See Tesseract Training for more information. Tesseract can be trained to recognize other languages. If you need one, please see the 3rdParty documentation. This project does not include a GUI application. You should note that in many cases, in order to get better OCR results, you'll need to improve the quality of the image you are giving Tesseract. The master branch also has experimental support for ALTO (XML) output. Tesseract supports various output formats: plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV. Tesseract has unicode (UTF-8) support, and can recognize more than 100 languages "out of the box". For a list of contributors see AUTHORS and GitHub's log of contributors. It also needs traineddata files which support the legacy engine, for example those from the tessdata repository. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (-oem 0). Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. This package contains an OCR engine - libtesseract and a command line program - tesseract.
0 kommentar(er)
