A Binarization Approach for Ukiyo-e Rakkan Extraction
نویسندگان
چکیده
Rakkan is a Japanese word for the signature and/or seal of the artist for a completed painting. In this paper, we present a binarization scheme for ukiyo-e Rakkan extraction. The Rakkan characters are extracted based on both lightness and color information in L∗a∗b∗ color space using k-means clustering. Different thresholding and noise removal methods are applied to different types of Rakkan images according to the extraction results. This approach can be adopted to the ukiyo-e authorship identification system for ukiyo-e study and archiving. Keywords-binarization; historical documents; character extraction; digital archives
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