DocumentCode :
3021671
Title :
Quantitative assessment of hand vein image quality with double spatial indicators
Author :
Sheng, Ming-Yu ; Zhao, Yuan ; Zhang, Da-Wei ; Zhuang, Song-Lin
Author_Institution :
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
642
Lastpage :
645
Abstract :
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.
Keywords :
image recognition; infrared imaging; light sources; medical image processing; polynomials; biological recognition field; cubic polynomial relationship; digital image; double spatial indicator; hand vein image quality; hand vein recognition; near infrared light source; quantitative assessment; quantitative score; quantitative self consistent method; Fingerprint recognition; Image quality; Image recognition; Light sources; Veins; Image quality evaluation; Vein recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6001672
Filename :
6001672
Link To Document :
بازگشت