Work

BHCP-DOC: A Real-World Bilingual Dataset for Handwritten Clinical Prescription Detection and Recognition

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-39379-1_31

Authors: Fatima Bukhari, Mickael Coustaty, Muhammad Muzzamil Luqman, Souhail Bakkali, Michael G. Madden, Nadeem Iqbal Kajla

Institutions: National University of Modern Languages, Muhammad Nawaz Shareef University of Agriculture, Laboratoire Informatique, Image et Interaction (L3i), La Rochelle Université, Centre National de la Recherche Scientifique, Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes, Ollscoil na Gaillimhe – University of Galway, Dundalk Institute of Technology

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: W7220856271

FWCI:

Cites: 23

Cited by:

Related to: 10