Advances In Structural And Syntactic Pattern Recognition - Proceedings Of The International Workshop

Advances In Structural And Syntactic Pattern Recognition - Proceedings Of The International Workshop

Author: Horst Bunke

Publisher: World Scientific

Published: 1993-02-23

Total Pages: 636

ISBN-13: 9814505153

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Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.This book gives an overview of the latest developments and achievements in the field.


Advances in Structural and Syntactical Pattern Recognition

Advances in Structural and Syntactical Pattern Recognition

Author: Petra Perner

Publisher: Springer Science & Business Media

Published: 1996-08-07

Total Pages: 412

ISBN-13: 9783540615774

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This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.


International Conference on Advances in Pattern Recognition

International Conference on Advances in Pattern Recognition

Author: Sameer Singh

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 474

ISBN-13: 1447108337

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International Conference on Advances in Pattern Recognition (ICAPR 98) at Plymouth represents an important meeting for advanced research in pattern recognition. There is considerable interest in the areas of image processing, medical imaging, speech recognition, document analysis and character recognition, fuzzy data analysis and neural networks. ICAPR 98 is aimed at providing an international platform for invited research in this multi-disciplinary area. It is expected that the conference will grow in future years to include more research contributions that detail state-of the-art research in pattern recognition. ICAPR 98 attracted contributions from different countries of the highest quality. I should like to thank the programme and organising committee for doing an excellent job in organising this conference. The peer reviewed nature of the conference ensured high quality publications in these proceedings. My personal thanks to Mrs. Barbara Davies who served as conference secretary and worked tirelessly in organising the conference. I thank the organising chair for the local arrangements and our should also key-note, plenary and tutorial speakers for their valuable contributions to the conference. I also thank Springer-Verlag for publishing these proceedings that will be a valuable source of research reference for the readers. Finally, I thank all participants who made this conference successful.


Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Author: Ana Fred

Publisher: Springer Science & Business Media

Published: 2004-07-28

Total Pages: 1187

ISBN-13: 3540225706

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This book constitutes the refereed proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and the 5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, held jointly in Lisbon, Portugal, in August 2004. The 59 revised full papers and 64 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 219 submissions. The papers are organized in topical sections on graphs; visual recognition and detection; contours, lines, and paths; matching and superposition; transduction and translation; image and video analysis; syntactics, languages, and strings; human shape and action; sequences and graphs; pattern matching and classification; document image analysis; shape analysis; multiple classifier systems; density estimation; clustering; feature selection; classification; and representation.


Document Analysis Systems - Proceedings Of The International Association For Pattern Recognition Workshop

Document Analysis Systems - Proceedings Of The International Association For Pattern Recognition Workshop

Author: Andreas Dengel

Publisher: World Scientific

Published: 1995-05-31

Total Pages: 486

ISBN-13: 9814549789

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The 1st International Workshop on Document Analysis Systems (DAS94,) is a full workshop on research and development of systems for the analysis of document images.This volume will be of use to academic and industrial researchers, end-users, students and principal investigators.


Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Author: International Association for Pattern Recognition

Publisher: Springer Science & Business Media

Published: 2002-07-24

Total Pages: 884

ISBN-13: 3540440119

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This book constitutes the refereed proceedings of the 9th International Workshop on Structural and Syntctic Pattern Recognition, SSPR 2002 and the 4th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2002 held jointly in Windsor, Ontario, Canada in August 2002. The 45 revised full papers and 35 poster papers presented together with three invited papers were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on graphs, grammars, and languages; graphs, strings, and grammars; documents and OCR; image shape analysis and application; density estimation and distribution models; multi classifiers and fusion; feature extraction and selection; general methodology; and image shape analysis and application.


Advances in Pattern Recognition - ICAPR 2001

Advances in Pattern Recognition - ICAPR 2001

Author: Sameer Singh

Publisher: Springer

Published: 2003-06-29

Total Pages: 491

ISBN-13: 3540447326

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The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples of original image segments from the original documents and their magnitude of the detected edges respectively. The magnitude of the gradient is converted into the gray level value. The darker the edge is, the larger is the gradient magnitude. It is obvious that the topmost strong edges correspond to foreground edges. It should be noted that, while usually, the foreground writing appears darker than the background image, as shown in sample image Figure 2(a), there are cases where the foreground and background have similar intensities as shown in Figure 2(b), or worst still, the background is more prominent than the foreground as in Figure 2(c). So using only the intensity value is not enough to differentiate the foreground from the background. (a) (b) (c) (d) (e) (f)


Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition

Author: Xiao Bai

Publisher: Springer

Published: 2018-08-10

Total Pages: 525

ISBN-13: 3319977857

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This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.


Progress In Image Analysis And Processing Iii - Proceedings Of The 7th International Conference On Image Analysis And Processing

Progress In Image Analysis And Processing Iii - Proceedings Of The 7th International Conference On Image Analysis And Processing

Author: Sebastiano Impedovo

Publisher: World Scientific

Published: 1994-04-06

Total Pages: 760

ISBN-13: 9814552437

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This volume contains the proceedings of the 7ICIAP held in Monopoli, Italy.Some of the Areas Covered Include: Active Vision, Computer Vision System; Data Structures and Representations; Feature Extraction; Geometric Modelling; Human Perception and Computer Vision; Image Analysis; Language for Image Modelling; Processing and Retrieval; Motion Analysis and Time Varying Images; Neurocomputing for Recognition; Parallel Computer Architecture; Pattern Recognition; Picture and Video Coding.


Graph-Based Methods in Computer Vision: Developments and Applications

Graph-Based Methods in Computer Vision: Developments and Applications

Author: Bai, Xiao

Publisher: IGI Global

Published: 2012-07-31

Total Pages: 395

ISBN-13: 1466618922

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Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.