Results 41 to 50 of about 4,188,442 (307)
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition [PDF]
IEEE International Conference on Computer Vision, 2021 Although text recognition has significantly evolved over the years, state-of the-art (SOTA) models still struggle in the wild scenarios due to complex backgrounds, varying fonts, uncontrolled illuminations, distortions and other artifacts.
A. Bhunia +5 more
semanticscholar +1 more source
Wastewater pipe defect rating model for pipe maintenance using natural language processing
Frontiers in Water, 2023 IntroductionClosed-circuit video (CCTV) inspection has been the most popular technique for visually evaluating the interior status of pipelines in recent decades. Certified inspectors prepare the pipe repair document based on the CCTV inspection.
Sai Nethra Betgeri +3 more
doaj +1 more source
Currency Recognition Using EAST for Text Detection and Tesseract OCR for Text Recognition
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2023 This research study presents a novel approach for detecting currency utilizing cutting-edge technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract Optical Character Recognition (OCR). The EAST model is employed to identify text within scenes, whereas Tesseract OCR is utilized to effectively recognize and classify monetary
Abass, Eman S. +5 more
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Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition [PDF]
AAAI Conference on Artificial Intelligence, 2021 Existing Scene Text Recognition (STR) methods typically use a language model to optimize the joint probability of the 1D character sequence predicted by a visual recognition (VR) model, which ignore the 2D spatial context of visual semantics within and ...
Yue He +6 more
semanticscholar +1 more source
Classification of Japanese Handwritten Characters Using Biometrics Approach
Applied Sciences, 2023 The following paper presents a solution to the problem of offline recognition of Japanese characters. Minutiae and other features extractable from handwriting images have been used to recognize individual characters. The solution presented by the authors
Piotr Szymkowski +3 more
doaj +1 more source
Self-Supervised Implicit Glyph Attention for Text Recognition [PDF]
Computer Vision and Pattern Recognition, 2022 The attention mechanism has become the de facto module in scene text recognition (STR) methods, due to its capability of extracting character-level representations.
Tongkun Guan +6 more
semanticscholar +1 more source
Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network
IEEE Access, 2019 Wagon text extraction mainly depends on manual identification of relevant information, which is laborious, time consuming, monotonous and error-prone. To address this concern, we develop a two-stage wagon text extraction system based on the combination ...
Meng Lei +5 more
doaj +1 more source
Text recognition of power equipment nameplates based on deep learning
电力工程技术, 2022 There is abundant information in power equipment nameplates. Extracting information from nameplates through image and text recognition technology enables the high effective and quick works on statics and account check of power equipment,which is also ...
WANG Yifan +3 more
doaj +1 more source
Personality Traits Recognition in Literary Texts [PDF]
Proceedings of the Second Workshop on Storytelling, 2019 Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our exploratory work tests the adaptability of the current personality traits theories to literal characters, focusing on the analysis of ...
Daniele Pizzolli, Carlo Strapparava
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Adaptive Text Recognition Through Visual Matching [PDF]
, 2020 In this work, our objective is to address the problems of generalization and flexibility for text recognition in documents. We introduce a new model that exploits the repetitive nature of characters in languages, and decouples the visual representation learning and linguistic modelling stages.
Zhang, C, Gupta, A, Zisserman, A
openaire +3 more sources