Optical Character Recognition
Revision as of 21:39, 8 June 2013 by Karol (rm red links)
There are several steps to the whole OCR process, the actual OCR engine is only part of this:
- document layout analysis
- optical character recognition
- post-processing (formatting, PDF creation)
OCR (Optical Character Recognition) Engines
- CuneiForm — A command line OCR system originally developed and open sourced by Cognitive technologies. Supported languages: eng, ger, fra, rus, swe, spa, ita, ruseng, ukr, srp, hrv, pol, dan, por, dut, cze, rum, hun, bul, slo, lav, lit, est, tur.
- GOCR/JOCR — An OCR engine which also supports barcode recognition.
- Ocrad — An OCR program based on a feature extraction method.
- Tesseract — "Probably one of the most accurate open source OCR engines available". Package splitted, you need install some datafiles for each language ( for examle).
Layout analysers and user interfaces
- OCRFeeder — Python GUI for Gnome which performs document analysis and rendition, and can use either CuneiForm, GOCR, Ocrad or Tesseract as OCR engines. It can import from PDF or image files, and export to HTML or OpenDocument.
- YAGF — graphical interface for the CuneiForm text recognition program on the Linux platform. Available from community repository
- gImageReader — A graphical GTK frontend to Tesseract
- gscan2pdf — scans, runs Tesseract and creates a PDF all in one go
- OCRopus — OCR platform, modules exist for document layout analysis, OCR engines (it can use Tesseract or its own engine), natural language modelling, etc. Available from AUR