English billboard text recognition using deep learning

Autor:	Zitong Zhang, Enbo Yu
Rok vydání:	2021
Předmět:	History business.industry Computer science Deep learning Text recognition Artificial intelligence computer.software_genre business computer Natural language processing Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1994:012003
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1994/1/012003
Popis:	English billboards are common in our daily work and life, and how to effectively recognize them is a problem worthy of study. This paper mainly uses Progressive Scale Expansion Network (PSENet) and Convolutional Recurrent Neural Network (CRNN) to conduct text recognition experiments on English billboards. The English billboards are divided into four categories: text distortion, larger background, special text font, and normal format. PSENet is used for text detection, and CRNN is used for text recognition. The identification results of PSENet and CRNN revealed differences among the four groups of English billboards: normal format text recognition is the best, and large background text recognition is the worst, and the recognition effect of text distortion and special text font is less accurate. Finally, the work of this paper is analyzed and summarized, and the future work is prospected.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::572d2448c0ba7748ddcb6d4b54193809 https://doi.org/10.1088/1742-6596/1994/1/012003 Zobrazit plný text záznamu