Towards the Machine Reading of Arabic Calligraphy: A Letters Dataset and Corresponding Corpus of Text

Salamah, Seetah Al; King, Ross D.

doi:10.1109/asar.2018.8480228

Cited by 6 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Extracting text from the image of the Qur'anic content out of the printed texts or calligraphic manuscripts, alignment of the text of the Qur'an with the corresponding region of the image at the level of 'word' or 'line', as well as evaluation of the authenticity of the printed image of Qur'an considering the exactness of letters and diacritics are among the topics dealt in the studies within this collection. [49]- [53].…”

Section: Comparison With Hadithmentioning

confidence: 99%

Artificial Intelligence and Modern Information Technologies Applications in Islamic Sciences: A Survey

Rabiei Zadeh

2023

IJPCC

View full text Add to dashboard Cite

Considering the progress of Artificial Intelligence (AI) and the Information Technology (IT) we witness, during recent years, the spread of the application of these technologies in various fields. The research workflows, and in particular, the researches on Islamic sciences are not excepted from this issue. Several works have been carried out in order to exploit the AI and modern information technologies in the researches on Islamic sciences during recent years all over the Islamic regions and beyond them. It is very important to be aware of the latest developments in this field from different aspects like: 1) Benefiting from the advantages of modern technologies in the Islamic researches, 2) Reorganizing the educational plans in accordance with these developments, and 3) Introducing the new applications of AI in Islamic studies to the academics of computer sciences who may be interested in this field. In this paper, in the first step, a systematic review was conducted concerning more than four thousand international scientific articles related to applying AI and modern IT in Islamic studies, out of which 975 ones were chosen. At the same time, major institutions in this field were identified. In the next step the selected articles were classified in five thematic fields of 1) the Holy Qur’an, Tafsir and other related issues, 2) Hadith and Rijal Sciences, 3) Islamic Law and Jurisprudence, 4) the General Islamic Content in Social Media, 5) Other Subjects related to Islamic Sciences like Linguistics, History, Geography, etc. In the third step, the articles of each category were classified in a number of major subcategories that amount to 73 in total. Finally, in the last step, the distinctive articles in each field were introduced briefly.

show abstract

Section: Comparison With Hadithmentioning

confidence: 99%

Artificial Intelligence and Modern Information Technologies Applications in Islamic Sciences: A Survey

Rabiei Zadeh

2023

IJPCC

View full text Add to dashboard Cite

show abstract

“…Bu yazımlardaki kufi, divani, sülüs, nesih, rika gibi farklı türlerinin ortaya çıkışı; kalemin tutuluşu, döndürülüşü, buna bağlı olarak hattın tam kalemi kağıda yaslayışı ile ortaya çıkan harf veya harf gruplarının bir araya gelmesi ile olur. Yazıların yan yana yazılma zorunluluğu olmaması sebebiyle harfler iç içe yerleştirilerek sarmal yapılarda da yazılabilir olduğundan hat sanatı eserlerinin işlenmesi daha karmaşık hale gelmektedir (Salamah 2018)…”

Section: Hat Sanatı Eserlerinin Bilgisayar Temelli İşlenmesiunclassified

“…Örneğin latin harfleri çizgi ve kavislerden oluşarak basit yapıda şekillenirken, Uzak Doğu dillerinden Çince ve Japonca'da 5,000'den fazla farklı ve karmaşık şekilli harf vardır. Ortadoğu dillerinden Arapça ise harflerin kendi ve bağlanış şekilleri sebebiyle işlenmesi diğer dillere göre çok daha zor olarak belirtilmiştir (Salamah 2018).…”

Section: şEkil 1 Yazı İçeren Görüntü çEşitleriunclassified

“…Bu sebeple yazılar aşağıdan yukarı, yukarıdan aşağı, sarmal yapıda olabilir. Bunun yanında normalde sesli harfler olarak kullanılan hareke denen şekiller ve yine harflere ait noktalar süsleme amacı ile de kullanılır bu da harekelerin hangi harfe ait olduğu karmaşasını ortaya çıkartmaktadır (Salamah 2018, Kaoudja 2021. Aşağıda "Bismillahirrahmanirim" cümlesinin birçok farklı türde farklı kompozisyonlarının örnekleri görülmektedir.…”

Section: Hat Sanatı İşlenmesinde Zorluklarunclassified

See 1 more Smart Citation

Arabic Calligraphy Images Analysis With Using Artificial Intelligence Methods

Zeynep GÜRER,

GÖKBAY

2023

SOBIDER

View full text Add to dashboard Cite

Arap yazısına bağlı olarak doğan güzel yazma sanatı Hat Sanatı Türk-İslam sanatı ve medeniyeti hakkında birçok bilgi içermektedir. Bu eserlerdeki mesajların anlaşılması yerli halkın kendi tarihini anlaması açısından önemlidir. Bunun yanında turistlerin yoğun ilgi gösterdiği tarihi mekanlar da bu eserler ile donatılmıştır. Bu eserlerdeki yazılar ile gezilen mekanların önemi bilgileri daha iyi anlaşılacaktır. Son zamanlarda yapıların özellikle camilerin girişlerinde yapı içerisindeki hat eserlerinin anlamlarının yazılı olduğu levhaların yerleştirilmeye başlanması bu eserlerin anlaşılmaya olan ihtiyacını göstermektedir. Türkiye'de ve Dünya'daki milyonlarca eserin anlamlandırılması manuel bir işlemle çok zordur. Bu sebeple bu işlemin otomatikleştirilmesi adına bu çalışmada başlangıç adımı atılmıştır. Hat metinlerinin karmaşık görüntüden yazıya çevrilmesindeki aşamalardan olan yazıların stillerinin belirlenmesi ve yazıdaki harflerin tanınması problemleri Yapay Zeka algoritmaları ile incelenmiştir.

show abstract

“…The literature contains few attempts in exploiting or developing machine learning-based models for Arabic calligraphy [12] introduce the Auto encoder as a deep learning method used to recognizing Arabic calligraphy types, The Auto encoder has ability of reducing data dimensions in and extract features. In the work of [13], the authors have prepared a dataset of Arabic calligraphic letters along with a corresponding corpus of phrases and quotes. The letters dataset contains 3,457 images for a totally of 32 various categories of Arabic calligraphic type letters.…”

Section: Literature Surveymentioning

confidence: 99%

Fast learning neural network based on texture for Arabic calligraphy identification

Hussein

2021

IJEECS

View full text Add to dashboard Cite

<span id="docs-internal-guid-5c723154-7fff-a7b2-3582-b7c2920a9921"><span>Arabic calligraphy is considered a sort of Arabic writing art where letters in Arabic can be written in various curvy or segments styles. The efforts of automating the identification of Arabic calligraphy by using artificial intelligence were less comparing with other languages. Hence, this article proposes using four types of features and a single hidden layer neural network for training on Arabic calligraphy and predicting the type of calligraphy that is used. For neural networks, we compared the case of non-connected input and output layers in extreme learning machine ELM and the case of connected input-output layers in FLN. The prediction accuracy of fast learning machine FLN was superior comparing ELM that showed a variation in the obtained accuracy. </span></span>

show abstract

Towards the Machine Reading of Arabic Calligraphy: A Letters Dataset and Corresponding Corpus of Text

Cited by 6 publications

References 6 publications

Artificial Intelligence and Modern Information Technologies Applications in Islamic Sciences: A Survey

Artificial Intelligence and Modern Information Technologies Applications in Islamic Sciences: A Survey

Arabic Calligraphy Images Analysis With Using Artificial Intelligence Methods

Fast learning neural network based on texture for Arabic calligraphy identification

Contact Info

Product

Resources

About