KHATT
PulseAugur coverage of KHATT — every cluster mentioning KHATT across labs, papers, and developer communities, ranked by signal.
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New dataset and pipeline advance Arabic manuscript OCR research
Researchers have introduced AraMS-28k, a large-scale dataset for historical Arabic manuscript recognition, featuring 28,600 annotated text lines across 14 books. This dataset includes detailed annotations for main text …
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HTR systems show persistent performance gap for Arabic vs. Latin scripts
A new study published on arXiv analyzes the performance gap between handwritten text recognition (HTR) systems for Latin and Arabic scripts. Researchers used a unified Convolutional Recurrent Neural Network (CRNN) model…
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New framework boosts Arabic HTR dataset quality with AI and human review
Researchers have developed a novel two-stage framework, CER-HV, designed to improve the quality of datasets used for training Handwritten Text Recognition (HTR) models, particularly for Arabic-script languages. The fram…
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Cross-language HTR models improve low-resource performance via sequence modeling
Researchers have investigated how cross-language transfer learning improves Handwritten Text Recognition (HTR) for low-resource Arabic-script languages. Their studies indicate that sequence modeling, rather than just sh…