Difference between revisions of "OCR/Roadmap"
Jump to navigation
Jump to search
| Line 16: | Line 16: | ||
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. | 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. | ||
| + | |||
| + | [[Category:OFF-Project]] | ||
Revision as of 16:54, 2 May 2015
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.