Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)

Jihyo Kim; Daejeong Mun; Jaemoon Hwang; Sangheum Hwang

doi:10.1007/s10032-025-00550-w

Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)

Jihyo Kim
, Daejeong Mun
, Jaemoon Hwang
, Sangheum Hwang

Dept. of Industrial Engineering/Industrial and Information Systems Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Contribution to journal › Comment/debate

Abstract

In the original publication, on page 8, the heading Domainspecific synthetic dataset (Domain) should read as Domain-specific synthetic dataset (Domain). There are other formatting errors in this article, which will be corrected. The original article has been corrected.

Original language	English
Pages (from-to)	743
Number of pages	1
Journal	International Journal on Document Analysis and Recognition
Volume	29
Issue number	2
DOIs	https://doi.org/10.1007/s10032-025-00550-w
State	Published - Jun 2026

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Kim, J., Mun, D., Hwang, J., & Hwang, S. (2026). Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x). International Journal on Document Analysis and Recognition, 29(2), 743. https://doi.org/10.1007/s10032-025-00550-w

Kim, Jihyo ; Mun, Daejeong ; Hwang, Jaemoon et al. / Correction to : Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x). In: International Journal on Document Analysis and Recognition. 2026 ; Vol. 29, No. 2. pp. 743.

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title = "Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)",

abstract = "In the original publication, on page 8, the heading Domainspecific synthetic dataset (Domain) should read as Domain-specific synthetic dataset (Domain). There are other formatting errors in this article, which will be corrected. The original article has been corrected.",

author = "Jihyo Kim and Daejeong Mun and Jaemoon Hwang and Sangheum Hwang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.",

year = "2026",

month = jun,

doi = "10.1007/s10032-025-00550-w",

language = "English",

volume = "29",

pages = "743",

journal = "International Journal on Document Analysis and Recognition",

issn = "1433-2833",

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}

Kim, J, Mun, D, Hwang, J & Hwang, S 2026, 'Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)', International Journal on Document Analysis and Recognition, vol. 29, no. 2, pp. 743. https://doi.org/10.1007/s10032-025-00550-w

Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x). / Kim, Jihyo; Mun, Daejeong; Hwang, Jaemoon et al.
In: International Journal on Document Analysis and Recognition, Vol. 29, No. 2, 06.2026, p. 743.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Correction to

T2 - Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)

AU - Kim, Jihyo

AU - Mun, Daejeong

AU - Hwang, Jaemoon

AU - Hwang, Sangheum

N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

PY - 2026/6

Y1 - 2026/6

N2 - In the original publication, on page 8, the heading Domainspecific synthetic dataset (Domain) should read as Domain-specific synthetic dataset (Domain). There are other formatting errors in this article, which will be corrected. The original article has been corrected.

AB - In the original publication, on page 8, the heading Domainspecific synthetic dataset (Domain) should read as Domain-specific synthetic dataset (Domain). There are other formatting errors in this article, which will be corrected. The original article has been corrected.

UR - https://www.scopus.com/pages/publications/105015992318

U2 - 10.1007/s10032-025-00550-w

DO - 10.1007/s10032-025-00550-w

M3 - Comment/debate

AN - SCOPUS:105015992318

SN - 1433-2833

VL - 29

SP - 743

JO - International Journal on Document Analysis and Recognition

JF - International Journal on Document Analysis and Recognition

IS - 2

ER -

Kim J, Mun D, Hwang J, Hwang S. Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x). International Journal on Document Analysis and Recognition. 2026 Jun;29(2):743. doi: 10.1007/s10032-025-00550-w

Correction to: Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system (International Journal on Document Analysis and Recognition (IJDAR), (2025), 10.1007/s10032-025-00525-x)

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