![]() ![]()
The source code is managed over and is maintained and developed by a developer community. From 2013 onwards, an additional recognition with () was offered, which with the release of version 1.0 in November 2014 is the only recognizer. This recognizer was then used together with OpenFST for after the recognition step. Instead, a self-developed text recognizer (also segment-based) was used. Since 2009 (version 0.4) Tesseract was only supported as a plugin. Initially, was used as the only text recognition module. A complete in Python modules was done and released in version 0.5 (June 2012). Originally, the software was developed in, and with as a. The first alpha version 0.1 was released on 22 October 2007 and several pre-releases followed between December 2007 and May 2009 reaching a stable version 0.4.4 in March 2010. OCRopus has received further funding from the and the. Licensing under an open source license was made right from the start to facilitate collaboration between industrial and academic research. In return, OCRopus was also used for automatic text recognition in. Funding was granted for a period of three years and covered in particular PhD and postdoctoral positions at and the. History On 9 April 2007, OCRopus was announced as a Google-sponsored project to develop advanced OCR technologies. Very good detection rates can be achieved through an appropriate training.This extra effort is particularly worthwhile for difficult documents or scripts that are no longer common today, which are not in the focus of other OCR software. In addition to the, there are results for other scripts such as, and. This makes it possible to train language-independent models for which good recognition results for English, German and French have been shown at the same time. Recent text recognition is based on () and does not require a language model. New characters or language variants can be trained either new or in addition. These models refer to the script and are largely independent of the actual language. By default, OCRopus comes with a model for English texts and a model for text in. The allows individual workflows to be used and individual steps to be exchanged.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |