LEADER 03943nam 22005775 450 001 996465446103316 005 20200705055016.0 010 $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 $a996465446103316 996 $aAdvanced Fingerprint Recognition: From 3D Shape to Ridge Detail$92257584 997 $aUNISA LEADER 01575nas 2200493- 450 001 996304250303316 005 20230125213019.0 011 $a2590-1575 035 $a(DE-599)ZDB2967210-7 035 $a(OCoLC)1084235927 035 $a(CKB)4100000007223701 035 $a(CONSER)--2019243133 035 $a(EXLCZ)994100000007223701 100 $a20190131a20199999 --- a 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFood chemistry: X 210 1$a[Amsterdam] :$cElsevier Ltd.,$d2019- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 330 2 $a"Food Chemistry X publishes papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/approach used." 531 10$aFood Chem X 606 $aFood$xAnalysis$vPeriodicals 606 $aFood$xComposition$vPeriodicals 606 $aFood Analysis 606 $aNutritional Physiological Phenomena 606 $aFood$xAnalysis$2fast$3(OCoLC)fst00930460 606 $aFood$xComposition$2fast$3(OCoLC)fst00930485 608 $aPeriodical. 608 $aPeriodicals.$2fast 610 $aDiet & Clinical Nutrition 615 0$aFood$xAnalysis 615 0$aFood$xComposition 615 12$aFood Analysis. 615 22$aNutritional Physiological Phenomena. 615 7$aFood$xAnalysis. 615 7$aFood$xComposition. 906 $aJOURNAL 912 $a996304250303316 996 $aFood Chemistry: X$92073198 997 $aUNISA