Guoqiang Li

Learn More
We propose an approach to assess the quality of fingerprint samples captured by smartphone cameras under real-life scenarios. Our approach extracts a set of quality features for image blocks. Without needing segmenta-tion, the approach determines a sample's quality by checking all image blocks divided from the sample and for each block a trained support(More)
This paper proposes an approach to qualifying fingerprint samples captured by smartphone cameras under real-life scenarios , foreseeing the future application using such general purposed cameras as fingerprint sensors. In this approach, a sample image is first divided into non-overlapping blocks. Then a 7-dimensional feature vector will be formed from the(More)
  • 1