Difference between revisions of "Character Recognition"

Revision as of 11:50, 29 June 2019

Capabilities
Multilingual Optical Character Recognition (OCR) in Unconstrained Image and Video | David Etter
- Tools:
  - Pillow file format support, an efficient internal representation, and fairly powerful image processing capabilities
Media Distillery understanding video to engage customers
- Datasets:
  - ImageNet | Wikipedia
Detect text in images | Google - Optical Character Recognition (OCR)
- Tesseract OCR | Google
  - Building an OCR using YOLO and Tesseract | i2tutorials
Amazon Textract service that automatically extracts text and data from scanned documents

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 * [[Capabilities]]
 * [http://www.slideshare.net/DataWorksMD/multilingual-optical-character-recognition-ocr-in-unconstrained-image-and-video Multilingual Optical Character Recognition (OCR) in Unconstrained Image and Video | David Etter]
-** [https://github.com/python-pillow/Pillow Pillow] file format support, an efficient internal representation, and fairly powerful image processing capabilities
+** Tools:
+*** [https://github.com/python-pillow/Pillow Pillow] file format support, an efficient internal representation, and fairly powerful image processing capabilities
 * [http://www.mediadistillery.com/technology/ Media Distillery] understanding video to engage customers
+** Datasets:
+*** [http://en.wikipedia.org/wiki/ImageNet ImageNet | Wikipedia]
 * [http://cloud.google.com/vision/docs/ocr Detect text in images | Google] - Optical Character Recognition (OCR)
 ** [http://opensource.google.com/projects/tesseract Tesseract OCR | Google]