Paper Info
Title
Word Spotting in Scene Images Based on Character Recognition.
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.
Year
DOI
Venue
2018
10.1109/CVPRW.2018.00244
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Field
DocType
ISSN
Histogram,Computer vision,Character recognition,Pattern recognition,Computer science,Rectangle,Artificial intelligence,Classifier (linguistics),Spotting,Text recognition
Conference
2160-7508
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Dena Bazazian182.89
Dimosthenis Karatzas240638.13
Andrew D. Bagdanov386152.78