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Book
Latent print processing guide
Authors: ---
ISBN: 0128035439 0128035072 9780128035436 9780128035078 Year: 2016 Publisher: Amsterdam, [Netherlands] : Elsevier,

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Automated fingerprint identification systems (AFIS)
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ISBN: 1281008214 9786611008215 0080475981 141757741X 9781417577415 9780080475981 0124183514 Year: 2005 Publisher: Amsterdam Boston Elsevier Academic

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An easy-to-understand synopsis of identification systems, presenting in simple language the process of fingerprint identification, from the initial capture of a set of finger images, to the production of a Rapsheet. No other single work exists which reviews this important identification process from beginning to end. We examine the identification process for latent (crime scene) prints and how they are identified with these systems. While the primary focus is automated fingerprint identifications, the book also touches on the emergence and use of fingerprints in other biometric systems.Cr

Suspect identities
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ISBN: 0674029682 9780674029682 0674004558 9780674004559 9780674010024 Year: 2002 Publisher: Cambridge, Mass. Harvard University Press

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As we rush headlong into the era of genetic identification, and as fingerprint errors are being exposed, this history uncovers the fascinating interplay of our elusive individuality, police and state power, and the quest for scientific certainty.


Book
Automated fingerprint identification : background and interoperability strategy
Authors: --- ---
ISBN: 1634833058 Year: 2015 Publisher: New York : Nova Publishers,

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Book
Contactless 3D Fingerprint Identification
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ISBN: 3319676814 3319676806 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system. Topics and features: Introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques Proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo Describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans Examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates Reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach Discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University. He has previously served as an Assistant Professor at the Department of Electrical Engineering, IIT Delhi. He is a Fellow of IEEE and IAPR. His other publications include the Springer title Deep Learning for Biometrics.


Book
Handbook of fingerprint recognition
Author:
ISBN: 1447161068 1848822537 1848822545 Year: 2009 Publisher: New York : Springer,

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With their proven distinctiveness and stability over time, fingerprints continue to be the most widely used anatomical characteristic in systems that automatically recognize a person's identity. This markedly enhanced second edition provides in-depth coverage of the recent advances and practices in fingerprint recognition. Readers will find comprehensive and authoritative coverage of all the major concepts, topics, and systems and security issues associated with fingerprint recognition systems. Written with the same formula that made the success of the first edition, this unique professional reference includes state-of-the-art techniques in fingerprint matching, and covers developments in sensor technology, performance evaluation, international standards, and system security. Features & Benefits: * Covers the latest research in fingerprint recognition algorithms and techniques * Reviews recent guidelines for scanner quality evaluation and certification, and provides examples of new fingerprint sensors * Provides introductory material on all components and modules of a fingerprint recognition system * Covers evaluations of fingerprint recognition algorithms and interoperability, including: FpVTE, MINEX, FVC2004 and FVC2006 * Integrates numerous supporting graphs, tables, charts, and performance data *Examines the design of secure fingerprint systems * Supplies an extensive annotated bibliography of citations and literature sources. * Contains helpful chapter overviews and summaries and consistent notation, for ease of use and accessibility The revised edition of this indispensable reference, written by leading international researchers, covers all critical aspects of fingerprint security systems and technology. It is an essential resource for all security and biometrics professionals, researchers, practitioners, developers, and systems administrators, and can serve as an easy-to-read reference for a graduate course on biometrics. Davide Maltoni is associate professor in the Department of Electronics, Informatics and Systems (DEIS) at the University of Bologna, where he also co-directs the Biometrics Systems Laboratory (BioLab). Dario Maio is full professor in the University of Bologna’s DEIS and a co-director of the BioLab. He holds two patents on fingerprint liveness detection. Anil K. Jain is university-distinguished professor in the Department of Computer Science and Engineering at Michigan State University. He is a fellow of the IEEE, ACM and IAPR and holds six patents on algorithms for fingerprint recognition. Salil Prabhakar is the Chief Scientist of DigitalPersona Inc., a leading provider of fingerprint identity solutions for consumers, enterprises, and custom application developers. Key Topics * Fingerprint individuality * Fingerprint sensing * Biometric fusion * Synthetic fingerprint generation * Minutiae detection * Fingerprint system security * Performance evaluation * Feature extraction, matching, and indexing.

Keywords

Fingerprints. --- Fingerprints --- Engineering & Applied Sciences --- Social Welfare & Social Work --- Electrical & Computer Engineering --- Social Sciences --- Electrical Engineering --- Computer Science --- Criminology, Penology & Juvenile Delinquency --- Identification --- Classification --- Dactylography --- Dactyloscopy --- Finger marks --- Finger-printing --- Finger prints --- Fingerprinting --- Computer science. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Computer Graphics. --- Artificial Intelligence (incl. Robotics). --- Anthropometry --- Dermatoglyphics --- Optical pattern recognition. --- Computer vision. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Digital techniques --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment

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