Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kalthoum Adam"'
Publikováno v:
IEEE Access, Vol 8, Pp 153517-153534 (2020)
Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs to identify foreground pixe
Externí odkaz:
https://doaj.org/article/f2684625063e46a99bc57efdc7ac78b5
Publikováno v:
Journal of Imaging, Vol 8, Iss 3, p 60 (2022)
Automatic dating tools for historical documents can greatly assist paleographers and save them time and effort. This paper describes a novel method for estimating the date of historical Arabic documents that employs hierarchical fusions of multiple f
Externí odkaz:
https://doaj.org/article/28a7f3ddc5d14352bd7f54a196df2f5c
The age of a historical manuscript can be an invaluable source of information for paleographers and historians. The process of automatic manuscript age detection has inherent complexities, which are compounded by the lack of suitable datasets for alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad04f9a2c05d6cb93548d1979c8b1aa
https://nrl.northumbria.ac.uk/id/eprint/38132/1/Adam2018_Article_KERTASDatasetForAutomaticDatin.pdf
https://nrl.northumbria.ac.uk/id/eprint/38132/1/Adam2018_Article_KERTASDatasetForAutomaticDatin.pdf
This paper examines Ma'il Qur'an Leaf manuscript housed in Tareq Rajab Museum in Kuwait. It discusses the manuscript‘s vocalization, dating, script, writing material, special inks formulated for parchment and manuscript ‗s origin. The manuscript
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555f1ff6ca59c616118c1da00ffcb219
Publikováno v:
ASAR
Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and date of ancient documents. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::519d6d8fb27d064b20f4e0f3fbdc3ba0
https://doi.org/10.1109/asar.2017.8067767
https://doi.org/10.1109/asar.2017.8067767