eBook Chinese Handwriting Recognition: An Algorithmic Perspective, 1st Edition

  • Published By:
  • ISBN-10: 3642318126
  • ISBN-13: 9783642318122
  • DDC: 006.424
  • Grade Level Range: College Freshman - College Senior
  • 124 Pages | eBook
  • Original Copyright 2013 | Published/Released April 2014
  • This publication's content originally published in print form: 2013
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About

Overview

This book introduces integral algorithms used in Chinese handwriting recognition and the applications of Chinese handwriting recogniers. The first part of the book covers both widespread canonical algorithms to a reliable recognizer and newly developed scalable methods in Chinese handwriting recognition. The recognition of Chinese handwritten text is presented systematically, including instructive guidelines for collecting samples, novel recognition paradigms, distributed discriminative learning of appearance models and distributed estimation of contextual models for large categories, in addition to celebrated methods, e.g. Gradient features, MQDF and HMMs. In the second part of this book, endeavors are made to create a friendlier human-machine interface through application of Chinese handwriting recognition. Four scenarios are exemplified: grid-assisted input, shortest moving input, handwritten micro-blog, and instant handwriting messenger. All the while, the book moves from basic to more complex approaches, also providing a list for further reading with literature comments.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Foreword.
Preface.
Contents.
1: Introduction.
2: HIT-MW Database.
3: Integrated Segmentation-Recognition Strategy.
4: Segmentation-Free Strategy: Basic Algorithms.
5: Segmentation-Free Strategy: Advanced Algorithms.