Naslov
An Overview of State-of-the-art Solutions for Scene Text Detection

Autori
Džida, Mladen ; Vukadin, Davor ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Conference on Computers in Technical Systems MIPRO 2023 / Skala, Karolj - Opatija, 2023, 1100-1106

Skup
46th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2023)

Mjesto i datum
Opatija, Hrvatska, 22.05.2023. - 26.05.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Scene text, Text detection, Bounding box, Multi-oriented text, Segmentation, Convolutional neural network

Sažetak
Scene text detection is a task of identifying text regions and labeling them with bounding boxes in a complex background. It has received a lot of attention recently and has become far from unsolvable due to progress of deep learning for computer vision and also due to rapid development of computer hardware which is able to process complex neural networks. Some of the most common challenges that make this task difficult are irregular text shapes, text interferences, very complex background, different text sizes and low image quality. This paper presents an overview of state-of-the-art solutions for scene text detection where ICDAR 2015 was used as a benchmark dataset. We compare solutions with respect to precision, recall and F-score.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA