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Efficient adaptive thresholding algorithm for in-homogeneous document background removal

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Abstract

Image binarization refers to convert gray-level images into binary ones, and many binarization algorithms have been developed. The related algorithms can be classified as either high quality computation or high speed performance. This paper presents an algorithm that ensures both benefits at the same time. The proposed algorithm intelligently segments input images into several different sized sub-images by using a Sobel like matrix. After which each sub-image will be classified into background set or foreground set according to it’s feature. Finally the foreground set sub-images will be binarized by Otsu’s method independently. Experimental results reveal that our algorithm provides the appropriate quality with the medium speed.

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Authors and Affiliations

  1. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan

    Chia-Shao Hung & Shanq-Jang Ruan

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  1. Chia-Shao Hung
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  2. Shanq-Jang Ruan
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Correspondence to Shanq-Jang Ruan.

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Hung, CS., Ruan, SJ. Efficient adaptive thresholding algorithm for in-homogeneous document background removal. Multimed Tools Appl 75, 1243–1259 (2016). https://doi.org/10.1007/s11042-014-2366-7

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  • DOI: https://doi.org/10.1007/s11042-014-2366-7

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