Title :
A novel finger vein pattern extraction method using oriented filtering technology
Author :
Wang, Kejun ; Ma, Hui ; Popoola, Oluwatoyin P. ; Li, Xuefeng
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
To extract finger vein features effectively and efficiently, a novel algorithm based on oriented filter for finger vein extraction is proposed. The proposed algorithm calculates a direction map and uses a group of designed oriented filters to facilitate the extraction of the characteristic vein pattern from the enhanced finger vein image. Experimental results show that this new algorithm not only extracts smooth and continuous vein features, but also effective in removing noise from low-quality images.
Keywords :
feature extraction; filtering theory; fingerprint identification; image denoising; image enhancement; characteristic vein pattern; designed oriented filters; direction map; enhanced finger vein image; finger vein extraction; finger vein feature extraction; finger vein pattern extraction method; low-quality images; oriented filtering technology; removing noise; Feature extraction; Filtering algorithms; Fingerprint recognition; Fingers; Image segmentation; Pixel; Veins; directional image; finger vein extraction; oriented filter;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554393