scholarly journals Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation

2019 ◽  
Author(s):  
Xiaobing Wang ◽  
Yingying Jiang ◽  
Zhenbo Luo ◽  
Cheng-Lin Liu ◽  
Hyunsoo Choi ◽  
...  
Keyword(s):  
Arbitrary Shape ◽  
Text Detection ◽  
Scene Text Detection ◽  
Scene Text ◽  
Region Representation

scholarly journals Arbitrary Shape Natural Scene Text Detection Method Based on Soft Attention Mechanism and Dilated Convolution

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 122685-122694
Author(s):  
Xiao Qin ◽  
Jianhui Jiang ◽  
Chang-An Yuan ◽  
Shaojie Qiao ◽  
Wei Fan
Keyword(s):  
Arbitrary Shape ◽  
Detection Method ◽  
Text Detection ◽  
Attention Mechanism ◽  
Natural Scene ◽  
Dilated Convolution ◽  
Scene Text Detection ◽  
Scene Text

OPMP: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection

2021 ◽  
Vol 23 ◽  
pp. 454-467 ◽  
Author(s):  
Sheng Zhang ◽  
Yuliang Liu ◽  
Lianwen Jin ◽  
Zhongrong Wei ◽  
Chunhua Shen
Keyword(s):  
Arbitrary Shape ◽  
Text Detection ◽  
Scene Text Detection ◽  
Scene Text

scholarly journals Weather Prediction and Smart Notification System

2021 ◽  
pp. 62-66
Author(s):  
Yatesh Manghate ◽  
Prabha Nair ◽  
Pranita Chaudhary ◽  
Mitali Mishra ◽  
Ninad Bhivgade ◽  
...  
Keyword(s):  
Computer Vision ◽  
Weather Prediction ◽  
Image Sensor ◽  
Text Detection ◽  
Time Step ◽  
Notification System ◽  
Boundary Points ◽  
Scene Text Detection ◽  
Scene Text ◽  
Region Representation

In the recent period, many real-world applications and institutions generates a huge amount of data which is unstructured i.e., in the form of images containing data, receipts, invoices, forms, statements, contracts etc. This rich and detailed information presented in the text is of great significance in computer vision-based applications (driverless cars, assisting blind and visually impaired people, detecting labels and packages, automatic number plate recognition etc.). Recently, there has been a hike in the efforts, researches and progresses being done in this domain for its significance in data analysis and computer vision. Here has been a diversity of challenges in unstructured data like image sensor noise, different viewing angles, blur, lighting conditions, resolution, and non-planar object. Our objective for taking up this topic for research are i) to detect and recognize the text from the data ii) to handle diversity and variability of text in natural scene iii) to explore various datasets iv) to deal with various issues occurring in scene text detection. To tackle this problem, we propose a robust scene text detection and recognition method with adaptive text region representation using deep learning model open CV with EAST algorithm as detection pipeline and tesseract. The recurrent neural network-based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found. In this way, text regions in an image are detected and represented with the adaptive number of boundary points.

Multi-oriented scene text detection by fixed-width multi-ratio rotation anchors

2021 ◽  
Vol 95 ◽  
pp. 107428
Author(s):  
Beiji Zou ◽  
Wenjun Yang ◽  
Shu Liu ◽  
Lingzi Jiang
Keyword(s):  
Text Detection ◽  
Scene Text Detection ◽  
Scene Text
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