Adaptive Binarization of Metal Nameplate Images Using the Pixel Voting Approach
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22025-8_10
Reference20 articles.
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4. Jia, F., Shi, C., He, K., Wang, C., Xiao, B.: Document image binarization using structural symmetry of strokes. In: 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 411–416. IEEE, Shenzhen, China (2016)
5. Khurshid, K., Siddiqi, I., Faure, C., Vincent, N.: Comparison of Niblack inspired binarization methods for ancient documents. In: Berkner, K., Likforman-Sulem, L. (eds.) Document Recognition and Retrieval XVI, p. 72470U. San Jose, CA (2009)
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