Developments In Handwriting And Signature Identification In The Digital Age Advances In Handwriting Research And Technology
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Developments In Handwriting And Signature Identification In The Digital Age
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Author : Heidi H. Harralson
language : en
Publisher: Routledge
Release Date : 2014-09-25
Developments In Handwriting And Signature Identification In The Digital Age written by Heidi H. Harralson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Law categories.
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.
Developments In Handwriting And Signature Identification In The Digital Age Advances In Handwriting Research And Technology
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Author : Heidi H. Harralson
language : en
Publisher:
Release Date : 2015
Developments In Handwriting And Signature Identification In The Digital Age Advances In Handwriting Research And Technology written by Heidi H. Harralson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Electronic books categories.
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.
Advances In Digital Handwritten Signature Processing
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Author : Giuseppe Pirlo
language : en
Publisher: World Scientific
Release Date : 2014-05-30
Advances In Digital Handwritten Signature Processing written by Giuseppe Pirlo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-30 with Computers categories.
In the age of e-society, handwritten signature processing is an enabling technology in a multitude of fields in the “digital agenda” of many countries, ranging from e-health to e-commerce, from e-government to e-justice, from e-democracy to e-banking, and smart cities. Handwritten signatures are very complex signs; they are the result of an elaborate process that depends on the psychophysical state of the signer and the conditions under which the signature apposition process occurs. Notwithstanding, recent efforts from academies and industries now make possible the integration of signature-based technologies into other standard equipment to form complete solutions that are able to support the security requirements of today's society. Advances in Digital Handwritten Signature Processing primarily provides an update on the most fascinating and valuable researches in the multifaceted field of handwritten signature analysis and processing. The chapters within also introduce and discuss critical aspects and precious opportunities related to the use of this technology, as well as highlight fundamental theoretical and applicative aspects of the field. This book contains papers by well-recognized and active researchers and scientists, as well as by engineers and commercial managers working for large international companies in the field of signature-based systems for a wide range of applications and for the development of e-society. This publication is devoted to both researchers and experts active in the field of biometrics and handwriting forensics, as well as professionals involved in the development of signature-based solutions for advanced applications in medicine, finance, commerce, banking, public and private administrations, etc. Handwritten Signature Processing may also be used as an advanced textbook by graduate students. Contents:Stability Analysis of Online Signatures in the Generation Domain (Giuseppe Pirlo, Donato Impedovo, Rejean Plamondon and Christian O'Reilly)Exploiting Stability Regions for Online Signature Verification (Antonio Parziale and Angelo Marcelli)Two Bioinspired Methods for Dynamic Signatures Analysis (Jânio Canuto, Bernadette Dorizzi and Jogurta Montalvão)Using Global Features for Pre-Classification in Online Signature Verification Systems (Marianela Parodi and Juan C Gómez)Instance Selection Method in Multi-Expert System for Online Signature Verification (Giuseppe Pirlo, Donato Barbuzzi and Donato Impedovo)Towards a Shared Conceptualization for Automatic Signature Verification (Markus Liwicki, Muhammad Imran Malik and Charles Berger)Offline Signature Verification Based on Probabilistic Representation of Grid Events (Konstantina Barkoula, Elias N Zois, Evangelos Zervas and George Economou)Local Features for Off-Line Forensic Signature Verificaton (Muhammad Imran Malik, Markus Liwicki and Andreas Dengel)Emerging Issues for Static Handwritten Signature Biometrics (Moises Diaz-Caprera, Aythami Morales and Miguel A Ferrer)Biometric Signatures in Mobility: The Need for Transformation and the Opportunity for Innovation (Emilio Paterlini)Biometric Handwritten Solution: A World in a Signature (Carlo Nava) Readership: Professionals, experts & researchers in the fields of biometrics and signature-based technology/solutions; advanced graduate students. Keywords:Handwritten Signature;Biometry;Digital Forensics;Personal Verification;Open Society
Huber And Headrick S Handwriting Identification
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Author : Heidi H. Harralson
language : en
Publisher: CRC Press
Release Date : 2017-12-14
Huber And Headrick S Handwriting Identification written by Heidi H. Harralson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-14 with Law categories.
"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.
Handwriting
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Author : Byron Leite Dantas Bezerra
language : en
Publisher: Nova Science Publishers
Release Date : 2017
Handwriting written by Byron Leite Dantas Bezerra and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with COMPUTERS categories.
This book has the primary goal of presenting and discussing some recent advances and ongoing developments in the Handwritten Text Recognition (HTR) field, resulting from works done on different HTR-related topics for the achievement of more accurate and efficient recognition systems. Nowadays, there is an enormous worldwide interest in HTR systems, which is mostly driven by the emergence of new portable devices incorporating handwriting recognition functions. Others interests are the biometric identification systems employing handwritten signatures, as well as the requirements from cultural heritage institutions like historical archives and libraries in order to preserve their large collections of historical (handwritten) documents. The book is organized into two sections: the first one is mainly devoted to describing the current state-of-the-art applications in HTR and the last advances in some of the steps involved in HTR workflow (that is, preprocessing, feature extraction, recognition engines, etc.), whereas the second focuses more on some relevant HTR-related applications.In more depth, the first part offers an overview of the current state-of-the-art applications of HTR technology and introduces the new challenges and research opportunities in the field. Besides, it provides a general discussion of currently ongoing approaches towards solving the underlying search problems on the basis of existing methods for HTR in terms of both accuracy and efficiency. In particular, there are chapters especially focused on image thresholding and enhancement, text image preprocessing techniques for historical handwritten documents and feature extraction methods for HTR. Likewise, in line with the breakout success of Deep Neural Networks (DNNs) in the field, a whole chapter is devoted to describing the designing of HTR systems based on DNNs. Finally, a chapter listing the most used benchmarking datasets for HTR is also included, providing detailed information about which types of HTR systems (on/offline) and features are commonly considered for each of them.In the second part, several systems -- also developed on the basis of the fundamental concepts and general approaches outlined in the first part -- are described for several HTR-related applications. Presented in the corresponding chapters, these applications cover a wide spectrum of scenarios: mathematical formulae recognition, scripting language recognition, multimodal handwriting-speech recognition, hardware design for online HTR, student performance evaluation through handwriting analysis, performance evaluation methods, keyword spotting, and handwritten signature verification systems.Last but not least, it is important to remark that to a large extent, this book is the result of works carried out by several researchers in the Handwritten Text Recognition field.Therefore, it owes credit to these researchers that have directly contributed to their ideas, discussions and technical collaborations, and in general who, in one manner or another, have made it possible.
Handwriting
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Author : Byron Leite Dantas Bezerra
language : en
Publisher:
Release Date : 2017
Handwriting written by Byron Leite Dantas Bezerra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Graphology categories.
This book has the primary goal of presenting and discussing some recent advances and ongoing developments in the Handwritten Text Recognition (HTR) field, resulting from works done on different HTR-related topics for the achievement of more accurate and efficient recognition systems. Nowadays, there is an enormous worldwide interest in HTR systems, which is mostly driven by the emergence of new portable devices incorporating handwriting recognition functions. Others interests are the biometric identification systems employing handwritten signatures, as well as the requirements from cultural heritage institutions like historical archives and libraries in order to preserve their large collections of historical (handwritten) documents. The book is organised into two sections: the first one is mainly devoted to describing the current state-of-the-art applications in HTR and the last advances in some of the steps involved in HTR workflow (that is, pre-processing, feature extraction, recognition engines, etc.), whereas the second focuses more on some relevant HTR-related applications. In more depth, the first part offers an overview of the current state-of-the-art applications of HTR technology and introduces the new challenges and research opportunities in the field. Besides, it provides a general discussion of currently ongoing approaches towards solving the underlying search problems on the basis of existing methods for HTR in terms of both accuracy and efficiency. In particular, there are chapters especially focused on image thresholding and enhancement, text image pre-processing techniques for historical handwritten documents and feature extraction methods for HTR. Likewise, in line with the breakout success of Deep Neural Networks (DNNs) in the field, a whole chapter is devoted to describing the designing of HTR systems based on DNNs. Finally, a chapter listing the most used benchmarking datasets for HTR is also included, providing detailed information about which types of HTR systems (on/offline) and features are commonly considered for each of them. In the second part, several systems also developed on the basis of the fundamental concepts and general approaches outlined in the first part -- are described for several HTR-related applications. Presented in the corresponding chapters, these applications cover a wide spectrum of scenarios: mathematical formulae recognition, scripting language recognition, multimodal handwriting-speech recognition, hardware design for online HTR, student performance evaluation through handwriting analysis, performance evaluation methods, keyword spotting, and handwritten signature verification systems. Last but not least, it is important to remark that to a large extent, this book is the result of works carried out by several researchers in the Handwritten Text Recognition field. Therefore, it owes credit to these researchers that have directly contributed to their ideas, discussions and technical collaborations, and in general who, in one manner or another, have made it possible.
Biometric Solutions
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Author : David D. Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Biometric Solutions written by David D. Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Biometric Solutions for Authentication in an E-World provides a collection of sixteen chapters containing tutorial articles and new material in a unified manner. This includes the basic concepts, theories, and characteristic features of integrating/formulating different facets of biometric solutions for authentication, with recent developments and significant applications in an E-world. This book provides the reader with a basic concept of biometrics, an in-depth discussion exploring biometric technologies in various applications in an E-world. It also includes a detailed description of typical biometric-based security systems and up-to-date coverage of how these issues are developed. Experts from all over the world demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms, architectures, and implementations for biometric-based applications in an E-world.
Progress In Automatic Signature Verification
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Author : R Plamondon
language : en
Publisher: World Scientific
Release Date : 1994-10-28
Progress In Automatic Signature Verification written by R Plamondon and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-10-28 with Computers categories.
This volume highlights some of the multidisciplinary aspects of automatic signature verification. The first two chapters serve as an introduction. The first constitutes a review of the literature of the past five years. The second addresses the problem of parallel strategies to construct and optimize feature vectors to describe a signature. The remaining six chapters are divided into two sections: research on static systems and research on dynamic systems. The section on off-line systems describes a system, based on cooperative neural networks for the automatic processing of signatures on checks, for background removal as well as a model-based system that segments the signature into elements which are then processed locally and globally to evaluate the similarity between two specimens. The three papers on on-line systems compare three verification methods, based on statistical models of signature features using the same benchmark, describe a step-wise verification method based on the analysis of the signature components and describe the different design phases of an operational system, focusing on the various decisions that have to be made throughout the development of such a prototype. Contents:Automatic Signature Verification: The State of the Art — 1989–1993 (F Leclerc & R Plamondon)An Evaluation of Parallel Strategies for Feature Vector Construction in Automatic Signature Verification Systems (M C Fairhurst and P Brittan)A Static Signature Verification System Based on a Cooperating Neural Networks Architecture (H Cardot et al.)Off-Line Verification of Japanese Signatures After Elimination of Background Patterns (I Yoshimura & M Yoshimura)Structural Interpretation of Handwritten Signature Images (R Sabourin et al.)Statistical Methods for On-Line Signature Verification (W Nelson et al.)Component-Oriented Algorithms for Signature Verification (G Dimauro et al.)The Design of an On-Line Signature Verification System: From Theory to Practice (R Plamondon) Readership: Computer scientists. keywords:Automatic Signature Verification;Feature Vector Construction;Static Signature Verification System;Off-Line Verification;Structural Interpretation;Statistical Methods; Component-Oriented Algorithms;On-Line Signature Verification Sytems
Progress In Handwriting Recognition
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Author : Sebastiano Impedovo
language : en
Publisher: World Scientific
Release Date : 1997-07-04
Progress In Handwriting Recognition written by Sebastiano Impedovo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-04 with categories.
Handwriting Recognition has become a very important research area which is attracting more and more scientists. In fact, the extraordinary advances in the field of data acquisition technology and the promising results of the research, nowadays make possible the development of commercial systems for processing and recognition of handwritten documents.This book contains the results of the activity of the most important academic and industrial research groups working in this area. The new issues arising in the field are focused and involve both theoretical and practical aspects related to handwriting recognition and document processing systems. The contributions of eminent experts point out the more interesting challenges for the scientific community ranging from acquisition and preprocessing of handwritten documents, to recognition of handwritten digits and words, to the design of multi-expert systems and the exploitation of the contextual knowledge to improve system performance.
Advances In Handwriting Recognition
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Author : Seong-Whan Lee
language : en
Publisher: World Scientific
Release Date : 1999-06-01
Advances In Handwriting Recognition written by Seong-Whan Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-01 with Computers categories.
Advances in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998. Most of the papers have been expanded or extensively revised to include helpful discussions, suggestions or comments made during the workshop. Contents:On-Line Hand Writing Recognition by Discrete HMM with Fast Learning (H Yasuda et al.)Diacritical Processing Using Efficient Accounting Procedures in a Forward Search (G Seni & J Seybold)A Handwritten Form Reader Architecture (C Cracknell & A C Downton)Combining Different Classifiers and Level of Knowledge: A First Step Towards an Adaptive Recognition System (D Ollivier et al.)Architecture for Handwritten Text Recognition Systems (G Kim et al.)Search Algorithms for the Recognition of Cursive Phrases Without World Segmentation (C Scagliola)A Method for the Determination of Features Used in Human Reading of Cursive Handwriting (L Schomaker & E Segers)Global Methods for Stroke Segmentation (Y Nakajima et al.)An Advanced Segmentation Technique for Cursive Word Recognition (G Dimauro et al.)Document Understanding Based on Maximum a Posteriori Probability Estimation (T Akagi & H Mizutani)Combining Shape Matrices and HMMs for Hand-Drawn Pictogram Recognition (S Muller et al.)and other papers Readership: Researchers and graduate students in computer science and electrical engineering. Keywords:Handwriting Recognition;Character Recognition;Document Analysis and Recognition;OCR (Optical Character Recognition);Online Recognition;Offline Recognition;Pen-Computing