Document Analysis and Recognition – ICDAR 2021 Workshops [electronic resource] : Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I /

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Material type: Text

TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12916Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XX, 485 p. 283 illus., 203 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030861988

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006 23

LOC classification:

TA1501-1820
TA1634

Online resources:

Click here to access online

Contents:

ICDAR 2021 Workshop on Graphics Recognition (GREC) -- ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR) -- ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021) -- ICDAR 2021 Workshop on Computational Document Forensics (IWCDF).

In: Springer Nature eBookSummary: “Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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“Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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