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Advances in Character Recognition by Xiaoqing Ding Pdf
This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject.
Advances in Character Recognition by Xiaoqing Ding Pdf
This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject.
Advances in Handwriting Recognition by Seong-Whan Lee Pdf
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.
Character Recognition Systems by Mohamed Cheriet,Nawwaf Kharma,Cheng-Lin Liu,Ching Suen Pdf
"Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners." -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York "The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area." -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.
Innovations and Advances in Computer Sciences and Engineering by Tarek Sobh Pdf
Innovations and Advances in Computer Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advances in Computer Sciences and Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2008) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2008).
Progress In Handwriting Recognition by Sebastiano Impedovo,Andrew C Downton Pdf
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 Oriental Document Analysis and Recognition Techniques by S-W Lee,Y Y Tang,P S P Wang Pdf
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
Syntactic Pattern Recognition, Applications by K.S. Fu Pdf
The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.
Recent Advances in Material, Manufacturing, and Machine Learning by Rajiv Gupta,Devendra Deshmukh,Awanikumar P. Patil,Naveen Kumar Shrivastava,Jayant Giri,R.B. Chadge Pdf
The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.
Advances in Multimedia Information Processing – PCM 2018 by Richang Hong,Wen-Huang Cheng,Toshihiko Yamasaki,Meng Wang,Chong-Wah Ngo Pdf
The three-volume set LNCS 101164, 11165, and 11166 constitutes the refereed proceedings of the 19th Pacific-Rim Conference on Multimedia, PCM 2018, held in Hefei, China, in September 2018. The 209 regular papers presented together with 20 special session papers were carefully reviewed and selected from 452 submissions. The papers cover topics such as: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.
Recent Advances in Document Recognition and Understanding by Minoru Mori Pdf
In the field of document recognition and understanding, whereas scanned paper documents were previously the only recognition target, various new media such as camera-captured documents, videos, and natural scene images have recently started to attract attention because of the growth of the Internet/WWW and the rapid adoption of low-priced digital cameras/videos. The keys to the breakthrough include character detection from complex backgrounds, discrimination of characters from non-characters, modern or ancient unique font recognition, fast retrieval technique from large-scaled scanned documents, multi-lingual OCR, and unconstrained handwriting recognition. This book aims to present recent advances, applications, and new ideas that are relevant to document recognition and understanding, from technical topics such as image processing, feature extraction or classification, to new applications like camera-based recognition or character-based natural scene analysis. The goal of this book is to provide a new trend and a reference source for academic research and for professionals working in the document recognition and understanding field
The two volume set LNCS 5358 and LNCS 5359 constitutes the refereed proceedings of the 4th International Symposium on Visual Computing, ISVC 2008, held in Las Vegas, NV, USA, in December 2008. The 102 revised full papers and 70 poster papers presented together with 56 full and 8 poster papers of 8 special tracks were carefully reviewed and selected from more than 340 submissions. The papers are organized in topical sections on computer graphics, visualization, shape/recognition, video analysis and event recognition, virtual reality, reconstruction, motion, face/gesture, and computer vision applications. The 8 additional special tracks address issues such as object recognition, real-time vision algorithm implementation and application, computational bioimaging and visualization, discrete and computational geometry, soft computing in image processing and computer vision, visualization and simulation on immersive display devices, analysis and visualization of biomedical visual data, as well as image analysis for remote sensing data.
Advances in Handwriting Recognition by Seong-Whan Lee Pdf
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
Advanced Machine Learning Technologies and Applications by Aboul Ella Hassanien,Mohamed Tolba,Ahmad Taher Azar Pdf
This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.
