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A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
[article]
2020
arXiv
pre-print
Chinese keyword spotting is a challenging task as there is no visual blank for Chinese words. Different from English words which are split naturally by visual blanks, Chinese words are generally split only by semantic information. In this paper, we propose a new Chinese keyword spotter for natural images, which is inspired by Mask R-CNN. We propose to predict the keyword masks guided by text line detection. Firstly, proposals of text lines are generated by Faster R-CNN;Then, text line masks and
arXiv:2001.00722v2
fatcat:evzj4nw64fecfcs5os6wt6eyza