Word Spotting in Scene Images Based on Character Recognition

Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov

CVPRW 2018 pp. 1872-1874

doi:10.1109/CVPRW.2018.00244 /cvprw/2018/bazazian2018cvprw-word/

Abstract

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.

CVPRW Semantic Scholar

Cite

Text

Bazazian et al. "Word Spotting in Scene Images Based on Character Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018. doi:10.1109/CVPRW.2018.00244

Markdown

[Bazazian et al. "Word Spotting in Scene Images Based on Character Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018.](https://mlanthology.org/cvprw/2018/bazazian2018cvprw-word/) doi:10.1109/CVPRW.2018.00244

BibTeX

@inproceedings{bazazian2018cvprw-word,
  title     = {{Word Spotting in Scene Images Based on Character Recognition}},
  author    = {Bazazian, Dena and Karatzas, Dimosthenis and Bagdanov, Andrew D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2018},
  pages     = {1872-1874},
  doi       = {10.1109/CVPRW.2018.00244},
  url       = {https://mlanthology.org/cvprw/2018/bazazian2018cvprw-word/}
}