Results 1 to 10 of about 391 (204)
Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction [PDF]
Sensors, 2010 Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse
Darko Brodić +2 more
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Text Line Extraction in Historical Documents Using Mask R-CNN
Signals, 2022 Text line extraction is an essential preprocessing step in many handwritten document image analysis tasks. It includes detecting text lines in a document image and segmenting the regions of each detected line.
Ahmad Droby +5 more
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Automated BIM generation using drawing recognition and line-text extraction
Journal of Asian Architecture and Building Engineering, 2021 The number of building-information modeling (BIM)-applied construction projects has been increased with an expectation that it will transform the labor-intensive building industry into a knowledge-based one. The time and effort required for modeling vary
Juhee Rho, Hyun-Soo Lee, Moonseo Park
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Understanding Unsupervised Deep Learning for Text Line Segmentation
Applied Sciences, 2022 We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. Humans can easily group local text line features to global coarse patterns.
Ahmad Droby +5 more
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Zhejiang dianli, 2023 Image text recognition and deep learning technology are gradually applied in the field of engineering drawing recognition. The electrical secondary drawing takes the terminal block drawing as an example， which has problems such as small target detection ...
CHU Xueru +5 more
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A Neural Network Model for Text Detection in Chinese Drug Package Insert
IEEE Access, 2021 The text information in the medical photocopies is of great significance to the construction of medical digital platform. Text region detection, the very first step of extracting medical photocopies information, is functional to detect text area or ...
Haiwen Wu, Ri-Gui Zhou, Yaochong Li
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Handwriting-Based Text Line Segmentation from Malayalam Documents
Applied Sciences, 2023 Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document
Pearlsy P V, Deepa Sankar
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Research on targeted service technology for early warning information of meteorological disaster based on NLP [PDF]
ITM Web of Conferences, 2022 Affected by global climate change and the superposition of urban construction, the climate of city meteorological guarantee service puts forward new requirements and new challenges.
Feng Yuxing +5 more
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Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
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Learning-Free Text Line Segmentation for Historical Handwritten Documents
Applied Sciences, 2020 We present a learning-free method for text line segmentation of historical handwritten document images. This method relies on automatic scale selection together with second derivative of anisotropic Gaussian filters to detect the blob lines that strike ...
Berat Kurar Barakat +4 more
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