Handwriting-Based Text Line Segmentation from Malayalam Documents
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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Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction
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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Research on targeted service technology for early warning information of meteorological disaster based on NLP [PDF]
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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Learning-Free Text Line Segmentation for Historical Handwritten Documents
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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Computational Representation of Cellular Lines: A Text Mining Approach
In the rapidly evolving landscape of cancer drug research, cellular lines serve as invaluable tools for understanding drug-sensitive and drug-resistant tumors. The computational representation of cellular lines is usually based on genomic profiling, even
Ivan Carrera +2 more
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An Unsupervised Learning Approach to Text Line Detection in Complex Illuminated Medieval Manuscripts
This paper outlines a simple and effective clustering and filtering approach for text line detection in challenging illuminated medieval manuscripts from Western Europe. As illuminated medieval manuscripts were copied and illustrated by hand and do not
Lizeth Gonzalez-Carabarin +1 more
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MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream [PDF]
A lot of research has been devoted to identity documents analysis and recognition on mobile devices. However, no publicly available datasets designed for this particular problem currently exist.
Vladimir Arlazarov +3 more
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Evolution maps and applications [PDF]
Common tasks in document analysis, such as binarization, line extraction etc., are still considered difficult for highly degraded text documents. Having reliable fundamental information regarding the characters of the document, such as the distribution ...
Ofer Biller +4 more
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Video Transcript Summarizer [PDF]
In today’s world, a large number of videos are uploaded in everyday, which contains information about something. The major challenge is to find the right video and understand the correct content, because there are lot of videos available some videos will
P Ilampiray +6 more
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Research on Public Security Professional Small Sample Knowledge Extraction Method Based on Large Language Model [PDF]
The rapid development of informatization and digitalization in public security business has generated a large amount of law enforcement case data in public security work.
PEI Bingsen, LI Xin, JIANG Zhangtao, LIU Mingshuai
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