How Far Deep Learning Systems for Text Detection and Recognition in Natural Scenes are Affected by Occlusion?

2021 ◽  
pp. 198-212
Author(s):  
Aline Geovanna Soares ◽  
Byron Leite Dantas Bezerra ◽  
Estanislau Baptista Lima
Keyword(s):  
Deep Learning ◽  
Text Detection ◽  
Learning Systems ◽  
Natural Scenes ◽  
Detection And Recognition

scholarly journals Urdu-Text Detection and Recognition in Natural Scene Images Using Deep Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96787-96803 ◽  
Author(s):  
Syed Yasser Arafat ◽  
Muhammad Javed Iqbal
Keyword(s):  
Deep Learning ◽  
Text Detection ◽  
Natural Scene ◽  
Natural Scene Images ◽  
Detection And Recognition

Ticket Text Detection and Recognition Based on Deep Learning

2019 ◽  
Author(s):  
Xiuxin Chen ◽  
Zhijing Lv ◽  
Dongdong Zhu ◽  
Chongchong Yu
Keyword(s):  
Deep Learning ◽  
Text Detection ◽  
Detection And Recognition

scholarly journals Deep learning for scene text detection and recognition

2018 ◽  
Vol 48 (5) ◽  
pp. 531-544 ◽  
Author(s):  
Xiang BAI ◽  
Minghui LIAO ◽  
Baoguang SHI ◽  
Mingkun YANG
Keyword(s):  
Deep Learning ◽  
Text Detection ◽  
Scene Text Detection ◽  
Scene Text ◽  
Detection And Recognition

Multi-language Text Detection and Recognition Based on Deep Learning

2021 ◽  
Author(s):  
Hao-Hsiang Chaung ◽  
Di-Wen Chen ◽  
Chang-Hong Lin
Keyword(s):  
Deep Learning ◽  
Text Detection ◽  
Language Text ◽  
Detection And Recognition

scholarly journals Improvement of the end-to-end scene text recognition method for “text-to-speech” conversion

2020 ◽  
Vol 18 (06) ◽  
pp. 2050052
Author(s):  
Fazliddin Makhmudov ◽  
Mukhriddin Mukhiddinov ◽  
Akmalbek Abdusalomov ◽  
Kuldoshbay Avazov ◽  
Utkir Khamdamov ◽  
...  
Keyword(s):  
Text Detection ◽  
Text Recognition ◽  
Natural Scenes ◽  
Natural Scene ◽  
Text To Speech ◽  
Convolutional Network ◽  
Full Color ◽  
Active Research ◽  
Natural Scene Images ◽  
Detection And Recognition

Methods for text detection and recognition in images of natural scenes have become an active research topic in computer vision and have obtained encouraging achievements over several benchmarks. In this paper, we introduce a robust yet simple pipeline that produces accurate and fast text detection and recognition for the Uzbek language in natural scene images using a fully convolutional network and the Tesseract OCR engine. First, the text detection step quickly predicts text in random orientations in full-color images with a single fully convolutional neural network, discarding redundant intermediate stages. Then, the text recognition step recognizes the Uzbek language, including both the Latin and Cyrillic alphabets, using a trained Tesseract OCR engine. Finally, the recognized text can be pronounced using the Uzbek language text-to-speech synthesizer. The proposed method was tested on the ICDAR 2013, ICDAR 2015 and MSRA-TD500 datasets, and it showed an advantage in efficiently detecting and recognizing text from natural scene images for assisting the visually impaired.

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