OCR/Roadmap: Difference between revisions
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* OpenCV | * OpenCV | ||
* Moodstocks | * Moodstocks | ||
Targets: | |||
* Logos (standardized) | |||
* Text | |||
* Standardized layouts (US Nutrition labels) | |||
* Standardized text (quantities, EU Packaging codes) | |||
* Barcodes (extraction in uploaded images) | |||
* Image orientation: check that the text is properly oriented to guess if the image is properly oriented. | |||
Extracting areas is already great work: if we can extract logos or patterns, it will be faster for humans to double check and turn that into text. | |||
Revision as of 17:16, 1 November 2013
Currently, all products are edited manually. This project is about automatic or semi-automatic detection of a number of things using OCR and Computer vision.
Tools:
- Google Drive OCR or Google Goggles
- Ocropus
- OpenCV
- Moodstocks
Targets:
- Logos (standardized)
- Text
- Standardized layouts (US Nutrition labels)
- Standardized text (quantities, EU Packaging codes)
- Barcodes (extraction in uploaded images)
- Image orientation: check that the text is properly oriented to guess if the image is properly oriented.
Extracting areas is already great work: if we can extract logos or patterns, it will be faster for humans to double check and turn that into text.