Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail
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Beschreibung
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 3features). 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.
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.
Introduces the recent advances in acquiring and analyzing 3D and high-resolution fingerprints Presents practical approaches to extract 3D fingerprint features and high-resolution fingerprint features Covers the whole procedure of fingerprint processing: acquisition, authentication, alignment, quality assessment, applications, etc
Autor*in
Feng Liu
Themen in »Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail«
Fingerprint Recognition Three-dimensional (3D) Fingerprints High-Resolution Fingerprints Fingerprint Acquisition Fingerprint Alignment Extended Fingerprint Features Finger Shape Fingerprint Ridge Detail Fingerprint Pores Fingerprint Quality Assessment Biometrics Authentication Biometrics Security