CRF based text detection for natural scene images using convolutional neural network and context information

2018 ◽  
Vol 295 ◽  
pp. 46-58 ◽  
Author(s):  
Yanna Wang ◽  
Cunzhao Shi ◽  
Baihua Xiao ◽  
Chunheng Wang ◽  
Chengzuo Qi
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Text Detection ◽  
Context Information ◽  
Natural Scene ◽  
Natural Scene Images

Text Detection in Natural Scene Images Leveraging Context Information

2014 ◽  
pp. 444-454 ◽  
Author(s):  
Runmin Wang ◽  
Nong Sang ◽  
Changxin Gao ◽  
Xiaoqin Kuang ◽  
Jun Xiang
Keyword(s):  
Text Detection ◽  
Context Information ◽  
Natural Scene ◽  
Natural Scene Images

scholarly journals Cursive Character Recognition in Natural Scene Images Using a Multilevel Convolutional Neural Network Fusion

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 109054-109070
Author(s):  
Asghar Ali Chandio ◽  
Md. Asikuzzaman ◽  
Mark R. Pickering
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Character Recognition ◽  
Natural Scene ◽  
Natural Scene Images

Devanagari Text Detection From Natural Scene Images

2020 ◽  
Vol 10 (3) ◽  
pp. 44-59
Author(s):  
Sankirti Sandeep Shiravale ◽  
R. Jayadevan ◽  
Sanjeev S. Sannakki
Keyword(s):  
Edge Detection ◽  
Image Understanding ◽  
Text Detection ◽  
Experimental Results ◽  
Combined Approach ◽  
Natural Scene ◽  
Light Conditions ◽  
The Individual ◽  
Natural Scene Images ◽  
Better Than

Text present in a camera captured scene images is semantically rich and can be used for image understanding. Automatic detection, extraction, and recognition of text are crucial in image understanding applications. Text detection from natural scene images is a tedious task due to complex background, uneven light conditions, multi-coloured and multi-sized font. Two techniques, namely ‘edge detection' and ‘colour-based clustering', are combined in this paper to detect text in scene images. Region properties are used for elimination of falsely generated annotations. A dataset of 1250 images is created and used for experimentation. Experimental results show that the combined approach performs better than the individual approaches.

Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing

2021 ◽  
Author(s):  
Basim Azam ◽  
Ranju Mandal ◽  
Brijesh Verma
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Context Information ◽  
Image Parsing
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