کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532120 869910 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Virtual unrolling and information recovery from scanned scrolled historical documents
ترجمه فارسی عنوان
ریکاوری مجدد و بازیابی اطلاعات از اسکن شده اسناد تاریخی
کلمات کلیدی
بازسازی پوست باز کردن دیجیتال، پردازش سند، بازیابی متن اسکن حجمی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• A pioneering attempt to automate virtual reading of a real historical parchment.
• The presented framework does not require user interaction.
• We propose a flexible framework which is controlled by several parameters.
• Our model is able to reveal a scrolled parchment's content if its ink contains enough iron.
• We demonstrate performance of the framework with five different real scrolls.

The objective of our work is to enable the reading of fragile scrolled historical parchments without the need to physically unravel them, thus providing valuable information to a wide range of scholarly disciplines. This problem has not been investigated by the computer vision community properly yet due to the need for parchment scanning technology: standard X-ray equipment is not sufficient as there is a requirement to extract out parchment ink in addition to the parchment's underlying structure. Effective data recovery is also compromised as content from historical scrolled documents is inaccessible due to the deterioration of the parchment. We create a 3D volumetric model of a scrolled parchment's underlying geometry and perform digital unwrapping of the parchment, producing a readable image of the text as an output. The proposed recovery framework consists of structure preserving anisotropic filtering in combination with robust segmentation, surface modelling and ink projection. We demonstrate with real examples how our algorithm is able to recover the underlying text and to solve the major challenge for scrolled parchment analysis, namely segmentation of connected layers and processing the data without user interaction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 47, Issue 1, January 2014, Pages 248–259
نویسندگان
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