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http://dx.doi.org/10.6109/jkiice.2015.19.4.948

ROI Extraction and Enhancement for Finger Vein Recognition  

Lee, Ju-Won (Department of Medical Engineering, Andong Science College)
Lee, Byeong-Ro (Department of Electronics Engineering, Gyeongnam National University of Science and Technology)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.4, 2015 , pp. 948-953 More about this Journal
Abstract
Recently, the finger vein recognition based on NIR and CCD sensor camera is investigating the technology to identify a personal using by biometrics. The performance difference of finger vein recognition is generated according to methods that are to separate the vein and background from noises such as finger thickness, ambient light, skin temperature, etc. To improve these problems, in this study, we are proposing the methods for rotation, ROI extraction, and enhancement of vein image captured by NIR LED and CCD camera, and were evaluated performances of these methods. In results of the experiment, the accuracy of the proposed method for image rotation and ROI extraction was 99.8%. And the proposed filter bank method in vein enhancement has shown better performance than retinex algorithm. The proposed method for results of these experimentations will provide better recognition rate when applied to the preprocessing of finger vein recognition.
Keywords
Finger vein recognition; ROI extraction; filter bank; Vein enhancement;
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