Description
The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.
Table of Contents
A Brief History of Documents and Writing Systems.- Document Creation, Image Acquisition and Document Quality.- Imaging Techniques in Document Analysis Processes.- Page Segmentation Techniques in Document Analysis.- Analysis of the Logical Layout of Documents.- Page Similarity and Classification.- Text Segmentation for Document Recognition.- Font, Script, and Language Recognition.- Handprinted Character and Word Recognition.- Continuous Handwritten Script Recognition.- Middle Eastern Character Recognition.- Asian Character Recognition.- Post-processing of OCR-ed text.- Graphics Recognition Techniques.- An Overview of Symbol Recognition.- Analysis and Interpretation of Graphical Documents.- Logo and Trademark Recognition.- Recognition of Tables and Forms.- Processing Mathematical Notation.- Document Analysis in Postal Applications and Check Processing.- Digital Library Projects and Historical Documents.- Analysis and Recognition of Music Scores.- Document Analysis for Biometrics and Forensics.- Analysis of Documents Born Digital.- Image Based Retrieval and Keyword Spotting in Documents.- Text Localization and Recognition in Images and Video.- Online Handwriting Recognition.- Online Signature Verification.- Sketching Interfaces.- Datasets and Annotations for Document Analysis and Recognition.- Tools and Metrics for Document Analysis Systems Evaluation.
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