Bridging the Gap in Exam Handwritten Text Recognition: Dataset, Benchmark, and Modeling.

Li R, Zhu L, Huang H

DOI: 10.1109/tpami.2026.3721731
Published: 2026 Nov
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3721731,
  title = {Bridging the Gap in Exam Handwritten Text Recognition: Dataset, Benchmark, and Modeling.},
  author = {Li R and Zhu L and Huang H},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3721731},
  url = {https://doi.org/10.1109/tpami.2026.3721731}
}

RIS

TY  - JOUR
TI  - Bridging the Gap in Exam Handwritten Text Recognition: Dataset, Benchmark, and Modeling.
AU  - Li R
AU  - Zhu L
AU  - Huang H
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3721731
UR  - https://doi.org/10.1109/tpami.2026.3721731
ER  -

APA

R, L., L, Z., & H, H. (2026). Bridging the Gap in Exam Handwritten Text Recognition: Dataset, Benchmark, and Modeling.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3721731

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pubmed · retrieved 2026-11-10T11:13:49.250Z