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The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video.
It provides two main features:
1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions.
2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing.
For working of this program on...
Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
A Neural network based, handwriting recognition software who's aim is to have a cursive OCR software. Although it is used in handwriting recognition, it can be used as well for creating Neural Networks and learning of those networks.
An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.