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Journals / Acta Infologica / 2026 / Volume: 7 Issue: 2

Converting Image Files to LaTeX Format Using Computer Vision, Natural Language Processing, and Machine Learning

Resim Formatındaki Dokümanların Bilgisayarlı Görü, Doğal Dil İşleme ve Makine Öğrenmesi Kullanılarak Latex Formatına Dönüştürülmesi

Murat Kazanç(Istanbul University-Cerrahpasa, Department of Computer Engineering)0000-0002-8405-0181
Tolga Ensari(Arkansas Tech University, College of Engineering&Applied Science, Department of Computer and Information Science)0000-0003-0896-3058
Mustafa Dağtekin(Istanbul University-Cerrahpasa, Department of Computer Engineering)0000-0002-0797-9392
Pages
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Publication Date
2023-12-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The final stage of the study produces a LaTeX code using the obtained information.

📌 3 Key Takeaways

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Objective & Hypothesis:A few decades ago, people used printed resources such as books and magazines to learn.
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Key Findings & Data:With the development of technology, digital documents have replaced printed resources.
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Conclusion & Impact:The final stage of the study produces a LaTeX code using the obtained information.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Computer vision · text classification · reading order

Abstract

A few decades ago, people used printed resources such as books and magazines to learn. With the development of technology, digital documents have replaced printed resources. These documents can occur in the form of images or various text formats. Many different applications exist for preparing digital documents, one of these being LaTeX. LaTeX is a document preparation system and typesetting software that is used especially in the field of scientific publications and mathematics for preparing high quality documents. When preparing a document using LaTeX, the content is made ready using a markup language, which creates difficulties for some users. However, one of the main advantages of using the LaTeX system is that it distinguishes the document’s content from its formatting. Once the content is created, the formatting can be easily replaced. Generating LaTeX code from an image-formatted document requires both the use of computer vision and NLP. This study discovers the boundaries (blocks) of the places where text, tables, and figures are located on an image before making a text classification using the natural language processing methods of these blocks. The next stage of the study determines the reading order to enable meaningful flow. The final stage of the study produces a LaTeX code using the obtained information.

Özet

Birkaç on yıl önce insanlar bilgi edinmek için kitap ve dergi gibi basılı kaynakları kullanmaktaydılar. Teknolojinin gelişmesi ile basılı kaynakların yerini dijital dokümanlar almıştır. Bu dokümanlar görüntü biçiminde veya farklı metin formatları şeklinde olabilmektedir. Dijital dokümanları hazırlamak için birçok farklı uygulama bulunmaktadır. Bunlardan bir tanesi LaTex’ tir. LaTex doküman hazırlama sistemi ve dizgi yazılımıdır. Yüksek kalitede dokümanlar hazırlamak için özellikle bilimsel yayınlar ve matematik alanında kullanılmaktadır. LaTex ile doküman hazırlanırken içerik bir işaretleme dili kullanılarak hazırlanılmaktadır. Bu durum bazı kullanıcılar için bir zorluk oluşturmaktadır. Ancak LaTex sistemini kullanmanın ana avantajlarından biri doküman içeriğini biçimlendirmeden ayırmasıdır. Bir kere içerik oluşturulduktan sonra biçimlendirme kolaylıkla değiştirilebilmektedir. Görüntü formatındaki bir dokümandan LaTex kodunun üretilmesi bilgisayarlı görü ve doğal dil işleme alanlarının birlikte kullanılmasını gerektirmektedir. Bu çalışmada öncelikle görüntü üzerinde metin, tablo ve şekillerin bulunduğu yerlerin sınırları (bloklar) tespit edilmiştir. Sonrasında bulunan bu blokların doğal dil işleme metotları kullanılarak metin sınıflama yapılmıştır. Bir sonraki aşamada anlam akışının bozulmaması için okuma sırası tespit edilmiştir. Son aşamada elde edilen bilgiler kullanılarak LaTex kodu üretilmiştir.

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Cite This Article

Kazanç, M., Ensari, T., Dağtekin, M. (2023). Converting Image Files to LaTeX Format Using Computer Vision, Natural Language Processing, and Machine Learning. Acta Infologica, Volume: 7 Issue: 2. https://doi.org/10.26650/acin.1258719

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