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Handbook of remote biometrics

No review available on this record. Title : Handbook of remote biometrics : for surveillance and security Material Type: printed text Authors: Massimo Tistarelli, Editor ; Stan Z. Li, Editor Publisher: Springer (London-New York) Publication Date: 2009 Pagination: xiii, 381 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-84882-384-6 General note: Includes bibliographical references and index Languages : English (eng) Original Language : English (eng) Descriptors: Biometric identification Electronic surveillance Class number: 363.232 Abstract: This comprehensive and innovative handbook covers aspects of biometrics from the perspective of recognizing individuals at a distance, in motion, and under a surveillance scenario. Features: Starts with a thorough introductory chapter; Provides topics from a range of different perspectives offered by an international collection of leading researchers in the field; Contains selected expanded contributions from the 5th IAPR International Summer School for Advanced Studies on Biometrics for Secure Authentication; Investigates issues of iris recognition, gait recognition, and touchless fingerprint recognition, as well as various aspects of face recognition; Discusses multibiometric systems, and machine learning techniques; Examines biometrics ethics and policy; Presents international standards in biometrics, including those under preparation. This state-of-the-art volume is designed to help form and inform professionals, young researchers, and graduate students in advanced biometric technologies. Contents note: Advances in remote biometrics at a distance : issues, challenges and prospectsstan; Iris recognition - beyond one meter; View invariant gait recognition; Advanced technologies for touchless fingerprint recognition; Face recognition in humans and machines; Face recognition at a distance : System issues; Long range facial image acquisition and quality; A Review of video-based face recognition algorithms; 3D Face Recognition : technology and applications; Machine learning techniques for biometrics; Multibiometric systems : overview, case studies and open issues; Ethics and policy of biometrics; Selected contributions from students of the international summer school on biometrics assessment of a footstep biometric verification system; Keystroke dynamics-based credential hardening systems; Detection of singularities in fingerprint images using linear phase portraits; Frequency-based fingerprint recognition; Index; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=13885

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Barcode	Call number	Media type	Location	Section	Status
1702-000702	363.232 Handbo 2009	General Collection	Library "Max van der Stoel"	English	Not for loan

Image Registration / Ardeshir Goshtasby

No review available on this record. Title : Image Registration : Principles, Tools and Methods Material Type: printed text Authors: Ardeshir Goshtasby, Author Publisher: Springer (London-New York) Publication Date: 2012 Series: Advances in computer vision and pattern recognition Pagination: xviii, 441 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-447-12457-3 General note: Includes bibliographical references (p. 432-434) Includes glossary (p. 435-436) Includes index (p. 437-441) Languages : English (eng) Original Language : English (eng) Descriptors: Computer graphics Image processing - Digital techniques Class number: 006.6 Abstract: This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image re sampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA. Contents note: Introduction; Similarity and Dissimilarity Measures; Point Detectors; Feature Extraction; Image Descriptors; Feature Selection and Heterogeneous Descriptors; Point Pattern Matching; Robust Parameter Estimation; Transformation Functions; Image Resembling and Com-positing; Image Registration Methods; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=16229

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Barcode	Call number	Media type	Location	Section	Status
1702-001533	006.6 Gos-Ima 2012	General Collection	SEEU Library Skopje	English	Available