Unverified50% confidenceFactExact time
Traditional OCR engines such as Tesseract rely on image preprocessing and pattern matching, recognizing characters one by one through LSTM networks, and often make errors with complex layouts or low-quality images.
1
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50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
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Related Claims
Unverified传统OCR的工作原理包括图像预处理（二值化、降噪、倾斜校正）、字符分割、特征提取和模式匹配等步骤73% similarUnverifiedLLaVA-1.6's AnyRes strategy selects the optimal cropping scheme based on the image aspect ratio, passes each sub-patch independently through the visual encoder, while retaining one downsampled global image.65% similarUnverified即便出现能对PR图片进行OCR扫描的安全工具，攻击者仍可通过图像混淆手段对抗基于规则的文本检测，而这些混淆对多模态大模型几乎无影响64% similar
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