Advances In Oriental Document Analysis And Recognition Techniques
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Advances In Oriental Document Analysis And Recognition Techniques
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Author : Seong-Whan Lee
language : en
Publisher:
Release Date : 1998
Advances In Oriental Document Analysis And Recognition Techniques written by Seong-Whan Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Advances In Oriental Document Analysis And Recognition Techniques
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Author : S-W Lee
language : en
Publisher: World Scientific
Release Date : 1999-01-08
Advances In Oriental Document Analysis And Recognition Techniques written by S-W 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 1999-01-08 with Computers categories.
In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc. Advances in computer processing of oriental languages can also be seen in multimedia computing and the World Wide Web. Many of the results in those domains are presented in this book. Contents:Intriguing Aspects of Oriental Languages (C Y Suen et al.)The Generation of Oriental Characters: New Perspectives for Automatic Handwriting Processing (R Plamondon et al.)A New Synthesizing Method for Handwriting Korean Scripts (D-H Lee & H-G Cho)Differentiating Between Oriental and European Scripts by Statistical Features (L Lam et al.)Gray-Scale Nonlinear Shape Normalization Method for Handwritten Oriental Character Recognition (S-Y Kim & S-W Lee)Distributed Autonomous Agents for Chinese Document Image Segmentation (J Liu & Y Y Tang)Ink Matching of Cursive Chinese Handwritten Annotations (D P Lopresti et al.)On-Line Handwritten Chinese Character Recognition Directed by Components with Dynamic Templates (X Xiao & R Dai)A Reliability Design Methodology for Chinese Character Recognition (Y S Huang et al.)Typeface Identification for Printed Chinese Characters (Y-H Tseng et al.)A Self-Organizing Hierarchical Classifier for Multi-Lingual Large-Set Oriental Character Recognition (H-S Park et al.)Printed Chinese Character Similarity Measurement Using Ring Projection and Distance Transform (P C Yuen et al.)Segmentation and Recognition of Continuous Handwriting Chinese Text (C Hong et al.)Network-Based Approach to Korean Handwriting Analysis (B-K Sin & J H Kim)Comparison of Feature Performance and Its Application to Feature Combination in Off-Line Handwritten Korean Alphabet Recognition (K Seo et al.) Readership: Graduate students and researchers in computer science. Keywords:Oriental Character Recognition;Handwriting Recognition;Document Analysis and Recognition;OCR (Optical Character Recognition);Document Image Analysis
Advances In Chinese Document And Text Processing
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Author : Liu Cheng-lin
language : en
Publisher: World Scientific
Release Date : 2017-03-14
Advances In Chinese Document And Text Processing written by Liu Cheng-lin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-14 with Computers categories.
The book is a collection of invited chapters by experts in Chinese document and text processing, and is part of a series on Language Processing, Pattern Recognition, and Intelligent Systems. The chapters introduce the latest advances and state-of-the-art methods for Chinese document image analysis and recognition, font design, text analysis and speaker recognition. Handwritten Chinese character recognition and text line recognition are at the core of document image analysis (DIA), and therefore, are addressed in four chapters for different scripts (online characters, offline characters, ancient characters, and text lines). Two chapters on character recognition pay much attention to deep convolutional neural networks (CNNs), which are widely used and performing superiorly in various pattern recognition problems. A chapter is contributed to describe a large handwriting database consisting both online and offline characters and text pages. Postal mail reading and writer identification, addressed in two chapters, are important applications of DIA. The collection can serve as reference for students and engineers in Chinese document and text processing and their applications.
Ibbo International Biography And Bibliography Of Ophthalmologists And Visual Scientist A Z
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Author :
language : en
Publisher: Wayenborgh Publishing
Release Date : 2018-11-30
Ibbo International Biography And Bibliography Of Ophthalmologists And Visual Scientist A Z written by and has been published by Wayenborgh Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Medical categories.
Advances In Handwriting Recognition
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Author : Seong-Whan Lee
language : en
Publisher: World Scientific
Release Date : 1999
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 with Computers categories.
Frontiers 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.
Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis
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Author : Ashlesha Jain
language : en
Publisher: World Scientific
Release Date : 2000
Artificial Intelligence Techniques In Breast Cancer Diagnosis And Prognosis written by Ashlesha Jain and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages ? such as adaptation, fault tolerance, learning and human-like behavior ? over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis.This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA.
Neuro Fuzzy Pattern Recognition
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Author : H Bunke
language : en
Publisher: World Scientific
Release Date : 2000-12-22
Neuro Fuzzy Pattern Recognition written by H Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-22 with Computers categories.
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry. Contents: Methodology:Simultaneous Feature Analysis and System Identification in a Neuro-Fuzzy Framework (N R Pal & D Chakraborty)Neuro-Fuzzy Model for Unsupervised Feature Extraction with Real Life Applications (R K De et al.)A Computational-Intelligence-Based Approach to Decision Support (M B Gorzalczany)Clustering Problem Using Fuzzy C-Means Algorithms and Unsupervised Neural Networks (J-S Lin)Automatic Training of Min-Max Classifiers (A Rizzi)Granular Computing in Pattern Recognition (W Pedrycz & G Vukovich)ART-Based Model Set for Pattern Recognition: FasArt Family (G I Sainz Palmero et al.)Applications:A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks (N Kasabov & G Iliev)Neural Versus Heuristic Development of Choquet Fuzzy Integral Fusion Algorithms for Land Mine Detection (P D Gader et al.)Automatic Segmentation of Multi-Spectral MR Brain Images Using a Neuro-Fuzzy Algorithm (S Y Lee et al.)Vision-Based Neuro-Fuzzy Control of Autonomous Lane Following Vehicle (Y-J Ryoo) Readership: Graduate students, lecturers and researchers in computer science and computer engineering. Keywords:Neuro-Fuzzy;Fuzzy Logic;Neural Networks;Pattern Recognition;Classification;Clustering;Decision Making;Uncertainty Management
Multispectral Image Processing And Pattern Recognition
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Author : Jun Shen
language : en
Publisher: World Scientific
Release Date : 2001
Multispectral Image Processing And Pattern Recognition written by Jun Shen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Invariants For Pattern Recognition And Classification
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Author : Marcos A. Rodrigues
language : en
Publisher: World Scientific
Release Date : 2000
Invariants For Pattern Recognition And Classification written by Marcos A. Rodrigues and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J.L. Mundy and A. Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world. A version of this collection of papers has appeared in the International Journal of Pattern Recognition and Artificial Intelligence (December 1999). The papers in this book are extended versions of the original material published in the journal. They are organized into two categories: foundations and applications. Foundation papers present new ways of defining or analyzing invariants, and application papers present novel ways in which known invariant theory is extended and effectively applied to real-world problems in interesting and difficult contexts. Each category contains roughly half of the papers, but there is considerable overlap. All papers carry an element of novelty and generalization that will be useful to theoreticians and practitioners alike. It is hoped that this volume will be not only useful but also inspirational to researchers in image processing, pattern recognition and computer vision at large.
Texture Analysis In Machine Vision
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Author : Matti Pietikinen
language : en
Publisher: World Scientific
Release Date : 2000
Texture Analysis In Machine Vision written by Matti Pietikinen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
d104ure analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on ?d104ure Analysis in Machine Vision? was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.