An Online Handwritten Numerals Segmentation Algorithm Based on Spectral Clustering-Reference-Cited by-同舟云学术

An Online Handwritten Numerals Segmentation Algorithm Based on Spectral Clustering

Published:2018 Issue: Volume: Page:506-516
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Shao Renrong,Chen Cheng,Guo Jun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04221-9_45

Reference21 articles.

1. Chen, C., Guo, J.: A general approach for handwritten digits segmentation using spectral clustering. In: International Conference on Document Analysis and Recognition (IAPR), pp. 547–552 (2018)

2. Chen, Y.K., Wang, J.F.: Segmentation of single or multiple-touching handwritten numeral string using background and foreground analysis. IEEE Pattern Anal. 1, 1304–1317 (2000)

3. Congedo, G., Dimauro, G., Impedovo, S., Pirlo, G.: Segmentation of numeric strings. In: International Conference on Document Analysis and Recognition, vol. 2, pp. 1038–1041 (1995)

4. Corr, P.J., Silvestre, G.C., Bleakley, C.J.: Open source dataset and deep learning models for online digit gesture recognition on touchscreens. In: Irish Machine Vision and Image Processing Conference (IMVIP) (2017)

5. Diem, M., Fiel, S., Garz, A., Keglevic, M., Kleber, F., Sablatnig, R.: ICDAR 2013 competition on handwritten digit recognition (HDRC 2013). In: International Conference on Document Analysis and Recognition, pp. 1422–1427 (2013)

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