Advances in Pattern Recognition ICAPR 2001Advances in Pattern Recognition ICAPR 2001



This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001.

Author: INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RE

Publisher: Springer Science & Business Media

ISBN: 9783540417675

Category:

Page: 476

View: 827

This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.

Advances in Pattern Recognition ICAPR 2001Advances in Pattern Recognition ICAPR 2001



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.

Author: Sameer Singh

Publisher: Springer

ISBN: 9783540447320

Category:

Page: 482

View: 152

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)

Advances in Pattern Recognition ICAPR 2001Advances in Pattern Recognition ICAPR 2001



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.

Author: Sameer Singh

Publisher: Springer

ISBN: 3662165120

Category:

Page: 482

View: 653

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)

Progress in Pattern Recognition Image Analysis and ApplicationsProgress in Pattern Recognition Image Analysis and Applications



ICAPR'2001 - International Conference on Advances in Pattern Recognition, volume 2013 of Lecture Notes in Computer Science, Springer-Verlag Press, ...

Author: Alberto Sanfeliu

Publisher: Springer Science & Business Media

ISBN: 3540298509

Category:

Page: 1094

View: 758

This book constitutes the refereed proceedings of the 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, held in Havana, Cuba in November 2005. The 107 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from more than 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition.

Pattern Recognition in BiologyPattern Recognition in Biology



In Computer Vision and Pattern Recognition, 2005 IEEE Computer Society ... and W. Kropatsch, editors, Advances in Pattern Recognition - ICAPR 2001.

Author: Marsha S. Corrigan

Publisher: Nova Publishers

ISBN: 1600217168

Category:

Page: 253

View: 246

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading-edge research from around the world.

Research Anthology on Advancements in Quantum TechnologyResearch Anthology on Advancements in Quantum Technology



Quantum Mechanics in Computer Vision: Automatic Object Extraction. Proc. ICIP 2013, 2489–2493. ... Advances in Pattern Recognition ICAPR:2001, 60–71.

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781799887409

Category:

Page: 468

View: 551

Quantum technology has arrived as one of the most important new topics of research, as it is the newest way to create computing power, harness secure communications, and use sensitive measurement methods that surpass the capabilities of modern supercomputers. If successfully developed, quantum computers and technology will be able to perform algorithms at impressively quick rates and solve problems that were previously deemed impossible. This technology will disrupt what is already known about computing and will be able to reach new heights, speeds, and problem-solving capabilities not yet seen. Beyond its inherent benefits comes the fact that quantum technology will create improvements in many everyday gadgets as well, spanning many industries. The Research Anthology on Advancements in Quantum Technology presents the latest discoveries in quantum technology itself along with providing its essential uses, applications, and technologies that will impact computing in modern times and far into the future. Along with this overview comes a look at quantum technology in many different fields such as healthcare, communications, aviation, automotive, forecasting, and more. These industries will be looked at from the perspective of data analytics, pattern matching, cryptography, algorithms, and more. This book is essential for computer scientists, engineers, professionals, researchers, students, and practitioners interested in the latest information on quantum technology.

Hybrid Methods in Pattern RecognitionHybrid Methods in Pattern Recognition



... overfitting in learning text patterns for document categorisation. In Second International Conference on Advances in Pattern Recognition (ICAPR 2001), ...

Author: Horst Bunke

Publisher: World Scientific

ISBN: 9789810248321

Category:

Page: 324

View: 801

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and so on. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.

Distributed Sensor NetworksDistributed Sensor Networks



Image and Sensor Signal Processing (Volume One) S. Sitharama Iyengar, ... in Advances in Pattern RecognitionICAPR 2001: Second International Conference, ...

Author: S. Sitharama Iyengar

Publisher: CRC Press

ISBN: 9781000755664

Category:

Page: 764

View: 674

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for

Web Document AnalysisWeb Document Analysis



... pattern recognition: two new concepts in graph matching” in Advances in Pattern RecognitionICAPR 2001, eds. S. Singh, N. Murshed, and W. Kropatsch, ...

Author: Apostolos Antonacopoulos

Publisher: World Scientific

ISBN: 9789812385826

Category:

Page: 334

View: 837

This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field, including web image processing, applications of machine learning and graph theories fat content extraction and web mining, adaptive web content delivery, multimedia document modeling and human interactive proofs for web security.

Developments in Intelligent Agent Technologies and Multi Agent Systems Concepts and ApplicationsDevelopments in Intelligent Agent Technologies and Multi Agent Systems Concepts and Applications



Pattern matching and neural networks based hybrid forecasting system. Advances in Pattern Recognition - ICAPR 2001, pp. 72-82. Smith, D. M. D., Onnela ...

Author: Trajkovski, Goran

Publisher: IGI Global

ISBN: 9781609601737

Category:

Page: 396

View: 133

Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.

Active Media TechnologyActive Media Technology



processed again, otherwise delivers the recognized text codes into editing task Sequences. ... Advances in Pattern Recognition. pages 105-114, ICAPR 2001.

Author: Jian Ping Li

Publisher: World Scientific

ISBN: 9789814486194

Category:

Page: 536

View: 892

This book captures the essence of the current state of research in active media technology and identifies the new changes and opportunities — both current and future — in the field. Distinguished researchers such as Prof Ning Zhong from the Maebashi Institute of Technology, Prof John Yen from the Pennsylvania State University, and Prof Sanker K Pal from the Indian Statistical Institute present their research papers. Contents: Web Intelligence — A New Paradigm for Developing E-Business Intelligence (N Zhong)On Modeling and Simulating Agent Teamwork in Cast (J Yen et al.)Properties of Clustering Coefficient in Random Agent Networks (X Jing & J Liu)Research of the Radar Transmitter Power Measurement Based on Virtual Instrument (H Li et al.)Electroencephalogram Experiments of Human Visual and Auditory Calculation for Designing Brain Computer Interface in an Active Computer System (J Wu et al.)Behavior and Security Extensions to FIPA Architecture and Specifications (V S Alagar & J Holliday)Mobile Agent-Based Digital City Spatial Information Service (X Zhang et al.)A Built-in Data Security Scheduling in Distributed Real-Time Control System (F Zhang et al.)An Effective Method for Constructing Hopfield Neural Network in Arbitrary Waveform Synthesizer Design (S Zhang et al.)A Signal Processing Application for Non Destructive Testing of Material Structures (V H Tu & K Siljeg)An Embedded Web Media Development Platform (Y Wang et al.)Mixed Feature Extracting Approaches for License-Plate Recognition (H Dong & P Wang)and other papers Readership: Graduate students, academics and researchers in computer science. Keywords:Agents;Active Computer Systems;Intelligent Systems;Multi Model Processing;Active Media

Quantum Inspired Intelligent Systems for Multimedia Data AnalysisQuantum Inspired Intelligent Systems for Multimedia Data Analysis



Pattern Recognition with Quantum Neural Networks. Proc. Advances in Pattern Recognition ICAPR:2001, 60–71. Feynman, R. P., Leighton, R. B., & Sands, ...

Author: Bhattacharyya, Siddhartha

Publisher: IGI Global

ISBN: 9781522552208

Category:

Page: 329

View: 393

As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

11th Mediterranean Conference on Medical and Biological Engineering and Computing 200711th Mediterranean Conference on Medical and Biological Engineering and Computing 2007



Ventricular Late Potential Detection, Electronics Letters, Vol.35, No.16, ... ICAPR'2001 - International Conference on Advances in Pattern Recognition, ...

Author: Tomaz Jarm

Publisher: Springer Science & Business Media

ISBN: 9783540730446

Category:

Page: 1156

View: 796

Biomedical engineering brings together bright minds from diverse disciplines, ranging from engineering, physics, and computer science to biology and medicine. This book contains the proceedings of the 11th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2007, held in Ljubljana, Slovenia, June 2007. It features relevant, up-to-date research in the area.

Fingerprints and Other Ridge Skin ImpressionsFingerprints and Other Ridge Skin Impressions



Brazelle, M. (2015), Whorl pattern analysis: Determining directional flow, ... in fingerprint images, in Advances in Pattern RecognitionICAPR 2001 (Vol.

Author: Christophe Champod

Publisher: CRC Press

ISBN: 9781315353210

Category:

Page: 428

View: 316

Since its publication, the first edition of Fingerprints and Other Ridge Skin Impressions has become a classic in the field. This second edition is completely updated, focusing on the latest technology and techniques—including current detection procedures, applicable processing and analysis methods—all while incorporating the expansive growth of literature on the topic since the publication of the original edition. Forensic science has been challenged in recent years as a result of errors, courts and other scientists contesting verdicts, and changes of a fundamental nature related to previous claims of infallibility and absolute individualization. As such, these factors represent a fundamental change in the way training, identifying, and reporting should be conducted. This book addresses these questions with a clear viewpoint as to where the profession—and ridge skin identification in particular—must go and what efforts and research will help develop the field over the next several years. The second edition introduces several new topics, including Discussion of ACE-V and research results from ACE-V studies Computerized marking systems to help examiners produce reports New probabilistic models and decision theories about ridge skin evidence interpretation, introducing Bayesnet tools Fundamental understanding of ridge mark detection techniques, with the introduction of new aspects such as nanotechnology, immunology and hyperspectral imaging Overview of reagent preparation and application Chapters cover all aspects of the subject, including the formation of friction ridges on the skin, the deposition of latent marks, ridge skin mark identification, the detection and enhancement of such marks, as well the recording of fingerprint evidence. The book serves as an essential reference for practitioners working in the field of fingermark detection and identification, as well as legal and police professionals and anyone studying forensic science with a view to understanding current thoughts and challenges in dactyloscopy.

Pattern Recognition and Image AnalysisPattern Recognition and Image Analysis



Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, ... Shape Modeling International, pages 154-166, May 2001.

Author: Sameer Singh

Publisher: Springer

ISBN: 9783540319993

Category:

Page: 814

View: 329

This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.

Distributed Artificial Intelligence Agent Technology and Collaborative ApplicationsDistributed Artificial Intelligence Agent Technology and Collaborative Applications



Yang, Q., Zhang, H. H., & Li, T. (2001). ... 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005), (pp. 216-225).

Author: Sugumaran, Vijayan

Publisher: IGI Global

ISBN: 9781605661452

Category:

Page: 450

View: 660

"This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems"--Provided by publisher.

Information Systems for Indian LanguagesInformation Systems for Indian Languages



Document Analysis and Recognition (ICDAR 2001), pp. ... In: Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009, pp.

Author: Chandan Singh

Publisher: Springer Science & Business Media

ISBN: 9783642194023

Category:

Page: 320

View: 683

This book constitutes the refereed proceedings of the International Conference on Information Systems for Indian Languages, ICISIL 2011, held in Patiala, India, in March 2011. The 63 revised papers presented were carefully reviewed and selected from 126 paper submissions (full papers as well as poster papers) and 25 demo submissions. The papers address all current aspects on localization, e-governance, Web content accessibility, search engine and information retrieval systems, online and offline OCR, handwriting recognition, machine translation and transliteration, and text-to-speech and speech recognition - all with a particular focus on Indic scripts and languages.