Document Image Analysis
Current Trends and Challenges in Graphics Recognition
(Sprache: Englisch)
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...
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Klappentext zu „Document Image Analysis “
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. 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.
Inhaltsverzeichnis zu „Document Image Analysis “
Chapter 1. Document Image Processing: Graphics Recognition.- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation.- Chapter 3. Statistical Approaches.- Chapter 4. Structural and Syntactic Approaches.- Chapter 5. Hybrid Approaches.- Chapter 6. Challenges.
Bibliographische Angaben
- Autor: K.C. Santosh
- 2018, 1st ed. 2018, XX, 174 Seiten, 46 farbige Abbildungen, Maße: 15,7 x 24,4 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811323380
- ISBN-13: 9789811323386
Sprache:
Englisch
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