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A Pixel Labeling Framework for Comparing Texture Features Application to Digitized Ancient Books.

, , , , и . ICPRAM, стр. 553-560. SciTePress, (2014)

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Rémy Gassilloud

Rémy Frenoy

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A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation., , , и . PRIS, стр. 31-37. ICEIS Press, (2003)Évaluation de la robustesse des descripteurs de texture pour la segmentation des images de documents anciens., , , , , , и . CORIA-CIFED, стр. 25-40. ARIA-GRCE, (2014)Texture feature benchmarking and evaluation for historical document image analysis., , , и . Int. J. Document Anal. Recognit., 20 (1): 1-35 (2017)A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents., , , , , и . J. Imaging, 4 (8): 97 (2018)Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform., , , , , и . SSPR/SPR, том 1876 из Lecture Notes in Computer Science, стр. 472-481. Springer, (2000)Combination of Invariant Pattern Recognition Primitives on Technical Documents., , , , , и . GREC, том 1941 из Lecture Notes in Computer Science, стр. 238-245. Springer, (1999)Topographic Maps Automatic Interpretation: Some Proposed Strategies., , , и . GREC, том 1389 из Lecture Notes in Computer Science, стр. 175-193. Springer, (1997)Arabic and Latin Script Identification in Printed and Handwritten Types Based on Steerable Pyramid Features., , , и . ICDAR, стр. 591-595. IEEE Computer Society, (2009)A New Minimum Trees-Based Approach for Shape Matching with Improved Time Computing: Application to Graphical Symbols Recognition., , , и . GREC, том 6020 из Lecture Notes in Computer Science, стр. 150-162. Springer, (2009)Use of SLIC superpixels for ancient document image enhancement and segmentation., , , , , и . DRR, том 9402 из SPIE Proceedings, стр. 940205. SPIE, (2015)