ICDAR 2021 Competition on Time-Quality Document Image Binarization

Authors

Rafael Dueire Lins, Universidade Federal de Pernambuco
Rodrigo Barros Bernardino, Universidade Federal de Pernambuco
Elisa Barney Smith, Boise State University
Ergina Kavallieratou, University of the Eagian

Document Type

Conference Proceeding

Publication Date

2021

Abstract

The ICDAR 2021 Time-Quality Binarization Competition assessed the performance of 12 new and 49 other previously published binarization algorithms for scanned document images. Four test sets of “real-world” documents with different features were used. For each test set, the top twenty algorithms in the quality of the resulting two-tone images had their average processing time presented, yielding an account of their time complexity.

Comments

ICDAR 2021: Document Analysis and Recognition is volume 12824 of the Lecture Notes in Computer Science book series.

Copyright Statement

This is an author-produced, peer-reviewed version of this conference proceeding. The final, definitive version of this document can be found online at ICDAR 2021: Document Analysis and Recognition, published by Springer. Copyright restrictions may apply. https://doi.org/10.1007/978-3-030-86337-1_47

Publication Information

Dueire Lins, Rafael; Barros Bernardino, Rodrigo; Barney Smith, Elisa; and Kavallieratou, Ergina. (2021). "ICDAR 2021 Competition on Time-Quality Document Image Binarization". In J. Lladós, D. Lopresti, and S. Uchida (Eds.), ICDAR 2021: Document Analysis and Recognition (Lecture Notes in Computer Science series, Volume 12824, pp. 708-722). Springer. https://doi.org/10.1007/978-3-030-86337-1_47