Results 11 to 20 of about 488,004 (308)
Handwritten Text Recognition for Bengali [PDF]
This work has been partially supported through the European Union’s H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and partially supported by MINECO/FEDER, UE under project TIN2015-70924-C2-1-R.
Sanchez, Joan Andreu, Pal, Umapada
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Text Recognition Model Based on Multi-Scale Fusion CRNN [PDF]
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 +6 more
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Rectification and Super-Resolution Enhancements for Forensic Text Recognition [PDF]
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 +5 more
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Automated Handwritten Text Recognition [PDF]
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. +4 more
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Automatic Text Recognition Made Easy [PDF]
Textual sources, primarily handwritten, and found in archives or libraries, are critical for humanities research. These sources, whether scanned by researchers or digitized by cultural institutions, need to be accessible in full text to facilitate ...
Mareike König
core +1 more source
The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scenarios. Therefore, text recognition in natural scenes has been an active research topic in computer vision and pattern recognition.
Xiaoxue Chen +4 more
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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 +8 more
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Re-Ranking System with BERT for Biomedical Concept Normalization
In recent years, various neural network architectures have been successfully applied to natural language processing (NLP) tasks such as named entity normalization.
Hyejin Cho, Dongha Choi, Hyunju Lee
doaj +1 more source
Joint Subtitle Extraction and Frame Inpainting for Videos with Burned-In Subtitles
Subtitles are crucial for video content understanding. However, a large amount of videos have only burned-in, hardcoded subtitles that prevent video re-editing, translation, etc.
Haoran Xu +5 more
doaj +1 more source
STRIDE: Scene Text Recognition In-Device [PDF]
accepted in IJCNN ...
Rachit S. Munjal +4 more
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