Year: 2020
Type: dissertation
Abstract: There exist classic algorithms for QR detection in photographies under certain deformations (afine, perspective, cilindrical, etc.). There are scenarios in which the deformation is arbitrary and it cannot be solved with these methods. For these, the use of neural networks is proposed to locate and decode them. This project will be focused on: detect QR codes on an image and segmentate which parts of these images correspond to these QR codes.
Author: Hamid Latif Martinez
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3094121671