DocumentCode :
3221961
Title :
Low contrast hand vein image enhancement
Author :
Yakno, M. ; Saleh, J. Mohamad ; Rosdi, B. Affendi
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
390
Lastpage :
392
Abstract :
An image of hand vein acquired by near-infrared (NIR) imaging device usually suffers from low contrast and noise due to non-illumination and thickness of the hand skin. This makes subsequent processing such as segmentation difficult. In this work, combination of histogram-based and fuzzy-based contrast enhancement algorithms are applied on hand vein images. Comparative analysis on a test image using different contrast enhancement algorithms has shown that the Fuzzy Histogram Hyperbolization proposed method outperforms its counterparts.
Keywords :
fuzzy set theory; image enhancement; infrared imaging; vein recognition; fuzzy histogram hyperbolization; fuzzy-based contrast enhancement algorithms; hand skin thickness; histogram-based contrast enhancement algorithms; low contrast hand vein image enhancement; near-infrared imaging device; nonillumination; test image; Algorithm design and analysis; Conferences; Helium; Histograms; Image enhancement; Iron; Veins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144135
Filename :
6144135
Link To Document :
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