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In this paper, we present our winning algorithm in ICFHR 2018 <jats:italic>competition on handwritten document image binarization<\/jats:italic> (H-DIBCO 2018), which is based on background estimation and energy minimization. First, we adopt mathematical morphological operations to estimate and compensate the document background. It uses a disk-shaped structuring element, whose radius is computed by the minimum entropy-based <jats:italic>stroke width transform<\/jats:italic> (SWT). Second, we perform Laplacian energy-based segmentation on the compensated document images. Finally, we implement post-processing to preserve text stroke connectivity and eliminate isolated noise. Experimental results indicate that the proposed method outperforms other state-of-the-art techniques on several public available benchmark datasets.<\/jats:p>","DOI":"10.1186\/s13640-021-00556-4","type":"journal-article","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T12:03:21Z","timestamp":1620648201000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["An enhanced binarization framework for degraded historical document images"],"prefix":"10.1186","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3322-8955","authenticated-orcid":false,"given":"Wei","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lirong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,10]]},"reference":[{"key":"556_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patcog.2016.10.023","volume":"64","author":"S Eskenazi","year":"2017","unstructured":"S. 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