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Author: R Plamondon
Publisher: World Scientific
ISBN: 9814501735
Category : Computers
Languages : en
Pages : 180
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Book Description
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
Author: R Plamondon
Publisher: World Scientific
ISBN: 9814501735
Category : Computers
Languages : en
Pages : 180
Get Book
Book Description
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
Author: Rjean Plamondon
Publisher: World Scientific
ISBN: 9789810218522
Category : Computers
Languages : en
Pages : 188
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Book Description
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.
Author: Verma, Brijesh
Publisher: IGI Global
ISBN: 1599048094
Category : Computers
Languages : en
Pages : 454
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Book Description
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
Author: Dr. Muhammad Sarfraz
Publisher: John Wiley & Sons
ISBN: 047009415X
Category : Technology & Engineering
Languages : en
Pages : 518
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Book Description
Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.
Author: José Ruiz-Shulcloper
Publisher: Springer
ISBN: 3540859209
Category : Computers
Languages : en
Pages : 828
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Book Description
This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008. The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering.
Author: Arturo Hernández Aguirre
Publisher: Springer
ISBN: 3642052584
Category : Computers
Languages : en
Pages : 759
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Book Description
This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.
Author: David D. Zhang
Publisher: Springer Science & Business Media
ISBN: 1461510538
Category : Computers
Languages : en
Pages : 455
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Book Description
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.
Author: Bernd Reusch
Publisher: Springer Science & Business Media
ISBN: 3540427325
Category : Computers
Languages : en
Pages : 1020
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Book Description
This book constitutes the refereed proceedings of the International Conference on Computational Intelligence, 7th Dortmund Fuzzy Days, held in Dortmund, Germany, in October 2001. The 71 revised full papers presented were carefully reviewed and selected from an overwhelming number of submissions. Also included are four invited contributions and 24 poster presentations. The papers are devoted to foundational and practical issues in fuzzy systems, soft computing, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.
Author: David D. Zhang
Publisher: Springer Science & Business Media
ISBN: 1461545196
Category : Computers
Languages : en
Pages : 336
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Book Description
Biometrics-based authentication and identification are emerging as the most reliable method to authenticate and identify individuals. Biometrics requires that the person to be identified be physically present at the point-of-identification and relies on `something which you are or you do' to provide better security, increased efficiency, and improved accuracy. Automated biometrics deals with physiological or behavioral characteristics such as fingerprints, signature, palmprint, iris, hand, voice and face that can be used to authenticate a person's identity or establish an identity from a database. With rapid progress in electronic and Internet commerce, there is also a growing need to authenticate the identity of a person for secure transaction processing. Designing an automated biometrics system to handle large population identification, accuracy and reliability of authentication are challenging tasks. Currently, there are over ten different biometrics systems that are either widely used or under development. Some automated biometrics, such as fingerprint identification and speaker verification, have received considerable attention over the past 25 years, and some issues like face recognition and iris-based authentication have been studied extensively resulting in successful development of biometrics systems in commercial applications. However, very few books are exclusively devoted to such issues of automated biometrics. Automated Biometrics: Technologies and Systems systematically introduces the technologies and systems, and explores how to design the corresponding systems with in-depth discussion. The issues addressed in this book are highly relevant to many fundamental concerns of both researchers and practitioners of automated biometrics in computer and system security.
Author: Sargur N. Srihari
Publisher: Springer
ISBN: 3540853030
Category : Computers
Languages : en
Pages : 238
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Book Description
This Lecture Notes in Computer Science (LNCS) volume contains the papers presented at the Second International Workshop on Computational Forensics (IWCF 2008), held August 7–8, 2008. It was a great honor for the organizers to host this scienti?c event at the renowned National Academy of Sciences: Keck Center in Washington, DC, USA. Computational Forensics is an emerging research domain focusing on the investigation of forensic problems using computational methods. Its primary goalis the discoveryand advancement of forensicknowledgeinvolving modeling, computer simulation, and computer-based analysis and recognition in studying and solving forensic problems. The Computational Forensics workshop series is intended as a forum for researchers and practitioners in all areas of computational and forensic sciences. This forum discusses current challenges in computer-assisted forensic investi- tions and presents recent progress and advances. IWCF addresses a broad spectrum of forensic disciplines that use computer tools for criminal investigation. This year’s edition covers presentations on c- putational methods for individuality studies, computer-based3D processing and analysis of skulls and human bodies, shoe print preprocessing and analysis, n- ural language analysis and information retrieval to support law enforcement, analysis and group visualization of speech recordings, scanner and print device forensics, and computer-based questioned document and signature analysis.
