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MVA
2002

Automatic Feature Extraction from non-uniform Finger Vein Image and its Application to Personal Identification

13 years 10 months ago
Automatic Feature Extraction from non-uniform Finger Vein Image and its Application to Personal Identification
A new method to extract vein patterns from an unclear finger image is proposed. Finger vein pattern can be used for personal identification technology. The finger vein image that is captured with infrared light contains not only the vein patterns but also irregular shades and noises. They result from the different thickness between finger bones and muscles and, light intensity fluctuations also produce them. Therefore, the robustness and the tolerance to the uneven luminance and noises in pattern extraction algorithm are required. In this paper, we propose a method for extracting the finger vein patterns in the image that is unclear and/or affected by the fluctuations of LED intensity. The method is based on special line tracking that starts at various positions. The robustness of the finger vein extraction method against LED intensity fluctuation is tested and the result shows the performance of the method is more robust than the conventional method. In the evaluation of the personal...
Naoto Miura, Akio Nagasaka, Takafumi Miyatake
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where MVA
Authors Naoto Miura, Akio Nagasaka, Takafumi Miyatake
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