@article{933027,
      recid = {933027},
      author = {Liu, Feng. and Zhao, Qijun. and Zhang, David,},
      title = {Advanced fingerprint recognition : from 3D shape to ridge  detail /},
      pages = {1 online resource (x, 214 pages) :},
      abstract = {Fingerprints are among the most widely used biometric  modalities and have been successfully applied in various  scenarios. For example, in forensics, fingerprints serve as  important legal evidence; and in civilian applications,  fingerprints are used for access and attendance control as  well as other identity services. Thanks to advances in  three-dimensional (3D) and high-resolution imaging  technology, it is now feasible to capture 3D or  high-resolution fingerprints to provide extra information  and go beyond the traditional features such as global ridge  patterns and local ridge singularities used in conventional  fingerprint recognition tasks. This book presents the state  of the art in the acquisition and analysis of 3D and  high-resolution fingerprints. Based on the authors  research, this book focuses on advanced fingerprint  recognition using 3D fingerprint features (i.e., finger  shape, level 0 features) or high-resolution fingerprint  features (i.e., ridge detail, level 3 features). It is a  valuable resource for researchers, professionals and  graduate students working in the field of computer vision,  pattern recognition, security/biometrics practice, as well  as interdisciplinary researchers.},
      url = {http://library.usi.edu/record/933027},
}