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Word Spotting in Scene Images based on Character Recognition
Dena Bazazian, Dimosthenis Karatzas, & Andrew Bagdanov. (2018). Word Spotting in Scene Images based on Character Recognition. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 1872–1874).
In this paper we address the problem of unconstrained Word Spotting in scene images. We train a Fully Convolutional Network to produce heatmaps of all the character classes. Then, we employ the Text Proposals approach and, via a rectangle classifier, detect the most likely rectangle for each query word based on the character attribute maps. We evaluate the proposed method on ICDAR2015 and show that it is capable of identifying and recognizing query words in natural scene images.
Word Spotting in Scene Images based on Character RecognitionDena BazazianDimosthenis KaratzasAndrew Bagdanovinfo:doi/10.1109/CVPRW.2018.00244openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=proceeding&title=Word%20Spotting%20in%20Scene%20Images%20based%20on%20Character%20Recognition&date=2018&spage=1872&epage=1874&aulast=Dena%20Bazazian&au=Dimosthenis%20Karatzas&au=Andrew%20Bagdanov&id=info%3Adoi%2F10.1109%2FCVPRW.2018.00244&sid=refbase%3ACVCDena Bazazian, Dimosthenis Karatzas, & Andrew Bagdanov. (2018). Word Spotting in Scene Images based on Character Recognition. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 1872-1874).2018ConferencePapertextfile:http://refbase.cvc.uab.es/files/BKB2018a.pdfIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops201818721874