Difference between revisions of "Character Recognition"
m (Text replacement - "http:" to "https:") |
m |
||
| Line 9: | Line 9: | ||
* [[Capabilities]] | * [[Capabilities]] | ||
| − | |||
* [https://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://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: | ||
Revision as of 14:54, 28 April 2023
YouTube search... ...Google search
- Capabilities
- 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)
- Textract
- Recommends ingredients and recipes based on a photo of food
- A gentle introduction to OCR | Gidi Shperber - Toward Data Science
