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IEEE Access, 2020 Scene text spotting aims at simultaneously localizing and recognizing text instances, symbols, and logos in natural scene images. Scene text detection and recognition approaches have received immense attention in computer vision research community.
Randheer Bagi +2 more
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Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning [PDF]
European Conference on Computer Vision, 2022 Text detection and recognition are essential components of a modern OCR system. Most OCR approaches attempt to obtain accurate bounding boxes of text at the detection stage, which is used as the input of the text recognition stage.
Jingqun Tang +5 more
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Cursive Text Recognition in Natural Scene Images using Deep Convolutional Recurrent Neural Network
IEEE Access, 2022 Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more complex due to variations in text size, colors, fonts ...
A. Chandio +3 more
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SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Scene text recognition is a hot research topic in computer vision. Recently, many recognition methods based on the encoder-decoder framework have been proposed, and they can handle scene texts of perspective distortion and curve shape. Nevertheless, they
Zhi Qiao +4 more
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MIDV-2020: a comprehensive benchmark dataset for identity document analysis
Компьютерная оптика, 2022 Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation ...
K.B. Bulatov +10 more
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Personality Facets Recognition from Text [PDF]
, 2019 Fundamental Big Five personality traits (e.g., Extraversion) and their facets (e.g., Activity) are known to correlate with a broad range of linguistic features and, accordingly, the recognition of personality traits from text is a well-known Natural Language Processing task.
Santos, Wesley Ramos dos +1 more
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International Journal for Research in Applied Science and Engineering Technology, 2022 The method of extracting text from photographs is crucial in the current environment. The amount of information being stored in digital form instead than on paper has greatly increased in recent years. This makes it easier to store information and allows for easy retrieval of that information as needed. Pre-processing, segmentation, feature extraction,
Safa Umatia +4 more
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Towards Open-Set Text Recognition via Label-to-Prototype Learning [PDF]
Pattern Recognition, 2021 Scene text recognition is a popular topic and can benefit various tasks. Although many methods have been proposed for the close-set text recognition challenges, they cannot be directly applied to open-set scenarios, where the evaluation set contains ...
Chang Liu +5 more
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An End-to-End Scene Text Recognition for Bilingual Text
Big Data and Cognitive ComputingText localization and recognition from natural scene images has gained a lot of attention recently due to its crucial role in various applications, such as autonomous driving and intelligent navigation.
Bayan M. Albalawi +3 more
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, 2023 Computing systems have been around for decades. The purpose of their creation was to replace a person, the ability to perform laborious work requiring complex calculations for him. This article talks about text recognition algorithms.
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