Recent Advances in Document Recognition and Understanding
eBook - PDF

Recent Advances in Document Recognition and Understanding

  1. 104 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Recent Advances in Document Recognition and Understanding

About this book

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

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Yes, you can access Recent Advances in Document Recognition and Understanding by Minoru Mori in PDF and/or ePUB format, as well as other popular books in Computer Science & Web Programming. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2011
Print ISBN
9789533073200
eBook ISBN
9789535155362
Topic
Computer Science
Subtopic
Web Programming
Index
Computer Science

Table of contents

  1. Recent Advances in Document Recognition and Understanding
  2. Contents
  3. Preface
  4. Chapter 1 Statistical Deformation Model for Handwritten Character Recognition
  5. Chapter 2 Character Recognition with Metasets
  6. Chapter 3 Recognition of Tifinaghe Characters Using Dynamic Programming & Neural Network
  7. Chapter 4 Character Degradation Model and HMM Word Recognition System for Text Extracted from Maps
  8. Chapter 5 Grid’5000 Based Large Scale OCR Using the DTW Algorithm: Case of the Arabic Cursive Writing
  9. Chapter 6 Application of Gaussian-Hermite Moments in License