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Chinese Handwriting Recognition: An Algorithmic Perspective

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Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	380341670 Buchausg. u.d.T.: ‡Su, Tonghua: Chinese handwriting recognition
ISBN	978-3-642-31811-5
Name	Su, Tonghua
T I T E L	Chinese Handwriting Recognition: An Algorithmic Perspective
Verlagsort	Berlin ; Heidelberg
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XI, 124 p. 62 illus., 16 illus. in color, digital)
Reihe	SpringerBriefs in Electrical and Computer Engineering
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Chinese Handwriting Recognition: An Algorithmic Perspective; Foreword; Preface; Contents; 1 Introduction; Abstract; 1.1…Background; 1.2…Motivation; 1.3…Chronological Survey; 1.3.1 Infant Period (sim1970); 1.3.2 Foundation Period (1970s); 1.3.3 Exploring Period (1980s); 1.3.4 Transcending Period (1990--2005); 1.3.5 Regenerative Period (Since 2006); 1.4…Evaluation Metrics; 1.4.1 Character Segmentation Rates; 1.4.2 Recognition Rates; 1.5…Organization; References; 2 HIT-MW Database; Abstract; 2.1Introduction; 2.2Sampling Strategy; 2.2.1 Writer Sampling; 2.2.2 Text Sampling. 2.3Database Acquisition2.3.1 Text Partition; 2.3.2 Layout Design; 2.3.3 Form Collection; 2.4Database Processing; 2.4.1 Handwriting Digitalization; 2.4.2 Image Preprocessing; 2.4.3 Database Labeling; 2.4.4 Text Line Extraction; 2.5Database Statistics; 2.5.1 Basic Statistics; 2.5.2 Erasing Statistics; 2.5.3 Miswriting Statistics; 2.6Application of HIT-MW Database; 2.7Discussions and Conclusions; References; 3 Integrated Segmentation-Recognition Strategy; Abstract; 3.1…Introduction; 3.2…Reference Systems; 3.2.1 Segmentation-Based Baseline Systems; 3.2.1.1 Isolated Chinese Character Recognizer. 3.2.1.2 Character Segmentation Approaches3.2.2 Integrated Segmentation-Recognition Baseline System; 3.3…Perceptron Learning of MQDF; 3.3.1 Perceptron Learning; 3.3.2 Dynamic Margin Regularization; 3.3.3 Interpretation; 3.4…Active Set Technique; 3.5…String Sample Synthesizing; 3.5.1 String Sample Distortion; 3.5.2 Verisimilitude Consideration; 3.6…String-Level Training; 3.6.1 MCE Criterion; 3.6.2 String-Level Training; 3.7…Linguistic Constraints; 3.8…Experiments; 3.8.1 Databases; 3.8.1.1 Isolated Handwritten Character Databases; 3.8.1.2 HIT-MW Database; 3.8.2 Evaluation on Character Databases. 3.8.2.1 On Digit Databases3.8.2.2 On Chinese Character Database; 3.8.3 Evaluation on HIT-MW Database; 3.8.3.1 Evaluation of Character Segmentation Approaches; 3.8.3.2 Evaluation of Segmentation-Based Baseline Systems; 3.8.3.3 Evaluation of Integrated Segmentation-Recognition Baseline System; 3.8.3.4 Evaluation of String-Level Training; 3.8.3.5 Evaluation of Synthetic Samples and Linguistic Constraints; 3.9…Conclusions; References; 4 Segmentation-Free Strategy: Basic Algorithms; Abstract; 4.1…Introduction; 4.2…System Overview; 4.3…Sliding Windowing; 4.4…Feature Representation. 4.5…HMM Training and Decoding4.6…Experiments; 4.6.1 Evaluation on Segmentation-Free Systems; 4.6.2 Comparison Between Segmentation-Based and Segmentation-Free Systems; 4.6.3 Discussions; 4.7…Conclusions; References; 5 Segmentation-Free Strategy: Advanced Algorithms; Abstract; 5.1Introduction; 5.2Ensemble; 5.2.1 Curve of Character Matching Rate; 5.2.2 Serial Structure; 5.2.3 Parallel Structure; 5.3Feature Enhancement; 5.3.1 Enhanced FPF (enFPF); 5.3.2 Delta Features; 5.4Text Line Normalization; 5.5Synthesizing Samples; 5.6Distributed N-gram Training; 5.7MPE/MWE Training; 5.8Experiments. 5.8.1 HIT-SW Database
Titelhinweis	Buchausg. u.d.T.: ‡Su, Tonghua: Chinese handwriting recognition
ISBN	ISBN 978-3-642-31812-2
Klassifikation	UYQV
	COM016000
	*68-02
	68T10
	68U15
	006.6
	T385
	TA1637-1638
	TK7882.P3
Kurzbeschreibung	This book provides an algorithmic perspective on the recent development of Chinese handwriting recognition. Two technically sound strategies, the segmentation-free and integrated segmentation-recognition strategy, are investigated and algorithms that have worked well in practice are primarily focused on. Baseline systems are initially presented for these strategies and are subsequently expanded on and incrementally improved. The sophisticated algorithms covered include: 1) string sample expansion algorithms which synthesize string samples from isolated characters or distort realistic string samples; 2) enhanced feature representation algorithms, e.g. enhanced four-plane features and Delta features; 3) novel learning algorithms, such as Perceptron learning with dynamic margin, MPE training and distributed training; and lastly 4) ensemble algorithms, that is, combining the two strategies using both parallel structure and serial structure. All the while, the book moves from basic to advanced algorithms, helping readers quickly embark on the study of Chinese handwriting recognition
1. Schlagwortkette	Chinesische Schrift
	Handschrift <Grafologie>
	Datenbank
	Optische Zeichenerkennung
	Merkmalsextraktion
SWB-Titel-Idn	378521233
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-31812-2
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Inhaltstext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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