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State-of-the-Art Khmer Text Recognition Using Deep Learning Models

Year: 2024

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Keo, Saly, Coustaty, Mickaël, Bakkali, Souhail, Rossinyol, Marçal

Institutions: CADT - Cambodia Academy of Digital Technology, La Rochelle Université, Laboratoire Informatique, Image et Interaction (L3i)

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: La Rochelle Université

OpenAlex ID: W7034082608

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