A hierarchical model for the evaluation of biometric sample quality

The evaluation of biometric sample quality is of great importance in the evaluation of biometric algorithms. In this paper, we propose a novel hierarchical model to compute the sample quality on three levels. This model is developed on the basis of three types of influencing factors: global factors, subjective factors and variable factors. We adopt different strategies to compute the corresponding three level qualities: database level quality, class level quality and image level quality. The database level quality is estimated by experience. Then, we compute the mean value of variable number of normalize genuine scores, the quantiles of which are used to determine the class level quality. On the image level quality evaluation, a novel concept of subset frequency is proposed.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Qian He, Tieniu Tan, Yong Zou, Zhenan Sun
• Keywords: Class Level Quality, Computer Vision, ICPR 2008, Image Level Quality, Level Quality Evaluation