Details
Document Image Analysis
Current Trends and Challenges in Graphics Recognition|
96,29 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 18.09.2018 |
| ISBN/EAN: | 9789811323393 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. </p><p> </p><p>The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.</p>
<p><b>Chapter 1.</b> Document Image Processing: Graphics Recognition.- <b>Chapter 2.</b> Graphical Symbol Recognition Systems, Applications and Validation.- <b>Chapter 3.</b> Statistical Approaches.- <b>Chapter 4.</b> Structural and Syntactic Approaches.- <b>Chapter 5.</b> Hybrid Approaches.- <b>Chapter 6.</b> Challenges.</p>
The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined.<p>The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.</p>
<p>Details one of the key issues in document image processing – graphical symbol recognition, retrieval, and spotting within the purview of pattern recognition</p><p>Includes research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and associated research directions</p><p>Covers several approaches: statistical, structural, syntactic and hybrid, and addresses their merits and demerits considering the context</p><p>Addresses complex and composite graphical symbols recognition motivated by real-world industrial problems, including major day-to-day challenges</p>
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