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Text Recognition Model Based on Multi-Scale Fusion CRNN [PDF]

Sensors, 2023
Scene text recognition is a crucial area of research in computer vision. However, current mainstream scene text recognition models suffer from incomplete feature extraction due to the small downsampling scale used to extract features and obtain more ...
Le Zou, Zhihuang He, Kai Wang, Zhize Wu, Yifan Wang, Guanhong Zhang, Xiaofeng Wang   +6 more
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Rectification and Super-Resolution Enhancements for Forensic Text Recognition [PDF]

Sensors, 2020
Retrieving text embedded within images is a challenging task in real-world settings. Multiple problems such as low-resolution and the orientation of the text can hinder the extraction of information.
Pablo Blanco-Medina, Eduardo Fidalgo, Enrique Alegre, Rocío Alaiz-Rodríguez, Francisco Jáñez-Martino, Alexandra Bonnici   +5 more
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Automated Handwritten Text Recognition [PDF]

E3S Web of Conferences, 2023
A computer’s capacity to recognize and convert handwritten inputs from sources like photographs and paper documents into digital format is known as Automated Handwritten Text Recognition (AHTR).
Ram Kumar R.P., Chandra Prasad A., Vishnuvardhan K., Bhuvanesh K., Dhama Sanjeev   +4 more
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Text extraction and recognition method for license plates [PDF]

E3S Web of Conferences, 2023
Text extraction from images has always been challenging, especially if the image is taken under bad conditions, like lightning and noise that can influence text detection and recognition.
Moussaoui Hanae, El Akkad Nabil, Benslimane Mohamed   +2 more
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A Plant Disease Recognition Method Based on Fusion of Images and Graph Structure Text

Frontiers in Plant Science, 2022
The disease image recognition models based on deep learning have achieved relative success under limited and restricted conditions, but such models are generally subjected to the shortcoming of weak robustness. The model accuracy would decrease obviously
Chunshan Wang, Chunshan Wang, Chunshan Wang, Chunshan Wang, Ji Zhou, Ji Zhou, Ji Zhou, Ji Zhou, Yan Zhang, Yan Zhang, Huarui Wu, Huarui Wu, Chunjiang Zhao, Chunjiang Zhao, Guifa Teng, Guifa Teng, Jiuxi Li   +16 more
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A Benchmark of Parsing Vietnamese Publications

IEEE Access, 2022
In recent decades, digital transformation has received growing attention worldwide, that has leveraged the explosion of digitized document data. In this paper, we address the problem of parsing publications, in particular, Vietnamese publications.
Khang Nguyen, Thuan Trong Nguyen, Thuan Q. Nguyen, An Nguyen, Nguyen D. Vo, Tam V. Nguyen   +5 more
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Robust Sewer Defect Detection With Text Analysis Based on Deep Learning

IEEE Access, 2022
Sewerage systems play a vital role in building modern cities, providing appropriate ways to release liquid wastes. Due to the rapid expansion of cities, the deterioration of sewage pipes are increasing.
Chanmi Oh, L. Minh Dang, Dongil Han, Hyeonjoon Moon   +3 more
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Toward a Low-Resource Non-Latin-Complete Baseline: An Exploration of Khmer Optical Character Recognition

IEEE Access, 2023
Many existing text recognition methods rely on the structure of Latin characters and words. Such methods may not be able to deal with non-Latin scripts that have highly complex features, such as character stacking, diacritics, ligatures, non-uniform ...
Rina Buoy, Masakazu Iwamura, Sovila Srun, Koichi Kise   +3 more
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Text Detection and Recognition for Images of Medical Laboratory Reports With a Deep Learning Approach

IEEE Access, 2020
The adoption of electronic health records (EHRs) is an important step in the development of modern medicine. However, complete health records are not often available during treatment because of the functional problem of the EHR system or information ...
Wenyuan Xue, Qingyong Li, Qiyuan Xue
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MTR-SAM: Visual Multimodal Text Recognition and Sentiment Analysis in Public Opinion Analysis on the Internet

Applied Sciences, 2023
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The
Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen, Hangcheng Dong   +8 more
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