Advances In Chinese Document And Text Processing

Advances In Chinese Document And Text Processing

by Cheng-lin Liu, Yue Lu
ISBN-10:
9813143673
ISBN-13:
9789813143678
Pub. Date:
05/23/2017
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9813143673
ISBN-13:
9789813143678
Pub. Date:
05/23/2017
Publisher:
World Scientific Publishing Company, Incorporated
Advances In Chinese Document And Text Processing

Advances In Chinese Document And Text Processing

by Cheng-lin Liu, Yue Lu
$128.0
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Overview

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.

Product Details

ISBN-13: 9789813143678
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 05/23/2017
Series: Series On Language Processing, Pattern Recognition, And Intelligent Systems , #2
Pages: 292
Product dimensions: 5.90(w) x 9.10(h) x 0.80(d)

Table of Contents

Preface v

Chapter 1 Characteristics of English, Chinese, and Arabic Typefaces Ching Y. Suen Shima Nikfal Bing Zhang Jehan Janbi 1

Chapter 2 Chinese Handwriting Database Building and Benchmarking Cheng-Lin Liu Fei Yin Da-Han Wang Qiu-Feng Wang Liang Xu Xu-Yao Zhang 31

Chapter 3 CNN Based Handwritten Character Recognition Song Wang Li Chen Chunpeng Wu Wei Fan Jun Sun Satoshi Naoi 57

Chapter 4 Online Handwritten Chinese Character Recognition: From a Bayesian Approach to Deep Learning Lianwen Jin Weixin Yang Ziyong Feng Zecheng Xie 79

Chapter 5 Historical Chinese Character Recognition Using Transfer Learning Liangrui Peng Jixiong Feng 127

Chapter 6 Handwritten Chinese Text Line Recognition Qiu-Feng Wang Fei Yin Cheng-Lin Liu 147

Chapter 7 Handwritten Chinese Address Recognition for Postal Automation Shujing Lu Xiaohua Wei Xiao Tu Yue Lu 187

Chapter 8 Off-line Text-independent Writer Identification for Chinese Handwriting Yu-Jie Xiong Yue Lu 215

Chapter 9 Chinese Word Segmentation, Syntactic Parsing and Discourse Analysis Man Lan Yuanbin Wu 235

Chapter 10 Speaker Recognition: Deep Neural Networks Approach Xin He Lekai Huang 263

Index 281

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