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Inspired by the classic Sauvola local image thresholding approach, we systematically study it from the deep neural network (DNN) perspective and propose a new solution called SauvolaNet for degraded document binarization (DDB).
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9
1979
Earlier work this paper cites.
Sauvola, J., Pietikäinen, M.: Adaptive document image binarization. Pattern Recognit. 33
2000
Earlier work this paper cites.
Shafait, F., Keysers, D., Breuel, T.M.: Efficient implementation of local adaptive thresholding techniques using integral images. In: Document recognition and retrieval XV. vol. 6815, p. 681510. Int. Society for Optics and Photonics (2008)
2008
Earlier work this paper cites.
Gatos, B., Ntirogiannis, K., Pratikakis, I.: ICDAR 2009 document image binarization contest (DIBCO 2009). In: Int. Conf. on document Anal. and Recognit. pp. 1375–1382. IEEE (2009)
2009
Earlier work this paper cites.
Deng, F., Wu, Z., Lu, Z., Brown, M.S.: Binarizationshop: a user-assisted software suite for converting old documents to black-and-white. In: Proceedings of the 10th annual joint Conf. on Digital libraries. pp. 255–258 (2010)
2010
Earlier work this paper cites.
Moghaddam, R.F., Cheriet, M.: A multi-scale framework for adaptive binarization of degraded document images. Pattern Recognit. 43
2010
Earlier work this paper cites.
Pai, Y.T., Chang, Y.F., Ruan, S.J.: Adaptive thresholding algorithm: Efficient computation technique based on intelligent block detection for degraded document images. Pattern Recognit. 43
2010
Earlier work this paper cites.
Pratikakis, I., Gatos, B., Ntirogiannis, K.: H-DIBCO 2010-handwritten document image binarization competition. In: Int. Conf. on Frontiers in Handwriting Recognit. pp. 727–732. IEEE (2010)
2010
Earlier work this paper cites.
Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICDAR 2011 document image binarization contest (DIBCO 2011). In: Int. Conf. on Document Anal. and Recognit. pp. 1506–1510 (2011)
2011
Earlier work this paper cites.
Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICFHR 2012 competition on handwritten document image binarization (H-DIBCO 2012). In: Int. Conf. on frontiers in handwriting Recognit. pp. 817–822. IEEE (2012)
2012
Earlier work this paper cites.
Su, B., Lu, S., Tan, C.L.: Robust document image binarization technique for degraded document images. IEEE Trans. Image Process. 22
2012
Earlier work this paper cites.
Cheriet, M., Moghaddam, R.F., Hedjam, R.: A learning framework for the optimization and automation of document binarization methods. Comput. Vis. Image Underst. 117
2013
Earlier work this paper cites.
Howe, N.R.: Document binarization with automatic parameter tuning. Int. J. Doc. Anal. Recognit. 16
2013
Cited alongside, same era.
Nafchi, H.Z., Ayatollahi, S.M., Moghaddam, R.F., Cheriet, M.: An efficient ground truthing tool for binarization of historical manuscripts. In: Int. Conf. on Document Anal. and Recognit. pp. 807–811. IEEE (2013)
2013
Cited alongside, same era.
Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICDAR 2013 document image binarization contest (DIBCO 2013). In: Int. Conf. on Document Anal. and Recognit. pp. 1471–1476. IEEE (2013)
2013
Cited alongside, same era.
Lazzara, G., Géraud, T.: Efficient multiscale sauvola’s binarization. Int. J. Doc. Anal. Recognit. 17
2014
Cited alongside, same era.
Ntirogiannis, K., Gatos, B., Pratikakis, I.: ICFHR2014 competition on handwritten document image binarization (H-DIBCO 2014). In: Int. Conf. on frontiers in handwriting Recognit. pp. 809–813. IEEE (2014)
Pratikakis, I., Zagoris, K., Barlas, G., Gatos, B.: ICDAR2017 competition on document image binarization (DIBCO 2017). In: Int. Conf. on Document Anal. and Recognit. vol. 1, pp. 1395–1403. IEEE (2017)
2017
Later among the works it cites.
Pratikakis, I., Zagori, K., Kaddas, P., Gatos, B.: ICFHR 2018 competition on handwritten document image binarization (H-DIBCO 2018). In: Int. Conf. on Frontiers in Handwriting Recognit. pp. 489–493 (2018)
2018
Later among the works it cites.
Vo, Q.N., Kim, S.H., Yang, H.J., Lee, G.: Binarization of degraded document images based on hierarchical deep supervised network. Pattern Recognit. 74
2018
Later among the works it cites.
Calvo-Zaragoza, J., Gallego, A.J.: A selectional auto-encoder approach for document image binarization. Pattern Recognit. 86
2019
Later among the works it cites.
He, S., Schomaker, L.: Deepotsu: Document enhancement and binarization using iterative deep learning. Pattern Recognit. 91
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2014
Cited alongside, same era.
Afzal, M.Z., Pastor-Pellicer, J., Shafait, F., Breuel, T.M., Dengel, A., Liwicki, M.: Document image binarization using lstm: A sequence learning approach. In: Int. workshop on historical document Imag. and Process. pp. 79–84 (2015)
2015
Cited alongside, same era.
Hedjam, R., Nafchi, H.Z., Moghaddam, R.F., Kalacska, M., Cheriet, M.: ICDAR 2015 contest on multispectral text extraction (ms-tex 2015). In: Int. Conf. on Document Anal. and Recognit. pp. 1181–1185. IEEE (2015)
2015
Cited alongside, same era.
Hadjadj, Z., Meziane, A., Cherfa, Y., Cheriet, M., Setitra, I.: Isauvola: Improved sauvola’s algorithm for document image binarization. In: Int. Conf. on Image Anal. and Recognit. pp. 737–745. Springer (2016)
2016
Cited alongside, same era.
Pratikakis, I., Zagoris, K., Barlas, G., Gatos, B.: ICFHR2016 handwritten document image binarization contest (H-DIBCO 2016). In: Int. Conf. on Frontiers in Handwriting Recognit. pp. 619–623. IEEE (2016)
2016
Cited alongside, same era.
Wu, Y., Natarajan, P., Rawls, S., AbdAlmageed, W.: Learning document image binarization from data. In: Int. Conf. on Image Process. pp. 3763–3767 (2016)
2016
Cited alongside, same era.
2017
Cited alongside, same era.
2019
Later among the works it cites.
Peng, X., Wang, C., Cao, H.: Document binarization via multi-resolutional attention model with drd loss. In: Int. Conf. on Document Anal. and Recognit. pp. 45–50. IEEE (2019)
2019
Later among the works it cites.
Pratikakis, I., Zagoris, K., Karagiannis, X., Tsochatzidis, L., Mondal, T., Marthot-Santaniello, I.: Icdar 2019 competition on document image binarization (dibco 2019). In: Int. Conf. on Document Anal. and Recognit. pp. 1547–1556 (2019)
2019
Later among the works it cites.
Zhao, J., Shi, C., Jia, F., Wang, Y., Xiao, B.: Document image binarization with cascaded generators of conditional generative adversarial networks. Pattern Recognit. 96
2019
Later among the works it cites.
De, R., Chakraborty, A., Sarkar, R.: Document image binarization using dual discriminator generative adversarial networks. IEEE Signal Process. Lett. 27
2020
Later among the works it cites.
Kaur, A., Rani, U., Josan, G.S.: Modified sauvola binarization for degraded document images. Eng. Appl. Artif. Intell. 92
2020
Later among the works it cites.
Souibgui, M.A., Kessentini, Y.: De-gan: A conditional generative adversarial network for document enhancement. IEEE Trans. Pattern Anal. Mach. Intell. (2020)
2020
Later among the works it cites.