A Non-Contact Finger Vein Image Quality Assessment Method
2012 ◽
Vol 239-240
◽
pp. 986-989
Keyword(s):
A finger vein image quality assessment method is based on both the human visual characteristics and finger vein image characteristics captured by the use of contactless and near infrared rays. We present an HSNR (signal to Noise ratio based on human visual system) finger vein image quality evaluation index by simulating the human visual system, and integrating the HSNR with effective area score, finger shifting score and contrast score to obtain the total image quality score of the finger vein image. Experimental results demonstrate that the proposed method is consistent with subjective assessment by humans, and thus can be used to describe the visual perception of the image effectively.
2014 ◽
Vol 4
(5)
◽
pp. 195
Keyword(s):
2013 ◽
Vol 33
(3)
◽
pp. 691-694
◽
Keyword(s):