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Author: Andreas Schlapbach
Publisher: IOS Press
ISBN: 9783898383110
Category : Computer vision
Languages : en
Pages : 164
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Book Description
Author: Andreas Schlapbach
Publisher: IOS Press
ISBN: 9783898383110
Category : Computer vision
Languages : en
Pages : 164
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Book Description
Author: Patrick Juola
Publisher: Now Publishers Inc
ISBN: 160198118X
Category : Authorship, Disputed
Languages : en
Pages : 116
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Book Description
Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.
Author: Seong-Whan Lee
Publisher: Springer
ISBN: 3540745491
Category : Computers
Languages : en
Pages : 1234
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Book Description
This book constitutes the refereed proceedings of the International Conference on Biometrics, ICB 2007, held in Seoul, Korea, August 2007. Biometric criteria covered by the papers are assigned to face, fingerprint, iris, speech and signature, biometric fusion and performance evaluation, gait, keystrokes, and others. In addition, the volume also announces the results of the Face Authentication Competition, FAC 2006.
Author: George Azzopardi
Publisher: Springer
ISBN: 9783319231914
Category : Computers
Languages : en
Pages : 0
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Book Description
The two volume set LNCS 9256 and 9257 constitutes the refereed proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015. The 138 papers presented were carefully reviewed and selected from numerous submissions. CAIP 2015 is the sixteenth in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields.
Author: Heidi H. Harralson
Publisher: CRC Press
ISBN: 1351648500
Category : Law
Languages : en
Pages : 614
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Book Description
"Forensic document examination is the study of physical evidence and physical evidence cannot lie. Only its interpretation can err. Only the failure to find it, or to hear its true testimony can deprive it of its value."—Roy Huber This is a comprehensive update of Huber and Headrick's seminal work on handwriting examination. New coverage includes a review of forensic handwriting examination research, handwriting analysis training and proficiency, revised methods and procedures, an updated listing and clarification of terminology and electronic signatures, the analysis of digitized handwriting, and other related technological advances. The book includes updated photographs, several added illustrations, and advances in techniques based on the scientific research conducted in the area over the last 20 years. Features of the new edition include: The latest on electronic signatures, digital handwriting, automated handwriting verification, and the many advances in technology and research over the last two decades An overview of the fundamentals of handwriting examination with updated discussion of the intrinsic and extrinsic variables associated with handwriting identification A review of the criticism of handwriting expert opinions and methodology, addressing both the strengths and scientific limitations of the area Fully revised while remaining true to the spirit and approach of original authors Roy Huber and A. M. Headrick Addition of nearly 200 new references and new glossary terms representing advances in research and methods. With extensive photographs to help clearly illustrate concepts, Huber and Headrick’s Handwriting Identification: Facts and Fundamentals, Second Edition serves as an invaluable reference to law libraries, practicing document examiners, forensic and criminal justice students, and every lawyer handling cases in which the authenticity of handwriting and documents might be disputed.
Author: Roy A. Huber
Publisher: CRC Press
ISBN: 9781420048773
Category : Law
Languages : en
Pages : 464
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Book Description
"Forensic document examination is the study of physical evidence and physical evidence cannot lie. Only its interpretation can err. Only the failure to find it, or to hear its true testimony can deprive it of its value." - Roy Huber, author A definitive review of handwriting identification, this book presents, in a general manner, how to approach document examination and then, in particular, how to apply handwriting identification to the document. Types of handwriting are discussed in detail. For the first time in the field of questioned document examination, Handwriting Identification: Facts and Fundamentals consolidates the pertinent information from published and unpublished sources respecting writing, that is essential to the expansion of a practitioner's general knowledge of handwriting identification and to the proper education of novices. Written in a question and answer format, the book suggests some of the questions that one might ask of an examiner and provides the answers that knowledgeable and competent examiners should be expected to give. This book is a valuable addition to law libraries and to every practicing document examiner, as well as every lawyer handling cases in which the authenticity of handwriting might be disputed.
Author: Aurélien Muise
Publisher: Springer Nature
ISBN: 303101572X
Category : Computers
Languages : en
Pages : 139
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Book Description
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data. We first introduce relevant definitions and classic metric functions, as well as examples of their use in machine learning and data mining. We then review a wide range of metric learning algorithms, starting with the simple setting of linear distance and similarity learning. We show how one may scale-up these methods to very large amounts of training data. To go beyond the linear case, we discuss methods that learn nonlinear metrics or multiple linear metrics throughout the feature space, and review methods for more complex settings such as multi-task and semi-supervised learning. Although most of the existing work has focused on numerical data, we cover the literature on metric learning for structured data like strings, trees, graphs and time series. In the more technical part of the book, we present some recent statistical frameworks for analyzing the generalization performance in metric learning and derive results for some of the algorithms presented earlier. Finally, we illustrate the relevance of metric learning in real-world problems through a series of successful applications to computer vision, bioinformatics and information retrieval. Table of Contents: Introduction / Metrics / Properties of Metric Learning Algorithms / Linear Metric Learning / Nonlinear and Local Metric Learning / Metric Learning for Special Settings / Metric Learning for Structured Data / Generalization Guarantees for Metric Learning / Applications / Conclusion / Bibliography / Authors' Biographies
Author: Josep Lladós
Publisher: Springer Nature
ISBN: 303086331X
Category : Computers
Languages : en
Pages : 878
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Book Description
This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports. The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.
Author: Jim Harper
Publisher: Cato Institute
ISBN: 193399536X
Category : Law
Languages : en
Pages : 292
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Book Description
The advance of identification technology-biometrics, identity cards, surveillance, databases, dossiers-threatens privacy, civil liberties, and related human interests. Since the terrorist attacks of September 11, 2001, demands for identification in the name of security have increased. In this insightful book, Jim Harper takes readers inside identification-a process everyone uses every day but few people have ever thought about. Using stories and examples from movies, television, and classic literature, Harper dissects identification processes and technologies, showing how identification works when it works and how it fails when it fails. Harper exposes the myth that identification can protect against future terrorist attacks. He shows that a U.S. national identification card, created by Congress in the REAL ID Act, is a poor way to secure the country or its citizens. A national ID represents a transfer of power from individuals to institutions, and that transfer threatens liberty, enables identity fraud, and subjects people to unwanted surveillance. Instead of a uniform, government-controlled identification system, Harper calls for a competitive, responsive identification and credentialing industry that meets the mix of consumer demands for privacy, security, anonymity, and accountability. Identification should be a risk-reducing strategy in a social system, Harper concludes, not a rivet to pin humans to governmental or economic machinery.
Author: Heidi H. Harralson
Publisher: Routledge
ISBN: 1317522885
Category : Law
Languages : en
Pages : 149
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Book Description
The examination of handwriting and signatures has a long and established history as a forensic discipline. With the advancement of technology in the use of digital tablets for signature capture, changes in handwriting examination are necessary. Other changes in handwriting, such as in increase in printed writing styles and the decrease in handwriting training in schools necessitates a re-examination of forensic handwriting identification problems. This text takes a fresh and modern look at handwriting examination as it pertains to forensic, legal, and criminal justice applications.
