Difference between revisions of "Character Recognition"
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* [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] | * [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] | ||
** Concepts/Tools/Standards: | ** Concepts/Tools/Standards: | ||
| − | *** Deep Features | + | *** [[Deep Features]] |
| − | *** Local Features | + | *** [[Local Features]] |
*** [http://github.com/python-pillow/Pillow Pillow] file format support, an efficient internal representation, and fairly powerful image processing capabilities | *** [http://github.com/python-pillow/Pillow Pillow] file format support, an efficient internal representation, and fairly powerful image processing capabilities | ||
*** [http://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt Face Recognition Vendor Test (FRVT) | NIST] | *** [http://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt Face Recognition Vendor Test (FRVT) | NIST] | ||
Revision as of 13:35, 29 June 2019
YouTube search... ...Google search
- Capabilities
- Image Retrieval / Object Detection
- Multilingual Optical Character Recognition (OCR) in Unconstrained Image and Video | David Etter
- Concepts/Tools/Standards:
- Deep Features
- Local Features
- Pillow file format support, an efficient internal representation, and fairly powerful image processing capabilities
- Face Recognition Vendor Test (FRVT) | NIST
- Datasets/Networks:
- Concepts/Tools/Standards:
- Media Distillery understanding video to engage customers
- Detect text in images | Google - Optical Character Recognition (OCR)
- Amazon Textract service that automatically extracts text and data from scanned documents
- Recommends ingredients and recipes based on a photo of food
- A gentle introduction to OCR | Gidi Shperber - Toward Data Science
