menu
{ "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: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/086/333/3030863336_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "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 III

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

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: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.

This item is Non-Returnable

Details

  • ISBN-13: 9783030863333
  • ISBN-10: 3030863336
  • Publisher: Springer
  • Publish Date: September 2021
  • Dimensions: 9.21 x 6.14 x 1.55 inches
  • Shipping Weight: 2.36 pounds
  • Page Count: 756

Related Categories

You May Also Like...

    1

BAM Customer Reviews