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Image analysis for dating of old manuscripts

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

Abstract

This paper presents an application of digital image processing to historical sciences. A major tool for dating old undated documents are watermarks found in the paper. Hardcopies of the watermarks are scanned, preprocessed, improved and contrast enhanced by adaptive digital filtering methods for printing, storing in an image database, and extracting the watermark as a set of strokes from the image. For extraction, a semiautomatical procedure is suggested. The extraction result is a short sequence of cubic spline curves representing the watermark fully and allowing to select identical or similar watermarks from the existing database.

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References

  1. Yaroslavsky, L. P.: Linear and Rank Adaptive Filters for Picture Processing. In: E. Wenger, L. Dimitrov (eds.): Digital Image Processing and Computer Graphics. Wien: Oldenbourg 1991, pp. 327–372

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  2. Pratt, W. K.: Digital Image Processing. John Wiley & Sons, New York, 2nd edition, 1991

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Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Wenger, E., Karnaukhov, V.N., Haidinger, A., Merzlyakov, N.S. (1995). Image analysis for dating of old manuscripts. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_155

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  • DOI: https://doi.org/10.1007/3-540-60697-1_155

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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