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Texture feature benchmarking and evaluation for historical document image analysis.

, , , and . Int. J. Document Anal. Recognit., 20 (1): 1-35 (2017)

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ICDAR2019 Competition on Historical Book Analysis - HBA2019., , , , , and . ICDAR, page 1488-1493. IEEE, (2019)Extraction of Homogeneous Regions in Historical Document Images., , , , , and . VISAPP (3), page 47-54. SciTePress, (2015)"Étude comparative de trois ensembles de descripteurs de texture pour la segmentation de documents anciens"., , , , , and . CORIA-CIFED, page 41-56. ARIA-GRCE, (2014)Hyperkernel-based intuitionistic fuzzy c-means for denoising color archival document images., , and . Int. J. Document Anal. Recognit., 23 (3): 161-181 (2020)Text Line Segmentation in Historical Document Images Using an Adaptive U-Net Architecture., , , and . ICDAR, page 369-374. IEEE, (2019)Historical Document Image Segmentation Combining Deep Learning and Gabor Features., , and . ICDAR (4), volume 14190 of Lecture Notes in Computer Science, page 395-410. Springer, (2023)A Comparative Study of Two State-of-the-Art Feature Selection Algorithms for Texture-Based Pixel-Labeling Task of Ancient Documents., , , , , and . J. Imaging, 4 (8): 97 (2018)Use of SLIC superpixels for ancient document image enhancement and segmentation., , , , , and . DRR, volume 9402 of SPIE Proceedings, page 940205. SPIE, (2015)A two-step framework for text line segmentation in historical Arabic and Latin document images., , , and . Int. J. Document Anal. Recognit., 24 (3): 197-218 (2021)Performance Benchmarking of YOLO Architectures for Vehicle License Plate Detection from Real-time Videos Captured by a Mobile Robot., , , and . VISIGRAPP (5: VISAPP), page 661-668. SCITEPRESS, (2021)