Extraction of Information Fields in Administrative Documents Using Constellations of Special Text Points
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33159-6_3
Reference21 articles.
1. Rusiñol, M., Frinken, V., Karatzas, D., Bagdanov, A.D., Lladós, J.: Multimodal page classification inadministrative document image streams. IJDAR 17(4), 331–341. https://doi.org/10.1007/s10032-014-0225-8 (2014)
2. Hjouji, A., EL-Mekkaoui, J., Jourhmane, M.: Image classification by mixed finite element method and orthogonal legendre moments. Pattern Recognit. Image Anal. 30, 655–673. https://doi.org/10.1134/S1054661820040185 (2020)
3. Karkishchenko, A.N., Mnukhin, V.B.: On the metric on images invariant with respect to the monotonic brightness transformation. Pattern Recognit. Image Anal. 30, 359–371 (2020). https://doi.org/10.1134/S1054661820030104
4. Slavin, O.A.: Using Special Text Points in the Recognition of Documents. Studies in Systems, Decision and Control. Springer Nature Switzerland AG., Vol. 259, pp. 43–53. https://doi.org/10.1007/978-3-030-32579-4_4 (2020)
5. Andreeva, E., Arlazarov, V.V., Slavin, O., Mishev, A.: Comparison of scanned administrative document images. Proceedings of SPIE, Vol. 11433: Twelfth International Conference on Machine Vision, ICMV 2019 (Amsterdam, Netherlands, pp. 16–18 November 2019). Art. ID: 114333A, pp. 1–8. https://doi.org/10.1117/12.2559369 (2020)
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