Xueming Qiao1, Yingxue Xia1, Weiyi Zhu2, Dongjie Zhu3, *, Liang Kong1, Chunxu Lin3, Zhenhao Guo3, Yiheng Sun3
Journal on Artificial Intelligence, Vol.2, No.1, pp. 29-37, 2020, DOI:10.32604/jai.2020.09955
- 15 July 2020
Abstract Natural scene recognition has important significance and value in the fields of
image retrieval, autonomous navigation, human-computer interaction and industrial
automation. Firstly, the natural scene image non-text content takes up relatively high
proportion; secondly, the natural scene images have a cluttered background and complex
lighting conditions, angle, font and color. Therefore, how to extract text extreme regions
efficiently from complex and varied natural scene images plays an important role in natural
scene image text recognition. In this paper, a Text extremum region Extraction algorithm
based on Joint-Channels (TEJC) is proposed. On the one hand, it More >
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