Word Spotting in Scene Images Based on Character Recognition

Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, pp. 1872-1874

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.

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[bibtex]
@InProceedings{Bazazian_2018_CVPR_Workshops,
author = {Bazazian, Dena and Karatzas, Dimosthenis and Bagdanov, Andrew D.},
title = {Word Spotting in Scene Images Based on Character Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}