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Author: Gady Agam
Publisher: SPIE-International Society for Optical Engineering
ISBN: 9780819484116
Category : Document imaging systems
Languages : en
Pages : 386
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Book Description
Includes Proceedings Vol. 7821
Author: Gady Agam
Publisher: SPIE-International Society for Optical Engineering
ISBN: 9780819484116
Category : Document imaging systems
Languages : en
Pages : 386
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Book Description
Includes Proceedings Vol. 7821
Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 236
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Book Description
Author:
Publisher:
ISBN:
Category : Document imaging systems
Languages : en
Pages :
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Book Description
Author: Masakazu Iwamura
Publisher: Springer Science & Business Media
ISBN: 3642293638
Category : Computers
Languages : en
Pages : 180
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Book Description
This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images, camera-based systems, and datasets and evaluation.
Author: Gernot A. Fink
Publisher: Springer Nature
ISBN: 3031417348
Category : Computers
Languages : en
Pages : 568
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Book Description
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Author:
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Category :
Languages : en
Pages :
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Author: Daniel P. Lopresti
Publisher:
ISBN:
Category : Document imaging systems
Languages : en
Pages : 208
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Author:
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Category :
Languages : en
Pages :
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Author: K.C. Santosh
Publisher: Springer
ISBN: 9811323399
Category : Computers
Languages : en
Pages : 184
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Book Description
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.
Author: Mickael Coustaty
Publisher: Springer Nature
ISBN: 3031415019
Category : Computers
Languages : en
Pages : 339
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Book Description
This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML).
