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Quantitative assessment of hand vein image quality with double spatial indicators

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4 Author(s)
Ming-Yu Sheng ; School of optical-electrical and computer engineering, University of shanghai for science and technology, China ; Yuan Zhao ; Da-Wei Zhang ; Song-Lin Zhuang

Recognition of hand vein is becoming a research focus in biological recognition field, due to its particular advantage of uniqueness and livingness. The acquisition of clear vein image is an important premise for recognition. A quantitative assessment method of image quality is proposed based on two spatial indicators. It is shows that the relationship between the quantitative score of vein image and the drive current of near infrared light source obeys the cubic polynomial relationship. When the driven current equals 0.524 A, the image quality is optimal, and the corresponding score is 90.4. The quantitative self-consistent method developed in this work also can be applied to other digital image in more general applications.

Published in:

Multimedia Technology (ICMT), 2011 International Conference on

Date of Conference:

26-28 July 2011