In this paper, we propose a novel end-to-end approach to scene text recognition with a specially trained fully con- volutional network for predicting the ...
In this paper, we propose a novel end-to-end approach to scene text recognition with a specially trained fully convolutional network for predicting the centroid ...
Bibliographic details on End-to-End Scene Text Recognition with Character Centroid Prediction.
In this paper, we propose a novel end-to-end approach to scene text recognition with a specially trained fully convolutional network for predicting the centroid ...
The main aim of this thesis is to propose a dictionary driven end-to-end scene text recognition system, achieving competitive performance on the ICDAR datasets ...
Feb 27, 2024 · This paper proposes a method that leverages linguistic knowledge from a large text corpus to replace the traditional one-hot encoding used in auto-regressive ...
Detection of text and identification of characters in scene images is a challenging visual recognition problem. As in much of computer vision, the challenges ...
Apr 16, 2016 · We show that the predicted character centroids provide accurate posi- tions of each character, which are effective features for re- moving the ...
This paper considers using two-layer, convolutional neural networks (CNNs) to construct an end-to-end text recognition system for natural images.
Missing: Centroid Prediction.
This study introduces an innovative method for identifying irregular text in images of natural scenes. The approach utilizes a U-net architecture combined with ...