Automatic segmentation and reconstruction of historical manuscripts in gradient domain

Baig, Asim, Al-Maadeed, Somaya, Bouridane, Ahmed and Cheriet, Mohamed (2018) Automatic segmentation and reconstruction of historical manuscripts in gradient domain. IET Image Processing, 12 (4). pp. 502-512. ISSN 1751-9659

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Separating content from noise in historical manuscripts is a fundamental task in digital palaeography. This study presents a fully automated segmentation approach based on the response of Harris corner detectors. The strength and clustering efficiency of the detected corners in the manuscripts are evaluated and used to segment the content from the background and noise. In addition, a manuscript reconstruction technique is proposed from the gradient field using the Poisson method to guide the interpolation. This reconstruction is able to remove noise significantly and hence enhances the contrast of the content thus making it easier for users to read and process these documents. The proposed approaches are evaluated using various standard databases to highlight their effectiveness and robustness to a multitude of noise and writing styles. Subjective and objective evaluations of the experimental results show that these techniques are able to successfully segment and reconstruct a very diverse set of scanned documents. An analysis of the results has also shown that the proposed technique compares favourably against similar counterparts.

Item Type: Article
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 06 Mar 2019 16:04
Last Modified: 08 Sep 2020 15:27

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