Free Delivery Over $100
|
|
|||
|
||||
OverviewThe 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. Full Product DetailsAuthor: K.C. SantoshPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: Softcover reprint of the original 1st ed. 2018 Weight: 0.454kg ISBN: 9789811347696ISBN 10: 9811347697 Pages: 174 Publication Date: 16 December 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
