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Novel Binarization Method for Enhancing Ancient and Historical Manuscript Images

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Human-Inspired Computing and Its Applications (MICAI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8856))

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Abstract

Ancient documents are often subject to background damage. Examples of background damage containing various quality are uneven background, ink bleed, or ink bleed and expansion of spots. Image processing provides a variety of approaches for dealing with this deterioration in the quality of manuscripts to make them readable. Unlike DIBCO dataset, Jawi- Malay manuscripts are among the ancient manuscripts that have undergone varying degrees of complex damage and distortions. State of the art methods unable to improve their image and readability. To deal with these challenges, this paper proposes a new adaptive binarization method which consists of several steps beginning with global enhancement and local adaptive thresholding, and ending with postprocessing. For the purpose of evaluation, the method was compared with state of the art methods using the Relative Foreground Area Error (RAE) measurement and the ANOVA analysis of variance tool. The results showed that the proposed method gave the smallest RAE with differ significantly with respect to RAE value compared with other methods, which means that it produced better image results and readability.

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Author information

Authors and Affiliations

  1. Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia

    Saad M. Ismail & Siti Norul Huda Sheikh Abdullah

Authors
  1. Saad M. Ismail
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  2. Siti Norul Huda Sheikh Abdullah
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Editor information

Editors and Affiliations

  1. Centro de Investigación en Computación, Instituto Politécnico Nacional, Av. Juan Dios Bátiz s/n, Col. Nueva Industrial Vallejo, 07738, Mexico City, Mexico

    Alexander Gelbukh

  2. Área Académica de Computación y Electrónica, Carretera Pachuca-Tulancingo, Universidad Autónoma del Estado de Hidalgo, Km. 4.5, Col. Carboneras, Mineral de la Reforma, 42180, Hidalgo, Mexico

    Félix Castro Espinoza

  3. Facultad de ciencias, Universidad Autónoma Nacional de México, Ciudad Universitaria, México DF, Mexico

    Sofía N. Galicia-Haro

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Ismail, S.M., Sheikh Abdullah, S.N.H. (2014). Novel Binarization Method for Enhancing Ancient and Historical Manuscript Images. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_36

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  • DOI: https://doi.org/10.1007/978-3-319-13647-9_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13646-2

  • Online ISBN: 978-3-319-13647-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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