Heuristic and supervised approaches to handwritten annotation extraction for musical score images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences
Link
http://link.springer.com/content/pdf/10.1007/s00799-018-0249-7.pdf
Reference21 articles.
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2. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002)
3. Dalitz, C., Droettboom, M., Pranzas, B., Fujinaga, I.: A comparative study of staff removal algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 30(5), 735–766 (2008)
4. Fan, K.C., Wang, L.S., Tu, Y.T.: Classification of machine-printed and handwritten texts using character block layout variance. Pattern Recognit. 31(9), 1275–1284 (1998)
5. Farooq, F., Sridharan, K., Govindaraju, V.: Identifying handwritten text in mixed documents. In: 18th International Conference on Pattern Recognition (ICPR’06), vol. 2, pp. 1142–1145 (2006). https://doi.org/10.1109/ICPR.2006.676
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