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Dictionary-guided Scene Text Recognition
Computer Vision and Pattern Recognition, 2021Language prior plays an important role in the way humans detect and recognize text in the wild. Current scene text recognition methods do use lexicons to improve recognition performance, but their naive approach of casting the output into a dictionary ...
N. Nguyen +6 more
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HTR-VT: Handwritten text recognition with vision transformer
Pattern RecognitionWe explore the application of Vision Transformer (ViT) for handwritten text recognition. The limited availability of labeled data in this domain poses challenges for achieving high performance solely relying on ViT.
Yuting Li +3 more
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Best Practices for a Handwritten Text Recognition System
International Workshop on Document Analysis SystemsHandwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable boost in performance concerning text recognition, non-trivial deviation in
George Retsinas +3 more
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STAN: A sequential transformation attention-based network for scene text recognition
Pattern Recognition, 2021Scene text with an irregular layout is difficult to recognize. To this end, a Sequential Transformation Attention-based Network (STAN), which comprises a sequential transformation network and an attention-based recognition network, is proposed for ...
Qingxiang Lin +3 more
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Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies
: The newest automation tools, apps, and platforms now available for information storage and shifting have made it possible for each individual to conduct business in a more efficient manner as well as for leisure activities.
K. Khatoon +5 more
semanticscholar +1 more source
: The newest automation tools, apps, and platforms now available for information storage and shifting have made it possible for each individual to conduct business in a more efficient manner as well as for leisure activities.
K. Khatoon +5 more
semanticscholar +1 more source
Text recognition algorithm based on text features
International Journal of Multimedia and Ubiquitous Engineering, 2016It is difficult to realize the text watermarking algorithm on natural language, and the format of text watermarking algorithm has poor robustness against format attacks. This paper presents the new text recognition algorithm based on the text feature. The words are segmented and extracted according to the text feature.
De Li, Xue Zhe Jin, LiHua Cui
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RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
European Conference on Computer Vision, 2020The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition quality.
Xiaoyu Yue +4 more
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2023
Automatic scene text detection and recognition can benefit a large number of daily life applications such as reading signs and labels, and helping visually impaired persons. Reading scene text images becomes more challenging than reading scanned documents in many aspects due to many factors such as variations of font styles and unpredictable lighting ...
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Automatic scene text detection and recognition can benefit a large number of daily life applications such as reading signs and labels, and helping visually impaired persons. Reading scene text images becomes more challenging than reading scanned documents in many aspects due to many factors such as variations of font styles and unpredictable lighting ...
openaire +1 more source
Handwritten Khmer text recognition
2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016This paper proposes a model for an offline handwritten Khmer character recognition. We make use of two dimensional Fourier transformation for feature selection and feed-forward Artificial Neural Net as classification tool. The recognition system allows using the nature of Khmer writing, which is an example of alphasyllabary (Abugida) writing systems ...
Bayram Annanurov, Norliza Mohd Noor
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End-to-end scene text recognition
Vision, 2011This paper focuses on the problem of word detection and recognition in natural images. The problem is significantly more challenging than reading text in scanned documents, and has only recently gained attention from the computer vision community.
Kai Wang +2 more
semanticscholar +1 more source