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An Alternative Deep Feature Approach to Line Level Keyword Spotting., , , , and . CVPR, page 12658-12666. Computer Vision Foundation / IEEE, (2019)Historical Typewritten Document Recognition Using Minimal User Interaction., , , , and . HIP@ICDAR, page 31-38. ACM, (2015)relocated from Gammarth, Tunisia.Compact Deep Descriptors for Keyword Spotting., , , , and . ICFHR, page 315-320. IEEE Computer Society, (2018)Segmentation of Historical Handwritten Documents into Text Zones and Text Lines., , and . ICFHR, page 464-469. IEEE Computer Society, (2014)Automatic unsupervised parameter selection for character segmentation., , , and . Document Analysis Systems, page 409-416. ACM, (2010)Keyword Spotting in Handwritten Documents Using Projections of Oriented Gradients., , , and . DAS, page 411-416. IEEE Computer Society, (2016)Isolated character recognition using projections of oriented gradients., , , and . ICDAR, page 336-340. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.ICDAR 2013 Document Image Skew Estimation Contest (DISEC 2013)., , , and . ICDAR, page 1444-1448. IEEE Computer Society, (2013)ICDAR 2013 Handwriting Segmentation Contest., , , , and . ICDAR, page 1402-1406. IEEE Computer Society, (2013)A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques., , and . ICDAR, page 686-690. IEEE Computer Society, (2009)