A Method for Extracting Text from Stone Inscriptions Using Character Spotting

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• 作者：Shashaank M. Aswatha (15)
  Ananth Nath Talla (15)
  Jayanta Mukhopadhyay (15)
  Partha Bhowmick (15)
  
  15. Indian Institute of Technology Kharagpur ; Kharagpur ; India
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9009
• 期：1
• 页码：598-611
• 全文大小：6,021 KB
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  3. Barmpoutis, A, Bozia, E, Wagman, R (2010) A novel framework for 3d reconstruction and analysis of ancient inscriptions. Mach. Vis. Appl. 21: pp. 989-998 CrossRef
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  8. Papaodysseus, C., Rousopoulos, P., Arabadjis, D., Panopoulou, F., Panagopoulos, M.: Handwriting automatic classification: application to ancient greek inscriptions. In: International Conference on Autonomous and Intelligent Systems, pp. 1鈥? (2010)
  9. Papaodysseus, C, Rousopoulos, P, Giannopoulos, F, Zannos, S, Arabadjis, D, Panagopoulos, M, Kalfa, E, Blackwell, C, Tracy, S (2014) Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach. Comput. Vis. Image Underst. 121: pp. 57-73 CrossRef
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  15. OpenCVDocumentation: (OpenCV documentation). http://docs.opencv.org/modulesimgprocdocobject_detection.html. Accessed 10 Nov 2013
  
• 作者单位：Computer Vision - ACCV 2014 Workshops
• 丛书名：978-3-319-16630-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

A novel interactive technique for extraction of text characters from the images of stone inscriptions is introduced in this paper. It is designed particularly for on-site processing of inscription images acquired at various historic palaces, monuments, and temples. Its underlying principle is made of several robust character-analytic elements like HoG features, vowel diacritics, and location-bounded scan lines. Since the process involves character spotting and extraction of the inscribed information to editable text, it would subsequently help the archaeologists for epigraphy, transliteration, and translation of rock inscriptions, particularly for the ones having high degradations, noise, and a variety of styles according to the mason origin and reign. The spotted characters can also be used to create a database for ancient script analysis and related archaeological work. We have tested our method on various stone inscriptions collected from some of the heritage sites of Karnataka, India, and the results are quite promising. An Android application of the proposed work is also developed to aid the epigraphers in the study of inscriptions using a tablet or a mobile phone.