YOLO, EAST : Comparison of Scene Text Detection Performance, Using a Neural Network Model


KIPS Transactions on Software and Data Engineering, Vol. 11, No. 3, pp. 115-124, Mar. 2022
https://doi.org/10.3745/KTSDE.2022.11.3.115,   PDF Download:
Keywords: Scene Text Detection, YOLO, EAST, Neural Network
Abstract

In this paper, YOLO and EAST models are tested to analyze their performance in text area detecting for real-world and normal text images. The earl ier YOLO models which include YOLOv3 have been known to underperform in detecting text areas for given images, but the recently released YOLOv4 and YOLOv5 achieved promising performances to detect text area included in various images. Experimental results show that both of YOLO v4 and v5 models are expected to be widely used for text detection in the filed of scene text recognition in the future.


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Cite this article
[IEEE Style]
P. C. Yong, L. Y. Min, J. S. Dae, C. Y. Heuk, L. B. Chul, L. G. Hyun, K. J. Wook, "YOLO, EAST : Comparison of Scene Text Detection Performance, Using a Neural Network Model," KIPS Transactions on Software and Data Engineering, vol. 11, no. 3, pp. 115-124, 2022. DOI: https://doi.org/10.3745/KTSDE.2022.11.3.115.

[ACM Style]
Park Chan Yong, Lim Young Min, Jeong Seung Dae, Cho Young Heuk, Lee Byeong Chul, Lee Gyu Hyun, and Kim Jin Wook. 2022. YOLO, EAST : Comparison of Scene Text Detection Performance, Using a Neural Network Model. KIPS Transactions on Software and Data Engineering, 11, 3, (2022), 115-124. DOI: https://doi.org/10.3745/KTSDE.2022.11.3.115.