Publications
2024
1.
Blanco-Medina, Pablo; Biswas, Rubel; González-Castro, Victor; Alaiz-Rodríguez, Rocío; Fidalgo, Eduardo; Alegre, Enrique
Mejoras en extracción de URLs en smishing mediante text spotting Artículo de revista
En: Jornadas de Automática, no 45, 2024.
Resumen | Enlaces | BibTeX | Etiquetas: CERT, OCR, Smishing, text spotting
@article{blanco-medina_mejoras_2024,
title = {Mejoras en extracción de URLs en smishing mediante text spotting},
author = {Pablo Blanco-Medina and Rubel Biswas and Victor González-Castro and Rocío Alaiz-Rodríguez and Eduardo Fidalgo and Enrique Alegre},
url = {https://revistas.udc.es/index.php/JA_CEA/article/view/10954},
year = {2024},
date = {2024-01-01},
journal = {Jornadas de Automática},
number = {45},
abstract = {Este trabajo propone un proceso para extraer URLs de Smishing de capturas de pantalla, utilizando técnicas de Text Spotting y una reconstrucción personalizada de URLs. Al aplicar esta metodología en 244 capturas y 262 URLs, se mejora la precisión del reconocimiento de un 3,05% a un 22,90%, optimizando el procesamiento de texto en Smishing.},
keywords = {CERT, OCR, Smishing, text spotting},
pubstate = {published},
tppubtype = {article}
}
Este trabajo propone un proceso para extraer URLs de Smishing de capturas de pantalla, utilizando técnicas de Text Spotting y una reconstrucción personalizada de URLs. Al aplicar esta metodología en 244 capturas y 262 URLs, se mejora la precisión del reconocimiento de un 3,05% a un 22,90%, optimizando el procesamiento de texto en Smishing.
2022
2.
Blanco-Medina, Pablo; Fidalgo, Eduardo; Alegre, Enrique; González-Castro, Víctor
A survey on methods, datasets and implementations for scene text spotting Artículo de revista
En: IET Image Processing, vol. 16, no 13, pp. 3426–3445, 2022.
Resumen | Enlaces | BibTeX | Etiquetas: Computer vision, image text detection, OCR, text spotting
@article{blanco-medina_survey_2022,
title = {A survey on methods, datasets and implementations for scene text spotting},
author = {Pablo Blanco-Medina and Eduardo Fidalgo and Enrique Alegre and Víctor González-Castro},
url = {https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ipr2.12574},
year = {2022},
date = {2022-01-01},
journal = {IET Image Processing},
volume = {16},
number = {13},
pages = {3426–3445},
abstract = {ext Spotting combines the tasks of detecting and transcribing text present in images, addressing challenges like orientation, aspect ratio, vertical text, and multiple languages in a single image. This paper analyzes and compares the most recent methods and publications in the field, extending beyond traditional comparisons of architectures and performance. It also discusses aspects often overlooked, such as hardware, software, backbone architectures, main challenges, and programming languages used in algorithms. The review covers research from 2016 to 2022, highlighting current problems, future trends, and providing a baseline for the development and comparison of future Text Spotting methods.},
keywords = {Computer vision, image text detection, OCR, text spotting},
pubstate = {published},
tppubtype = {article}
}
ext Spotting combines the tasks of detecting and transcribing text present in images, addressing challenges like orientation, aspect ratio, vertical text, and multiple languages in a single image. This paper analyzes and compares the most recent methods and publications in the field, extending beyond traditional comparisons of architectures and performance. It also discusses aspects often overlooked, such as hardware, software, backbone architectures, main challenges, and programming languages used in algorithms. The review covers research from 2016 to 2022, highlighting current problems, future trends, and providing a baseline for the development and comparison of future Text Spotting methods.