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Document Image Analysis : Current Trends and Challenges in Graphics Recognition / by K.C. Santosh

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: Singapore : Springer Singapore, 2018Description: Online-Ressource (XX, 174 p. 70 illus., 46 illus. in color, online resource)ISBN:
  • 9789811323393
Subject(s): Additional physical formats: 9789811323386 | 9789811323409 | Printed edition: 9789811323386 | Printed edition: 9789811323409 DDC classification:
  • 006.4
LOC classification:
  • Q337.5 TK7882.P3
  • Q337.5
  • TK7882.P3
DOI: DOI: 10.1007/978-981-13-2339-3Online resources: Summary: 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 problemsSummary: 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. ChallengesPPN: PPN: 1031837191Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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