Text Extraction and Script Completion in Images of Arabic Script-Based Calligraphy: A Thesis Proposal
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2025, New Mexico, Amerika Birleşik Devletleri, 29 Nisan - 04 Mayıs 2025, cilt.4, ss.253-259, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 4
- Doi Numarası: 10.18653/v1/2025.naacl-srw.25
- Basıldığı Şehir: New Mexico
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.253-259
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Arabic calligraphy carries rich historical information and meaning. However, the complexity of its artistic elements and the absence of a consistent baseline make text extraction from such works highly challenging. In this paper, we provide an in-depth analysis of the unique obstacles in processing and interpreting these images, including the variability in calligraphic styles, the influence of artistic distortions, and the challenges posed by missing or damaged text elements. We explore potential solutions by leveraging state-of-the-art architectures and deep learning models, including visual language models, to improve text extraction and script completion.