Results 11 to 20 of about 167,358 (260)
Contrasting off‐line segmentation decisions with on‐line word segmentation during reading [PDF]
In two experiments, we investigated the correspondences between off‐line word segmentation and on‐line segmentation processing during Chinese reading. In Experiment 1, participants were asked to read sentences which contained critical four‐character strings, and then, they were required to segment the same sentences into words in a later off‐line word ...
He, Liyuan +5 more
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Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks [PDF]
Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture.
Florian Côme Fizaine +6 more
doaj +2 more sources
A benchmark dataset for text line segmentation in palm leaf documents [PDF]
Palm leaf manuscript is one of the oldest writing media used in South and Southeast Asia. Its use spanned from the medieval era into the nineteenth century, resulting in millions of manuscripts.
Remya Sivan, Peeta Basa Pati
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Digitalizing line segments [PDF]
Abstract We introduce a novel and general approach for digitalization of line segments in the plane that satisfies a set of axioms naturally arising from Euclidean axioms. In particular, we show how to derive such a system of digital segments from any total order on the integers.
Tobias Christ +2 more
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Consistent Digital Line Segments [PDF]
We introduce a novel and general approach for digitalization of line segments in the plane that satisfies a set of axioms naturally arising from Euclidean axioms. In particular, we show how to derive such a system of digital segments from any total order on the integers. As a consequence, using a well-chosen total order, we manage to define a system of
Tobias Christ +2 more
openaire +4 more sources
Rule Based Speech Signal Segmentation
This paper presents the automated speech signal segmentation problem. Segmentation algorithms based on energetic threshold showed good results only in noise-free environments.
Mindaugas Greibus, Laimutis Telksnys
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Three-Dimensional Hand Reconstruction by Single-Shot Structured Light Line Pattern
3-D hand reconstruction is required in many applications, e.g., hand gesture controls, hand modeling, biomechanical analysis, humanoid robot hand design and analysis, hand surgery, and so on.
Zhenzhou Wang, Cunshan Zhang
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Navigation algorithm based on semantic segmentation in wheat fields using an RGB-D camera
Determining the navigation line is critical for the automatic navigation of agricultural robots in the farmland. In this research, considering a wheat field as the typical scenario, a novel navigation line extraction algorithm based on semantic ...
Yan Song +4 more
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Segmentation and Recognition for Historical Tibetan Document Images
As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received extensive attention from historians, linguists and Buddhist scholars.
Longlong Ma +5 more
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Pixel segmentation is one of the most commonly used deep learning methods for modern lane line detection. Although deep segmentation outperforms traditional methods, there are two main problems: slow speed and limited receptive field.
Qin Yang +7 more
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