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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

Four cornered code based Chinese character recognition system.

January 1993 (has links)
by Tham Yiu-Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references. / Abstract --- p.i / Acknowledgements --- p.iii / Table of Contents --- p.iv / Chapter Chapter I --- Introduction / Chapter 1.1 --- Introduction --- p.1-1 / Chapter 1.2 --- Survey on Chinese Character Recognition --- p.1-4 / Chapter 1.3 --- Methodology Adopts in Our System --- p.1-7 / Chapter 1.4 --- Contributions and Organization of the Thesis --- p.1-11 / Chapter Chapter II --- Pre-processing and Stroke Extraction / Chapter 2.1 --- Introduction --- p.2-1 / Chapter 2.2 --- Thinning --- p.2-1 / Chapter 2.2.1 --- Introduction to Thinning --- p.2-1 / Chapter 2.2.2 --- Proposed Thinning Algorithm Cater for Stroke Extraction --- p.2-6 / Chapter 2.2.3 --- Thinning Results --- p.2-9 / Chapter 2.3 --- Stroke Extraction --- p.2-13 / Chapter 2.3.1 --- Introduction to Stroke Extraction --- p.2-13 / Chapter 2.3.2 --- Proposed Stroke Extraction Method --- p.2-14 / Chapter 2.3.2.1 --- Fork point detection --- p.2-16 / Chapter 2.3.2.2 --- 8-connected fork point merging --- p.2-18 / Chapter 2.3.2.3 --- Sub-stroke extraction --- p.2-18 / Chapter 2.3.2.4 --- Fork point merging --- p.2-19 / Chapter 2.3.2.5 --- Sub-stroke connection --- p.2-24 / Chapter 2.3.3 --- Stroke Extraction Accuracy --- p.2-27 / Chapter 2.3.4 --- Corner Detection --- p.2-29 / Chapter 2.3.4.1 --- Introduction to Corner Detection --- p.2-29 / Chapter 2.3.4.2 --- Proposed Corner Detection Formulation --- p.2-30 / Chapter 2.4 --- Concluding Remarks --- p.2-33 / Chapter Chapter III --- Four Corner Code / Chapter 3.1 --- Introduction --- p.3-1 / Chapter 3.2 --- Deletion of Hook Strokes --- p.3-3 / Chapter 3.3 --- Stroke Types Selection --- p.3-5 / Chapter 3.4 --- Probability Formulations of Stroke Types --- p.3-7 / Chapter 3.4.1 --- Simple Strokes --- p.3-7 / Chapter 3.4.2 --- Square --- p.3-8 / Chapter 3.4.3 --- Cross --- p.3-10 / Chapter 3.4.4 --- Upper Right Corner --- p.3-12 / Chapter 3.4.5 --- Lower Left Corner --- p.3-12 / Chapter 3.5 --- Corner Segments Extraction Procedure --- p.3-14 / Chapter 3.5.1 --- Corner Segment Probability --- p.3-21 / Chapter 3.5.2 --- Corner Segment Extraction --- p.3-23 / Chapter 3.6 4 --- C Codes Generation --- p.3-26 / Chapter 3.7 --- Parameters Determination --- p.3-29 / Chapter 3.8 --- Sensitivity Test --- p.3-31 / Chapter 3.9 --- Classification Rate --- p.3-32 / Chapter 3.10 --- Feedback by Corner Segments --- p.3-34 / Chapter 3.11 --- Classification Rate with Feedback by Corner Segment --- p.3-37 / Chapter 3.12 --- Reasons for Mis-classification --- p.3-38 / Chapter 3.13 --- Suggested Solution to the Mis-interpretation of Stroke Type --- p.3-41 / Chapter 3.14 --- Reduce Size of Candidate Set by No.of Input Segments --- p.3-43 / Chapter 3.15 --- Extension to Higher Order Code --- p.3-45 / Chapter 3.16 --- Concluding Remarks --- p.3-46 / Chapter Chapter IV --- Relaxation / Chapter 4.1 --- Introduction --- p.4-1 / Chapter 4.1.1 --- Introduction to Relaxation --- p.4-1 / Chapter 4.1.2 --- Formulation of Relaxation --- p.4-2 / Chapter 4.1.3 --- Survey on Chinese Character Recognition by using Relaxation --- p.4-5 / Chapter 4.2 --- Relaxation Formulations --- p.4-9 / Chapter 4.2.1 --- Definition of Neighbour Segments --- p.4-9 / Chapter 4.2.2 --- Formulation of Initial Probability Assignment --- p.4-12 / Chapter 4.2.3 --- Formulation of Compatibility Function --- p.4-14 / Chapter 4.2.4 --- Formulation of Support from Neighbours --- p.4-16 / Chapter 4.2.5 --- Stopping Criteria --- p.4-17 / Chapter 4.2.6 --- Distance Measures --- p.4-17 / Chapter 4.2.7 --- Parameters Determination --- p.4-21 / Chapter 4.3 --- Recognition Rate --- p.4-23 / Chapter 4.4 --- Reasons for Mis-recognition in Relaxation --- p.4-27 / Chapter 4.5 --- Introduction of No-label Class --- p.4-31 / Chapter 4.5.1 --- No-label Initial Probability --- p.4-31 / Chapter 4.5.2 --- No-label Compatibility Function --- p.4-32 / Chapter 4.5.3 --- Improvement by No-label Class --- p.4-33 / Chapter 4.6 --- Rate of Convergence --- p.4-35 / Chapter 4.6.1 --- Updating Formulae in Exponential Form --- p.4-38 / Chapter 4.7 --- Comparison with Yamamoto et al's Relaxation Method --- p.4-40 / Chapter 4.7.1 --- Formulations in Yamamoto et al's Relaxation Method --- p.4-40 / Chapter 4.7.2 --- Modifications in [YAMAM82] --- p.4-42 / Chapter 4.7.3 --- Performance Comparison with [YAMAM82] --- p.4-43 / Chapter 4.8 --- System Overall Recognition Rate --- p.4-45 / Chapter 4.9 --- Concluding Remarks --- p.4-48 / Chapter Chapter V --- Concluding Remarks / Chapter 5.1 --- Recapitulation and Conclusions --- p.5-1 / Chapter 5.2 --- Limitations in the System --- p.5-4 / Chapter 5.3 --- Suggestions for Further Developments --- p.5-6 / References --- p.R-1 / Appendix User's Guide / Chapter A .l --- System Functions --- p.A-1 / Chapter A.2 --- Platform and Compiler --- p.A-1 / Chapter A.3 --- File List --- p.A-2 / Chapter A.4 --- Directory --- p.A-3 / Chapter A.5 --- Description of Sub-routines --- p.A-3 / Chapter A.6 --- Data Structures and Header Files --- p.A-12 / Chapter A.7 --- Character File charfile Structure --- p.A-15 / Chapter A.8 --- Suggested Program to Implement the System --- p.A-17
22

Free-style phonetic input of Chinese.

January 1993 (has links)
by Lau Chi Ching, Donny. / Thesis (M.Sc.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves [71]). / Chapter 1. --- Introduction / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.2 --- Comparison of Phonetic and Written Character Input --- p.2 / Chapter 1.3 --- Significance of Phonetic Input --- p.4 / Chapter 1.4 --- Drawbacks of Current Phonetic Input Methods --- p.4 / Chapter 2. --- Objectives of the Research / Chapter 2.1 --- Main Objectives --- p.6 / Chapter 2.2 --- User Background Pre-requisite --- p.8 / Chapter 2.3 --- Roman-Spelling (Recommended Phonetic Scheme) --- p.9 / Chapter 2.4 --- User Input and the Output Scenario --- p.10 / Chapter 2.5 --- Outline of Free-Style Phonetic Input Processing --- p.15 / Chapter 3. --- Lexical Analyser / Chapter 3.1 --- Overview of Lexical Analyser --- p.17 / Chapter 3.2 --- Identification of Character Boundary --- p.19 / Chapter 3.3 --- Lexical Tree --- p.20 / Chapter 4. --- Selection Module / Chapter 4.1 --- Overview of Selection Module --- p.23 / Chapter 4.2 --- Fault-tolerance Capability --- p.24 / Chapter 4.3 --- Group Table (Groups of Similar Sounds) --- p.26 / Chapter 4.4 --- Distance Calculation Algorithm --- p.30 / Chapter 4.4.1 --- Character Dictionary --- p.31 / Chapter 4.4.2 --- Phrase Dictionary --- p.33 / Chapter 4.4.3 --- Hashing Key of the Dictionaries --- p.35 / Chapter 4.4.4 --- Maintenance of Dictionaries --- p.36 / Chapter 4.4.5 --- Distance Calculation of Character Input --- p.37 / Chapter 4.4.5.1 --- Examples of Character Output --- p.39 / Chapter 4.4.6 --- Distance Calculation of Phrase Input --- p.40 / Chapter 4.4.6.1 --- Examples of Phrase Output --- p.44 / Chapter 4.4.7 --- Explanation of Algorithm --- p.45 / Chapter 5. --- Syntax Analyser / Chapter 5.1 --- Overview of Syntax Analyser --- p.46 / Chapter 5.2 --- Overview of a Chinese Simple Sentence --- p.47 / Chapter 5.3 --- Testing Simple Sentence Rules --- p.48 / Chapter 5.3.1 --- NDFA for Chinese Grammar Rules --- p.49 / Chapter 5.4 --- Syntax Analysis Algorithm --- p.51 / Chapter 5.4.1 --- Explanation of Algorithm --- p.52 / Chapter 5.4.2 --- Justification of Algorithm --- p.54 / Chapter 5.4.3 --- Examples of Syntax Analysis --- p.55 / Chapter 5.5 --- Parse Tree for Semantic Analysis --- p.59 / Chapter 6. --- Division of Technical Work --- p.61 / Chapter 7. --- Applied Areas of the Research / Chapter 7.1 --- Chinese User Interface with Operating System --- p.63 / Chapter 7.2 --- Bilingual Programming Language Editor --- p.64 / Chapter 7.3 --- Development of a Chinese Programming Language --- p.66 / Chapter 7.4 --- Putonghua Training --- p.67 / Chapter 8. --- Conclusions and Future Improvements / Chapter 8.1 --- Conclusions --- p.68 / Chapter 8.2 --- Future Improvements --- p.69 / References / Appendix A
23

An on-line handwritten Chinese input system using a "unique character mapping" algorithm.

January 1987 (has links)
by Chan Shing Chi, Michael. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1987. / Bibliography: leaves [112]-[114]
24

Chinese character processing.

January 1987 (has links)
by Yeung Chuen-sang. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1987. / Bibliography: leaves 190-194.
25

A methodology for constructing compact Chinese font libraries by radical composition.

January 1993 (has links)
by Wai-Yip Tung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 55-56). / Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Previous work --- p.2 / Chapter 1.1.1. --- A Chinese METAFONT --- p.2 / Chapter 1.1.2. --- Chinese character generator --- p.2 / Chapter 1.1.3. --- Chinese Character Design System CCDS --- p.2 / Chapter 1.2. --- Goals of the thesis --- p.3 / Chapter 1.3. --- Overview of the thesis --- p.3 / Chapter 2. --- Construction of Chinese Characters --- p.5 / Chapter 2.1 --- Introduction --- p.5 / Chapter 2.2. --- liu shu(六書)Six Principles of Chinese Character Construction --- p.5 / Chapter 2.3. --- Structural Analysis of Chinese Characters --- p.7 / Chapter 2.3.1. --- Left-Right Structure --- p.8 / Chapter 2.3.2. --- Top-Bottom Structure --- p.9 / Chapter 2.3.3. --- Inside-Outside Structure --- p.10 / Chapter 2.3.4. --- Singleton Structure --- p.10 / Chapter 2.4. --- Usage frequency of radicals --- p.11 / Chapter 2.5. --- Usage frequency of Bushou --- p.11 / Chapter 2.6. --- Usage frequency of Shengpang --- p.13 / Chapter 2.7. --- Summary --- p.15 / Chapter 3. --- Composition by Radicals --- p.17 / Chapter 3.1. --- Introduction --- p.17 / Chapter 3.2. --- Transforming radicals --- p.18 / Chapter 3.3. --- Quality of transformed radicals --- p.19 / Chapter 3.4. --- Lower level components --- p.20 / Chapter 3.5. --- Summary --- p.23 / Chapter 4. --- Automatic Hinting for Chinese Font --- p.24 / Chapter 4.1 --- Introduction --- p.24 / Chapter 4.2. --- Automatic hinting for Chinese font --- p.26 / Chapter 4.3. --- Stroke recognition --- p.30 / Chapter 4.3.1. --- Identify horizontal lines --- p.31 / Chapter 4.3.2. --- Identify stroke segments --- p.31 / Chapter 4.3.3. --- Stroke recognition --- p.32 / Chapter 4.4. --- Regularize stroke width --- p.33 / Chapter 4.5. --- Grid-fitting horizontal and vertical strokes --- p.33 / Chapter 4.6. --- Grid-fitting radicals --- p.37 / Chapter 4.7. --- Summary --- p.39 / Chapter 5. --- RADIT - A Chinese Font Editor --- p.41 / Chapter 5.1. --- Introduction --- p.41 / Chapter 5.2. --- RADIT basics --- p.41 / Chapter 5.2.1. --- Character selection window --- p.42 / Chapter 5.2.2. --- Character window --- p.42 / Chapter 5.2.3. --- Tools Palette --- p.43 / Chapter 5.2.4. --- Toolbar --- p.43 / Chapter 5.2.5. --- Zooming the character window --- p.44 / Chapter 5.3. --- Editing a character --- p.44 / Chapter 5.3.1. --- Selecting handles --- p.44 / Chapter 5.3.2. --- Adding lines and curves --- p.45 / Chapter 5.3.3. --- Delete control points --- p.45 / Chapter 5.3.4. --- Moving control points --- p.45 / Chapter 5.3.5. --- Cut and paste --- p.46 / Chapter 5.3.6. --- Undo --- p.46 / Chapter 5.4. --- Adding radicals to a character --- p.46 / Chapter 5.5. --- Rasterizing and grid-fitting a character --- p.47 / Chapter 5.5.1. --- Rasterizing a character --- p.48 / Chapter 5.5.2. --- Stroke detection and regularization --- p.48 / Chapter 5.5.3. --- Grid-fitting and rasterizing a character --- p.49 / Chapter 6. --- Conclusions --- p.50 / Appendix A: Sample Fonts --- p.52 / References --- p.55
26

Chinese outline fonts support in X Window System.

January 1994 (has links)
by Raymond Cheuk-kuen Chen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 157-160). / Chapter 1. --- INTRODUCTION --- p.8 / Chapter 1.1. --- Windowing System --- p.8 / Chapter 1.2. --- Fonts --- p.10 / Chapter 1.2.1. --- Bitmap Fonts --- p.11 / Chapter 1.2.2. --- Outline Fonts --- p.12 / Chapter 1.3. --- Different font support models --- p.15 / Chapter 1.3.1. --- Supported by applications --- p.15 / Chapter 1.3.2. --- Supported by windowing system --- p.17 / Chapter 1.3.'3. --- Supported by a dedicated server --- p.19 / Chapter 1.4. --- Issues of Chinese Font Support --- p.20 / Chapter 2. --- OVERVIEW OF X WINDOW SYSTEM --- p.22 / Chapter 2.1. --- Introduction --- p.22 / Chapter 2.2. --- Architecture --- p.23 / Chapter 2.3. --- Font Management in the X Window System --- p.23 / Chapter 2.3.1. --- Before X Version 11 Release5 --- p.24 / Chapter 2.3.2. --- In X Version 11 Release5 --- p.25 / Chapter 2.3.3. --- Portable Compiled Format --- p.25 / Chapter 2.3.4. --- Font Server --- p.26 / Chapter 2.3.5. --- Font Management Library --- p.28 / Chapter 2.4. --- Internal Code --- p.29 / Chapter 3. --- CHINESE FONT SERVER --- p.30 / Chapter 3.1. --- Motivation --- p.30 / Chapter 3.2. --- Font Server Architecture --- p.31 / Chapter 3.2.1. --- Device Independent Font Server layer(DIFS) --- p.32 / Chapter 3.2.2. --- Operating System layer(OS) --- p.32 / Chapter 3.2.3. --- Font Management Library(FML) --- p.33 / Chapter 3.2.4. --- Font Path Element --- p.34 / Chapter 3.2.5. --- Font File Renderer --- p.35 / Chapter 3.2.6. --- Font server Renderer --- p.36 / Chapter 3.3. --- Implementation of Chinese Font Server --- p.36 / Chapter 3.3.1. --- Font data and code set --- p.36 / Chapter 3.3.2. --- Registering a new font reader --- p.38 / Chapter 3.3.3. --- Font specific functions --- p.42 / Chapter 3.3.4. --- Load-All Scheme --- p.43 / Chapter 3.3.5. --- Demand-Loading Scheme --- p.44 / Chapter 3.3.6. --- Embedding of font rasterizer --- p.44 / Chapter 3.4. --- Test Results --- p.45 / Chapter 3.4.1. --- X Application Tests --- p.45 / Chapter 3.4.2. --- Demand-Loading Test --- p.49 / Chapter 3.5. --- Some Remarks --- p.53 / Chapter 4. --- OVERVIEW OF PRINTING SYSTEM --- p.54 / Chapter 4.1. --- Motivation --- p.54 / Chapter 4.2. --- Design Considerations --- p.56 / Chapter 4.2.1. --- Modification of the X server --- p.56 / Chapter 4.2.2. --- Embed the printing system into the font server --- p.57 / Chapter 4.2.3. --- Distributed Architecture --- p.58 / Chapter 4.3. --- System Architecture --- p.60 / Chapter 4.4. --- Printer Server --- p.61 / Chapter 4.5. --- Font Server --- p.63 / Chapter 4.6. --- Printing Services Protocols --- p.63 / Chapter 4.7. --- X Window System Server --- p.65 / Chapter 4.8. --- Printer Server Library --- p.65 / Chapter 4.9. --- Client Applications --- p.65 / Chapter 5. --- DESIGN AND IMPLEMENTATION OF A PRINTER SERVER --- p.67 / Chapter 5.1. --- Objects identification --- p.67 / Chapter 5.1.1. --- Dispatcher (dispatcher) --- p.68 / Chapter 5.1.2. --- Communication Channel (ComChannel) --- p.68 / Chapter 5.1.3. --- Font Cache Manager (FnCache) --- p.69 / Chapter 5.1.4. --- PrnFont (PrnFont) --- p.69 / Chapter 5.1.5. --- Per-Font Cache (CacheStruct) 一- --- p.70 / Chapter 5.1.6. --- Font Server (FnServer) --- p.71 / Chapter 5.1.7. --- Client Manager (LRUList) --- p.71 / Chapter 5.1.8. --- Client Record (ClientRec) --- p.71 / Chapter 5.1.9. --- Printer Driver (PrnDriver) --- p.71 / Chapter 5.1.10. --- Down Loaded Font Table (DownLoadedFont) --- p.72 / Chapter 5.1.11. --- Request Header (reqHeader) --- p.72 / Chapter 5.1.12. --- Generic Reply(replyGeneric) --- p.74 / Chapter 5.2. --- Objects Organization --- p.74 / Chapter 5.2.1. --- Server Control Subsystem --- p.75 / Chapter 5.2.2. --- Client Management Subsystem --- p.78 / Chapter 5.2.3. --- Request Handling Subsystem --- p.84 / Chapter 5.2.4. --- Font Managing Subsystem --- p.86 / Chapter 6. --- SAMPLE PRINTER DRIVER --- p.94 / Chapter 6.1. --- Printer Control Languages --- p.94 / Chapter 6.1.1. --- Structure of PCL Command --- p.95 / Chapter 6.1.2. --- PCL Command Example --- p.97 / Chapter 6.2. --- Printer Font Resources --- p.98 / Chapter 6.3. --- Traditional Font Handling Methods in a Printer Driver --- p.99 / Chapter 6.4. --- Soft Font Creation in PCL Printer --- p.101 / Chapter 6.4.1. --- Font ID number --- p.102 / Chapter 6.4.2. --- Font Descriptor --- p.102 / Chapter 6.4.3. --- Character Code - --- p.104 / Chapter 6.4.4. --- Character Descriptor --- p.105 / Chapter 6.4.5. --- Character Bitmap Data --- p.107 / Chapter 6.5. --- New font downloading schemes for double-byte fonts --- p.107 / Chapter 6.5.1. --- Terminology --- p.108 / Chapter 6.5.2. --- Underlying Concepts of Algorithm One --- p.109 / Chapter 6.5.3. --- Algorithm One --- p.111 / Chapter 6.5.3.1. --- Code Mapping --- p.112 / Chapter 6.5.3.2. --- Example --- p.114 / Chapter 6.5.3.3. --- Memory Consideration --- p.115 / Chapter 6.5.4. --- Algorithm Two --- p.117 / Chapter 7. --- EXPERIMENT RESULTS AND DISCUSSIONS --- p.121 / Chapter 7.1. --- Cache Test --- p.121 / Chapter 7.2. --- Printer Driver Test --- p.125 / Chapter 7.2.1. --- Testing with 10 points font --- p.126 / Chapter 7.2.2. --- Testing with 12 points font --- p.129 / Chapter 7.2.3. --- Testing with 15 points font --- p.131 / Chapter 7.2.4. --- Testing with 18 points font --- p.134 / Chapter 7.3. --- Time Measurement --- p.136 / Chapter 7.4. --- Discussion --- p.139 / Chapter 7.5. --- Further Improvement --- p.143 / Chapter 8. --- CONCLUSIONS --- p.145 / APPENDIX A. PRINTER DRIVER CLASS --- p.147 / APPENDIX B. SAMPLE OUTPUT --- p.149 / REFERENCES --- p.157
27

Rasterization techniques for Chinese outline fonts.

January 1994 (has links)
Kwong-ho Wu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 72-75). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Outline Fonts --- p.2 / Chapter 1.1.1 --- Advantages and Disadvantages --- p.4 / Chapter 1.1.2 --- Representations --- p.4 / Chapter 1.1.3 --- Rasterization --- p.5 / Chapter 1.2 --- Introduction to This Thesis --- p.6 / Chapter 1.2.2 --- Organization --- p.7 / Chapter 1.2.1 --- Objectives --- p.7 / Chapter 2 --- Chinese Characters Fonts --- p.8 / Chapter 2.1 --- Large Character Set --- p.8 / Chapter 2.2 --- Font Styles --- p.8 / Chapter 2.3 --- Storage Problems --- p.9 / Chapter 2.4 --- Hierarchical Structure --- p.10 / Chapter 2.5 --- High Stroke Count --- p.11 / Chapter 3 --- Rasterization --- p.13 / Chapter 3.1 --- The Basic Rasterization --- p.13 / Chapter 3.1.1 --- Scan Conversion --- p.14 / Chapter 3.1.2 --- Filling Outline --- p.16 / Chapter 3.2 --- Font Rasterization --- p.17 / Chapter 3.2.1 --- Outline Scaling --- p.17 / Chapter 3.2.2 --- Hintings --- p.17 / Chapter 3.2.3 --- Basic Rasterization Approach for Chinese Fonts --- p.18 / Chapter 3.3 --- Hintings --- p.20 / Chapter 3.3.1 --- Phase Control --- p.20 / Chapter 3.3.2 --- Auto-Hints --- p.21 / Chapter 3.3.3 --- Storage of Hintings Information in TrueType Font and Postscript Font --- p.22 / Chapter 4 --- An Improved Chinese Font Rasterizer --- p.24 / Chapter 4.1 --- Floating Point Avoidance --- p.24 / Chapter 4.2 --- Filling --- p.25 / Chapter 4.2.1 --- Filling with Horizontal Scan Line --- p.25 / Chapter 4.2.2 --- Filling with Vertical Scan Line --- p.27 / Chapter 4.3 --- Hintings --- p.30 / Chapter 4.3.1 --- Assumptions --- p.30 / Chapter 4.3.2 --- Maintaining Regular Strokes Width --- p.30 / Chapter 4.3.3 --- Maintaining Regular Spacing Among Strokes --- p.34 / Chapter 4.3.4 --- Hintings of Single Stroke Contour --- p.42 / Chapter 4.3.5 --- Storing the Hinting Information in Font File --- p.49 / Chapter 4.4 --- A Rasterization Algorithm for Printing --- p.51 / Chapter 4.4.1 --- A Simple Algorithm for Generating Smooth Characters --- p.52 / Chapter 4.4.2 --- Algorithm --- p.54 / Chapter 4.4.3 --- Results --- p.54 / Chapter 5 --- Experiments --- p.56 / Chapter 5.1 --- Apparatus --- p.56 / Chapter 5.2 --- Experiments for Investigating Rasterization Speed --- p.56 / Chapter 5.2.1 --- Investigation into the Effects of Features of Chinese Fonts on Rasterization Time --- p.56 / Chapter 5.2.2 --- Improvement of Fast Rasterizer --- p.57 / Chapter 5.2.3 --- Details of Experiments --- p.57 / Chapter 5.3 --- Experiments for Rasterization Speed of Font File with Hints --- p.57 / Chapter 6 --- Results and Conclusions --- p.58 / Chapter 6.1 --- Observations --- p.58 / Chapter 6.1.1 --- Relationship Between Time for Rasterization and Stroke Count --- p.58 / Chapter 6.1.2 --- Effects of Style --- p.61 / Chapter 6.1.3 --- Investigation into the Observed Relationship --- p.62 / Chapter 6.2 --- Improvement of the Improved Rasterizer --- p.64 / Chapter 6.3 --- Gain and Cost of Inserting Hints into Font File --- p.68 / Chapter 6.3.1 --- Cost --- p.68 / Chapter 6.3.2 --- Gain --- p.68 / Chapter 6.4 --- Conclusions --- p.69 / Chapter 6.5 --- Future Work --- p.69 / Appendix
28

Off-line recognition system for printed Chinese characters.

January 1992 (has links)
Sin Ka Wai. / Thesis (M.Sc.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves [81]-[82]). / PREFACE / ABSTRACT / CONTENT / Chapter §1. --- INTRODUCTION / Chapter §1.1 --- The Chinese language --- p.1 / Chapter §1.2 --- Chinese information processing system --- p.2 / Chapter §1.3 --- Chinese character recognition --- p.4 / Chapter §1.4 --- Multi-stage tree classifier Vs Single-stage tree classifier in Chinese character recognition --- p.6 / Chapter §1.5 --- Decision Tree / Chapter §1.5.1 --- Basic Terminology of a decision tree --- p.7 / Chapter §1.5.2 --- Structure design of a decision tree --- p.10 / Chapter §1.6 --- Motivation of the project --- p.12 / Chapter §1.7 --- Objects of the project --- p.14 / Chapter §1.8 --- Development environment --- p.14 / Chapter §2. --- APPROACH 1 - UNSUPERVISED LEARNING / Chapter §2.1 --- Idea --- p.15 / Chapter §2.2 --- Feature Extraction / Chapter §2.2.1 --- Feature selection criteria --- p.15 / Chapter §2.2.2 --- 4C code --- p.20 / Chapter §2.2.3 --- Regional code --- p.22 / Chapter §2.2.4 --- Walsh Transform --- p.24 / Chapter §2.2.5 --- Black dot density projection profile --- p.26 / Chapter §2.2.6 --- Corner features --- p.28 / Chapter §2.3 --- Clustering Method -K-MEANS & Other Algorithms --- p.32 / Chapter §2.4 --- Pros & Cons --- p.35 / Chapter §2.5 --- Decision Table --- p.37 / Chapter §2.6 --- The Optimum Classifier & its Implemen- tation difficulties --- p.39 / Chapter §3. --- APPROACH 2 - SUPERVISED LEARNING --- p.43 / Chapter §4. --- POSSIBLE IMPROVEMENT / Chapter §4.1 --- Training and Test Sample Reduction --- p.46 / Chapter §4.2 --- Noise Filtering --- p.46 / Chapter §4.3 --- Decision with Overlapping --- p.52 / Chapter §4.4 --- Back Tracking for Holes --- p.56 / Chapter §4.5 --- Fuzzy Decision with Tolerance Limit --- p.59 / Chapter §4.6 --- Different Tree Architecture --- p.63 / Chapter §4.7 --- Building Decision Tree by Entropy Reduction Method --- p.65 / Chapter §5. --- EXPERIMENTAL RESULTS & THE IMPROVED MULTISTAGE CLASSIFIER / Chapter §5.1 --- Experimental Results --- p.70 / Chapter §5.2 --- Conclusion --- p.81 / Chapter §6. --- IMPROVED MULTISTAGE TREE CLASSIFIER / Chapter §6.1 --- The Optimal Multistage Tree Classifier --- p.83 / Chapter §6.2 --- Performance Analysis --- p.84 / Chapter §7. --- FURTHER DISCRIMINATION BY CONTEXT CONSIDERATION --- p.87 / Chapter §8. --- CONCLUSION / Chapter §8.1 --- Advantage of the Classifier --- p.89 / Chapter §8.2 --- Limitation of the Classifier --- p.90 / Chapter §9. --- AREA OF FUTURE RESEARCH AND IMPROVEMENT / Chapter §9.1 --- Detailed Analysis at Each Terminal Node --- p.91 / Chapter §9.2 --- Improving the Noise Filtering Technique --- p.92 / Chapter §9.3 --- The Use of 4 Corner Code --- p.93 / Chapter §9.4 --- Increase in the Dimension of the Feature Space --- p.95 / Chapter §9.5 --- 1-Tree Protocol with Entropy Reduction --- p.96 / Chapter §9.6 --- The Use of Human Intelligence --- p.97 / APPENDICES / Chapter A.1 --- K-MEANS / Chapter A.2 --- Maximum Distance Algorithm & ISODATA Algorithm / Chapter A.3 --- Approach Two - Supervised Learning / Chapter A.4 --- Theories on Statistical Discriminant Analysis / Chapter A.5 --- An Example of Misclassification Table / Chapter A.6 --- "Listing of the Program ""CHDIS.C""" / Chapter A.7 --- Further Discrimination by Context Consideration / Chapter A.8 --- Passage used in Testing the Performance of the Classifier with Context Consideration / Chapter A.9 --- A Partial List of Semantically Related Chinese Characters / REFERENCE
29

On-line Chinese character recognition.

January 1997 (has links)
by Jian-Zhuang Liu. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (p. 183-196). / Microfiche. Ann Arbor, Mich.: UMI, 1998. 3 microfiches ; 11 x 15 cm.
30

on-line Chinese character recognition system =: 線上中文字辨識系統. / 線上中文字辨識系統 / An on-line Chinese character recognition system =: Xian shang Zazhong wen zi bian shi xi tong. / Xian shang Zhong wen zi bian shi xi tong

January 1996 (has links)
by Law Tak Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 91-96). / by Law Tak Ming. / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- The Structure of Chinese Characters --- p.3 / Chapter 1.1.1 --- Pixels (像素) --- p.4 / Chapter 1.1.2 --- Strokes (筆劃) --- p.4 / Chapter 1.1.3 --- Basic Stroke Types (Segment Type)基本筆劃(筆段) --- p.4 / Chapter 1.1.4 --- Compound-segment Stroke (複合筆劃) --- p.5 / Chapter 1.1.5 --- Total Stroke types --- p.6 / Chapter 1.1.6 --- Stroke Sequence (筆順) --- p.6 / Chapter 1.1.7 --- Segments as Basic Features --- p.7 / Chapter 1.1.8 --- Geographic Structure of Components --- p.7 / Chapter 1.2 --- Stroke Distribution of Chinese Characters --- p.10 / Chapter 1.3 --- Radical --- p.10 / Chapter 1.4 --- The Comparison between ON-line and Off-line Chinese Character Recognition Approach --- p.11 / Chapter 1.5 --- Commercial Product Comparison --- p.14 / Chapter 1.6 --- Related Works --- p.17 / Chapter 1.7 --- Objectives --- p.29 / Chapter 2. --- PREPROCESSING --- p.31 / Chapter 2.1 --- Smoothing and Sampling --- p.32 / Chapter 2.2 --- Interpolation --- p.34 / Chapter 2.3 --- DEHOOKING --- p.37 / Chapter 2.4 --- Stroke Segmentation --- p.39 / Chapter 3. --- DATA LEARNING --- p.41 / Chapter 3.1 --- Definition of Terms --- p.41 / Chapter 3.2 --- Definition of Direction type --- p.42 / Chapter 3.3 --- Data Base Structure --- p.43 / Chapter 3.4 --- Learning Algorithms of Segments --- p.45 / Chapter 3.4.1 --- Learning of the Coordinates --- p.48 / Chapter 3.4.2 --- Learning of Direction Type --- p.48 / Chapter 3.4.3 --- Learning of Slope Angle --- p.50 / Chapter 3.5 --- Learning of the Tolerance of Coordinate --- p.50 / Chapter 3.6 --- Stroke Relation Coding --- p.51 / Chapter 4. --- PRECLASSIFICATION --- p.54 / Chapter 4.1 --- Decision Path Classification --- p.56 / Chapter 4.2 --- First-Two-Ending-One Classification Method --- p.57 / Chapter 4.3 --- Stroke Type Matching Algorithm --- p.61 / Chapter 5. --- RECOGNITION STAGE --- p.64 / Chapter 5.1 --- Connected Strokes Handling --- p.65 / Chapter 5.2 --- Stroke Sequence Free Matching Algorithm --- p.70 / Chapter 5.3 --- Preliminary Character Distance Measure --- p.72 / Chapter 5.4 --- Detailed Matching Techniques --- p.74 / Chapter 5.5 --- Segments Sequence Within a Compound-segment Stroke Compatibility --- p.75 / Chapter 5.5.1 --- Length and Slope Orientation Similarities --- p.78 / Chapter 5.5.2 --- Segment Similarity Measure Function --- p.79 / Chapter 5.6 --- Stroke Relation Influences --- p.79 / Chapter 5.7 --- Final Character Similarity Measure --- p.81 / Chapter 6. --- RESULTS AND CONCLUSIONS --- p.83 / Chapter 6.1 --- Experiment Results --- p.83 / Chapter 6.2 --- Analysis --- p.85 / Chapter 6.3 --- Conclusion --- p.87

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