LEADER 03945nam  22005775  450 
001 9910409668003321
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010   $a981-15-4128-0
024 7 $a10.1007/978-981-15-4128-5
035   $a(CKB)4100000011264518
035   $a(MiAaPQ)EBC6207845
035   $a(DE-He213)978-981-15-4128-5
035   $a(PPN)248393553
035   $a(EXLCZ)994100000011264518
100   $a20200522d2020      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Fingerprint Recognition: From 3D Shape to Ridge Detail$b[electronic resource] /$fby Feng Liu, Qijun Zhao, David Zhang
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (216 pages)
300   $aIncludes index.
311   $a981-15-4127-2 
327   $aPreface -- 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.
330   $aFingerprints 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.
606   $aBiometrics (Biology)
606   $aPattern recognition
606   $aOptical data processing
606   $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
615  0$aBiometrics (Biology).
615  0$aPattern recognition.
615  0$aOptical data processing.
615 14$aBiometrics.
615 24$aPattern Recognition.
615 24$aImage Processing and Computer Vision.
676   $a363.258
700   $aLiu$b Feng$4aut$4http://id.loc.gov/vocabulary/relators/aut$0429829
702   $aZhao$b Qijun$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910409668003321
996   $aAdvanced Fingerprint Recognition: From 3D Shape to Ridge Detail$92257584
997   $aUNINA