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CNN-LSTM-Based Bilingual Receipt Information Extraction Using Template-Based Data Generation

Year: 2024

Type: conference-paper

Source: International Computer Science and Engineering Conference

DOI: 10.1109/icsec62781.2024.10770740

Authors: Santitham Prom-on, Phoramint Chotwarutkit, Poonyawee Wongwisetsuk, Jaturon Harnsomburana

Institution: King Mongkut's University of Technology Thonburi

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: W4404953586

FWCI: 0.211

Cites: 18

Cited by: 1

Related to: 10