Logo

Document Image Analysis by Lawrence O'Gorman, Rangachar Kasturi

Large book cover: Document Image Analysis

Document Image Analysis
by


ISBN/ASIN: 081867802X
ISBN-13: 9780818678028
Number of pages: 125

Description:
This book describes some of the technical methods and systems used for document processing of text and graphics images. The methods have grown out of the fields of digital signal processing, digital image processing, and pattern recognition. The objective is to give the reader an understanding of what approaches are used for application to documents and how these methods apply to different situations.

Home page url

Download or read it online for free here:
Download link
(590KB, PDF)

Similar books

Book cover: Human Computer InteractionHuman Computer Interaction
by - InTech
This book covers modeling and practical realization of robotic control, the problems of stability and robustness, automation in algorithm and program developments, system's applied control, computations, control theory application, etc.
(11481 views)
Book cover: Managing the Digital LibraryManaging the Digital Library
by - Reed Press
The author delivers expert guidance on the digital implications of building collections; cataloging and classification; acquisition and digitization of materials; access; public service; organization and staffing; technology and infrastructure; etc.
(4381 views)
Book cover: Big Data on Real-World ApplicationsBig Data on Real-World Applications
by - InTech
High volumes of valuable data are generated day by day in modern organizations. The management of huge volumes of data has become a priority in these organizations, requiring new techniques for data management and analysis in Big Data environments.
(4666 views)
Book cover: Introduction to Data ScienceIntroduction to Data Science
by
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides interesting applications using the R language for statistics and graphics.
(8707 views)