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http://dx.doi.org/10.6109/jkiice.2018.22.4.734

Enhanced Vein Detection Method by Using Image Scaler Based on Poly Phase Filter  

Kim, HeeKyung (Department of Electronic Engineering, Dong-A University)
Lee, Seungmin (Department of Electronic Engineering, Dong-A University)
Kang, Bongsoon (Department of Electronic Engineering, Dong-A University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.5, 2018 , pp. 734-739 More about this Journal
Abstract
Fingerprint recognition and iris recognition, which are one of the biometric methods, are easily influenced by external factors such as sunlight. Recently, finger vein recognition is used as a method utilizing internal features. However, for accurate finger vein recognition, it is important to clearly separate vein and background regions. However, it is difficult to separate the vein region and background region due to the abnormalized illumination, and a method of separating the vein region and the background region after normalized the illumination of the input image has been proposed. In this paper, we proposed a method to enhance the quality improvement and improve the processing time compared to the existing finger vein recognition system binarization and labeling method of the image including the image stretching process based on the existing illumination normalization method.
Keywords
Vein detection; Biometric; image scaler; illumination normalization;
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Times Cited By KSCI : 4  (Citation Analysis)
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