03918nam 22005775 450 991040966800332120200705055016.0981-15-4128-010.1007/978-981-15-4128-5(CKB)4100000011264518(MiAaPQ)EBC6207845(DE-He213)978-981-15-4128-5(PPN)248393553(EXLCZ)99410000001126451820200522d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Fingerprint Recognition: From 3D Shape to Ridge Detail /by Feng Liu, Qijun Zhao, David Zhang1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (216 pages)Includes index.981-15-4127-2 Preface -- Chapter 1: Introduction -- Chapter 2: Overview: 3D Fingerprints -- Chapter 3: 3D Fingerprint Generation -- Chapter 4: 3D Fingerprint Authentication -- Chapter 5: Applications of 3D Fingerprints -- Chapter 6: Overview: High Resolution Fingerprints -- Chapter 7: High Resolution Fingerprint Acquisition -- Chapter 8 : Fingerprint Pore Extraction -- Chapter 9: Pore-Based Partial Fingerprint Alignment -- Chapter 10: Fingerprint Pore Matching -- Chapter 11: Quality Assessment of High Resolution Fingerprints -- Chapter 12: Fusion of Extended Fingerprint Features -- Chapter 13: Book Review and Future Work.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.Biometrics (Biology)Pattern recognitionOptical data processingBiometricshttps://scigraph.springernature.com/ontologies/product-market-codes/I22040Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Biometrics (Biology).Pattern recognition.Optical data processing.Biometrics.Pattern Recognition.Image Processing and Computer Vision.363.258Liu Fengauthttp://id.loc.gov/vocabulary/relators/aut429829Zhao Qijunauthttp://id.loc.gov/vocabulary/relators/autZhang Davidauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910409668003321Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail2257584UNINA