Document Analysis and Recognition - ICDAR 2023 edited by Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XVIII, 173 p. 67 illus., 66 illus. in color. online resourceISBN:- 9783031417313
- Computer Application in Social and Behavioral Sciences
- Computer Engineering and Networks
- Computer engineering
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Computer networksÂ
- Computer vision
- Computers and Education
- Education
- Image processing
- Machine learning
- Machine Learning
- Natural language processing (Computer science)
- Natural Language Processing (NLP)
- Social sciences
- 6.35
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2405 |
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.
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