A Survey on Text Information Extraction from Born-Digital and Scene Text Images

2018 ◽  
Vol 89 (1) ◽  
pp. 77-101 ◽  
Author(s):  
S. P. Faustina Joan ◽  
S. Valli
Keyword(s):  
Information Extraction ◽  
Scene Text ◽  
Text Information ◽  
Text Images

An Overview of Text Information Extraction from Images

2017 ◽  
pp. 32-60
Author(s):  
Prabhakar C. J.
Keyword(s):  
Computer Vision ◽  
Literature Review ◽  
Information Extraction ◽  
Extraction Process ◽  
Scene Text ◽  
Text Information

In this chapter, we present an overview of text information extraction from images/video. This chapter starts with an introduction to computer vision and its applications, which is followed by an introduction to text information extraction from images/video. We describe various forms of text, challenges and steps involved in text information extraction process. The literature review of techniques for text information extraction from images/video is presented. Finally, our approach for extraction of scene text information from images is presented.

scholarly journals A Robot Object Recognition Method Based on Scene Text Reading in Home Environments

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1919
Author(s):  
Shuhua Liu ◽  
Huixin Xu ◽  
Qi Li ◽  
Fei Zhang ◽  
Kun Hou
Keyword(s):  
Object Recognition ◽  
Recognition Accuracy ◽  
Multiple Objects ◽  
Recognition Method ◽  
Home Environments ◽  
Complex Scenes ◽  
Scene Text ◽  
Text Reading ◽  
Text Images ◽  
Chinese And English

With the aim to solve issues of robot object recognition in complex scenes, this paper proposes an object recognition method based on scene text reading. The proposed method simulates human-like behavior and accurately identifies objects with texts through careful reading. First, deep learning models with high accuracy are adopted to detect and recognize text in multi-view. Second, datasets including 102,000 Chinese and English scene text images and their inverse are generated. The F-measure of text detection is improved by 0.4% and the recognition accuracy is improved by 1.26% because the model is trained by these two datasets. Finally, a robot object recognition method is proposed based on the scene text reading. The robot detects and recognizes texts in the image and then stores the recognition results in a text file. When the user gives the robot a fetching instruction, the robot searches for corresponding keywords from the text files and achieves the confidence of multiple objects in the scene image. Then, the object with the maximum confidence is selected as the target. The results show that the robot can accurately distinguish objects with arbitrary shape and category, and it can effectively solve the problem of object recognition in home environments.

Text information extraction in images and video: a survey

2004 ◽  
Vol 37 (5) ◽  
pp. 977-997 ◽  
Author(s):  
Keechul Jung ◽  
Kwang In Kim ◽  
Anil K. Jain
Keyword(s):  
Information Extraction ◽  
Text Information

Efficient Character Skew Rectification in Scene Text Images

2015 ◽  
pp. 134-146
Author(s):  
Michal Bušta ◽  
Tomáš Drtina ◽  
David Helekal ◽  
Lukáš Neumann ◽  
Jiří Matas
Keyword(s):  
Scene Text ◽  
Text Images

A novel method for binarization of scene text images and its application in text identification

2018 ◽  
Vol 22 (4) ◽  
pp. 1361-1375 ◽  
Author(s):  
Ranjit Ghoshal ◽  
Anandarup Roy ◽  
Ayan Banerjee ◽  
Bibhas Chandra Dhara ◽  
Swapan K. Parui
Keyword(s):  
Scene Text ◽  
Novel Method ◽  
Text Images

scholarly journals SynthText3D: synthesizing scene text images from 3D virtual worlds

2020 ◽  
Vol 63 (2) ◽  
Author(s):  
Minghui Liao ◽  
Boyu Song ◽  
Shangbang Long ◽  
Minghang He ◽  
Cong Yao ◽  
...  
Keyword(s):  
Virtual Worlds ◽  
3D Virtual Worlds ◽  
Scene Text ◽  
Text Images
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