Unsupervised Document Binarization of Engineering Drawings via Multi Noise CycleGAN

• 主要な著者: Rosli, L.H., Hooi, Y.K., Bin, O.K.
• フォーマット: 論文
• 出版事項: 2023
• オンライン･アクセス: http://scholars.utp.edu.my/id/eprint/37611/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168803705&doi=10.14569%2fIJACSA.2023.0140791&partnerID=40&md5=af01ea6cb9d491b43f810d3933911448

The task of document binarization of degraded complex documents is tremendously challenging due to the various forms of noise often present in these documents. While the current state-of-the-art deep learning approaches are capable for the removal of various noise types in documents with high accura...