Document Image Analysis
Current Trends and Challenges in Graphics Recognition
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Beschreibung
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.
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.
Details one of the key issues in document image processing – graphical symbol recognition, retrieval, and spotting within the purview of pattern recognition 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 Covers several approaches: statistical, structural, syntactic and hybrid, and addresses their merits and demerits considering the context Addresses complex and composite graphical symbols recognition motivated by real-world industrial problems, including major day-to-day challenges
Autor*in
K.C. Santosh
Themen in »Document Image Analysis«
Graphics recognition Document image processing Pattern recognition Computer vision Artificial intelligence