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: Thinking Networks: The Large and Small of itThinking Networks: The Large and Small of it
by
This book describes different aspects of knowledge-based networks and is important for future Internet / mobile-based information networks. This book combines Artificial Intelligence, service-based systems and distributed knowledge management.
(4995 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.
(4008 views)
Book cover: Information SystemsInformation Systems
by - Global Text Project
This textbook teaches how to exploit IS in a technology-rich environment. It focuses on information systems showing how IS is integrated in organizations, how knowledge workers are supported, and how important IS is for an organization’s success.
(20816 views)
Book cover: Semantic Web And OntologySemantic Web And Ontology
by - Bookboon
This book is intended for engineering students who are interested in exploring the technology of Semantic web. The book simplifies the tough concepts associated with Semantic web and can be considered as the base of the knowledge about Web 3.0.
(4858 views)