Work

Specialized HTR vs Vision-Language Models: Evaluating DANIEL and Fine-Tuned Qwen on Historical Documents

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Document Analysis and Recognition – ICDAR 2026: 20th International Conference, Vienna, Austria, August 31 – September 2, 2026, Proceedings, Part II

DOI: 10.1007/978-3-032-36033-5_41

Authors: Gabriel Frossard, Flavian Theurel, Wissam Al-Kendi, Franck Gechter

Institutions: Université de technologie de belfort-montbéliard, Connaissance & Intelligence Artificielle Distribuées

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7204011900

FWCI:

Cites: 19

Cited by:

Related to: 10