Results 1 to 10 of about 215,390 (253)
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Text Line Extraction in Historical Documents Using Mask R-CNN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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Extraction of metadata from solar disk H-alpha observations at Sacramento Peak Observatory [PDF]
Scientific DataWe present metadata (date and time of observations) extracted from the digitized (scanned) photographic images of solar disk observations in neutral hydrogen Hα spectral line made at the U.S. National Solar Observatory at Sacramento Peak during 1966–2002.
Egor A. Illarionov +2 more
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Text Line Extraction Using Fully Convolutional Network and Energy Minimization [PDF]
Lecture Notes in Computer Science, 2021 Text lines are important parts of handwritten document images and easier to analyze by further applications. Despite recent progress in text line detection, text line extraction from a handwritten document remains an unsolved task. This paper proposes to use a fully convolutional network for text line detection and energy minimization for text line ...
Jihad El-Sana +2 more
exaly +3 more sources
Adaptive Script-Independent Text Line Extraction
IEICE Transactions on Information and Systems, 2011 In this paper, an adaptive block-based text line extraction algorithm is proposed. Three global and two local parameters are defined to adapt the method to various handwritings in different languages. A document image is segmented into several overlapping blocks. The skew of each block is estimated.
K Faèz, Majid Ziaratban
exaly +3 more sources
Text line extraction strategy for palm leaf manuscripts
Pattern Recognition Letters, 2023 Jean-Christophe Burie +2 more
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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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