new reconstruction algorithm of iris image with great depth of field. First, the focus issue in image capture process is proposed, and characteristic of multi-focus iris image is discussed, which proves the feasibility of reconstruction of iris image with great depth of field based on multi-focus fusion. The proposed method uses antisymmetric biorthogonal wavelet to detect the iris texture edge, and according to the density of edge pixels, chooses the iris sub-regions of high articulation for image fusion. Finally, experimental data set compared with traditional non-fusion method is presented, and the proposed method shows its advantages in performance and practical value in registration process.
Keywords :
edge detection; image fusion; image reconstruction; image registration; image texture; wavelet transforms; antisymmetric biorthogonal wavelet; image capture; image fusion; image reconstruction; image registration; iris image; iris texture edge detection; multifocus fusion; Apertures; Cameras; Focusing; Forward contracts; Gray-scale; Image edge detection; Iris recognition; Lenses; Muscles; Reconstruction algorithms; depth of field; iris recognition; multi-focus images fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.135
Filename :
4659744
Link To Document :
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