Download as PDF, PPTX
![Text Localization Text
Localization
Text
Recognition
이활석, https://www.slideshare.net/deview/111-ai
regression-based
(like object detection)
end-to-end
[Textboxes, Liao et al., AAAI2017] [PixelLink, Deng et al., AAAI2018]
classification-based
(like semantic segmentation)
[FOTS, Liu et al., CVPR2018]
simultaneous local+recog
# of
papers
training unstable stable](https://image.slidesharecdn.com/42ocr-190214054348/85/A-brief-introduction-to-OCR-Optical-character-recognition-7-320.jpg)
Uploaded byTerry Taewoong Um
A brief introduction to OCR (Optical character recognition)
The document discusses optical character recognition (OCR), explaining its purpose of reading various forms of text from images and emphasizing its challenges compared to object detection. It highlights difficulties such as variations in font, size, and language, as well as the need for advanced machine learning techniques. The content also suggests foundational knowledge required in machine learning and neural networks to understand OCR applications.
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A brief introduction to OCR (Optical character recognition)
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- 7. Text Localization Text Localization Text Recognition 이활석,https://www.slideshare.net/deview/111-ai regression-based (like object detection) end-to-end [Textboxes, Liao et al., AAAI2017] [PixelLink, Deng et al., AAAI2018] classification-based (like semantic segmentation) [FOTS, Liu et al., CVPR2018] simultaneous local+recog # of papers training unstable stable
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