Performance study on methodologies of quality evaluation of fingerprint

초록

Fingerprint sample quality evaluation (FSQE) is an important issue in fingerprint recognition. This paper reviews existing methodologies for FSQE and gives out the definition of fingerprint quality. Then, the representative set of quality measures is analyzed by studying their performance and their correlation. The purpose of this work is to produce a single scalar quantity based on human perception by combining existing quality measures. For the experiments, eleven FVC data sets were selected. In order to compare the distribution of fingerprint quality scores, all of the selected databases were combined into one database by ignoring the difference of sensor type and be tested for each quality measures.