Optical Character Recognition
Revision as of 17:15, 29 August 2013 by City-busz (→Layout analyzers and user interfaces: update URL)
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 — 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 — OCR engine which also supports barcode recognition.
- Ocrad — OCR program based on a feature extraction method.
- Tesseract — Accurate open source OCR engine. Package splitted, you need install some datafiles for each language ( for example).
Layout analyzers and user interfaces
- gImageReader — Graphical GTK frontend to Tesseract.
- gscan2pdf — Scans, runs Tesseract and creates a PDF all in one go.
- 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.
- OCRopus — OCR platform, modules exist for document layout analysis, OCR engines (it can use Tesseract or its own engine), natural language modeling, etc.
- YAGF — Graphical interface for the CuneiForm text recognition program on the Linux platform.