An Image Quality Assessment Algorithm for Palm-dorsa Vein Based on Multi-feature Fusion
In order to acquire more feature information in captured vein image with high-quality, an image quality assessment algorithm for palm-dorsa vein is presented based on multi-feature fusion. According to the statistical and structure properties of image, we can acquire the good vein image by adjusting near-infrared LED light exposure duty cycle combined with computing the four characteristic parameters of gray variance, information entropy, cross point and area of effect and then fusing those according to weights. In the end, an experimental case is given and the assessment results prove that this algorithm is efficient.
Vein Recognition Quality Assessment Multi-Feature Fusion Duty Cycle.
Cui Jianjiang Li Qi Jia Xu
No.11, Lane 3, Wenhua Road, Heping District, Shenyang, China
国际会议
上海
英文
96-99
2011-10-27（万方平台首次上网日期，不代表论文的发表时间）