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{ "item_title" : "Document Analysis and Recognition - Icdar 2021", "item_author" : [" Josep Lladós", "Daniel Lopresti", "Seiichi Uchida "], "item_description" : "This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/086/548/3030865487_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Document Analysis and Recognition - Icdar 2021|Josep Lladós

Document Analysis and Recognition - Icdar 2021 : 16th International Conference, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I

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Overview

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.

The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition.


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Details

  • ISBN-13: 9783030865481
  • ISBN-10: 3030865487
  • Publisher: Springer
  • Publish Date: September 2021
  • Dimensions: 9.21 x 6.14 x 1.35 inches
  • Shipping Weight: 2.04 pounds
  • Page Count: 650

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