TAPoR 3 Discover research tools for studying texts.

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Tesseract OCR

Tesseract is a free raw OCR engine originally developed by HP Labs and now maintained by Google. It works with the Leptonica Image Processing Library, and is capable of reading a variety of image formats. It can convert images to text in over 40 languages.

Tesseract

Combined with the Leptonica Image Processing Library Tesseract can read a wide variety of image formats and convert them to text in over 40 languages.

This code is a raw OCR engine. It has no output formatting and no UI. It can detect fixed pitch vs proportional text. Nevertheless in 1995 this engine was in the top 3 in terms of character accuracy, and it compiles and runs on both Linux and Windows. Training code is included in the open source release.

The core developer on the project is Ray Smith (theraysmith).

Thomas Breuel (tmbdev) and Ilya Mezhirov (mezhirov) work on the OCRopus project, for which Tesseract is one of the pluggable OCR engines; OCRopus also provides layout analysis and statistical language modeling.

Most of the work on Tesseract is sponsored by Google.

OmniPage

A software tool capable of performing Optical Character Recognition (OCR) upon a set of images. It was one of the first OCR recognition software to be developed. It was developed in the late 1980s and sold by Caere Corporation. It is currently owned by Kofax Inc. It achieves the task by analysing pixel sets and in an image and cross-matching them to a dictionary of words. Omnipage automates large sections of the digitisation process enabling physical objects to be scanned, processed using the OCR software and exported to a document file format. Later versions of the software incorporate image enhancement features to improve scan quality (and recognition results) and better support for complex page layouts and forms.

Features:

Integration with scanning software

Maintain layout of captured document

Gamera

A free (under the GNU General Public License) toolkit for the development of document image recognition systems.

Features:

Custom dictionaries may be created to assist with analysis of specific record types

Extensible functionality

Optical character recognition (OCR) toolkit plugin