A-level计算机科学（A-level Computer science）是众多的A-level科目中比较热门的一门课程，对于报考...
Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. However, their effectiveness in text-related visual tasks remains relatively unexplored. In this paper, we conducted a comprehensive evaluation of large multimodal models, such as GPT...
OpenText Capture Center enables you to scan and use paper documents, emails, scanned images, invoices, etc., as editable documents using the OCR technology. The tool turns scanned and uneditable documents into a machine-readable format so it can input all the characters from the original document...
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This clear, concise Complete Revision & Practice book from CGP is a perfect way to prepare for the OCR B A-Level Physics exams - it covers every topic from both years of the course. It's fully up-to-date for the new exam specifications for 2015 and beyond, with straightforward explanatio...
Recognition of mixed conjunct consonants is critical than the normalconsonants, because of their variation in written strokes, conjunct maxing with pre and postlevel of consonants. This paper proposes the layered approach methodology to recognize thecharacters, conjunct consonants, mixed- conjunct ...
OCR分为文字检测和文字识别两个部分。 计算机视觉,OCR相关的顶会、重要论文。 2020-12-11 整理,共283篇论文。 2020年48篇 2019年45篇 2018年55篇 2017年35篇 2016年19篇 文章列表 @article{Chen2004, author = {Chen, D
Official Implementation of Donut and SynthDoG | Paper | Slide | PosterIntroductionDonut 🍩, Document understanding transformer, is a new method of document understanding that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR engines/APIs, yet it shows ...
In an OCR post-processing task, a language model is used to find the best transformation of the OCR hypothesis into a string compatible with the language. The cost of this transformation is used as a confidence value to reject the strings that are less l
Official Implementation of Donut and SynthDoG | Paper | Slide | PosterIntroductionDonut 🍩, Document understanding transformer, is a new method of document understanding that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR engines/APIs, yet it shows ...