JOURNAL ARTICLE

Traditional Chinese scene text recognition

Chi-Ling KuoJen‐Chun LeeChung‐Hsien ChenChiu-Chin LinChia-Ti Wu

Year: 2022 Journal:   2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA) Pages: 1-2

Abstract

Signboards, street signs, billboards, slogans and advertisements which can be seen everywhere in the urban area contain a lot of text and convey many information. If these street texts, which provide text information about the location, can be automatically located and identified in the image, it will be useful for application including scene understanding, smart cities, construction of smart transportation, robotics, automatic steering, assisting visual impairments or travelers. Therefore, this paper uses artificial intelligence technology to recognize the text in the scene. The recognition results can be used in various places to make daily life more convenient and technological.

Keywords:
Computer science Artificial intelligence Robotics Computer vision Human–computer interaction Robot Multimedia

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Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Computer Science and Engineering
Physical Sciences →  Computer Science →  Artificial Intelligence
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