Word Spotting in Scene Images based on Character Recognition

被引：1
|
作者：
Bazazian, Dena [1 ]
Karatzas, Dimosthenis [1 ]
Bagdanov, Andrew D. [2 ]
机构：
[1] Univ Autonoma Barcelona, CVC, Barcelona, Spain
[2] Univ Florence, MICC, I-50121 Florence, Italy
来源：
PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) | 2018年
关键词：
D O I：
10.1109/CVPRW.2018.00244
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1953 / 1955
页数：3
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