{"id":36102,"date":"2019-10-31T22:09:38","date_gmt":"2019-10-31T19:09:38","guid":{"rendered":"https:\/\/prohoster.info\/blog\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1\/"},"modified":"2019-10-31T22:09:38","modified_gmt":"2019-10-31T19:09:38","slug":"reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","title":{"rendered":"Release des Text-Erkennungssystems Tesseract 4.1","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/groups.google.com\/forum\/#!topic\/tesseract-ocr\/oKtTOIGIMaM\">Vorbereitung<\/a><\/noindex> Ver\u00f6ffentlichung des optischen Texterkennungssystems <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/\">Tesseract 4.1<\/a><\/noindex>, das die Erkennung von UTF-8-Zeichen und Texten in mehr als 100 Sprachen einschlie\u00dflich Russisch, Kasachisch, Wei\u00dfrussisch und Ukrainisch unterst\u00fctzt. Die Ergebnisse k\u00f6nnen sowohl im Klartext als auch in den Formaten HTML (hOCR), ALTO (XML), PDF und TSV gespeichert werden. Urspr\u00fcnglich wurde das System zwischen 1985 und 1995 im Labor von Hewlett Packard entwickelt; im Jahr 2005 wurde der Code unter der Apache-Lizenz ver\u00f6ffentlicht und sp\u00e4ter mit Unterst\u00fctzung von Mitarbeitern von Google weiterentwickelt. Die Originaltexte des Projekts <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\">werden<\/a><\/noindex> unter der Apache 2.0-Lizenz.<\/p>\n<p> Tesseract umfasst ein Konsolenwerkzeug und die Bibliothek libtesseract, um Texterkennungsfunktionen in andere Anwendungen zu integrieren. Zu den unterst\u00fctzenden Tesseract-Drittanbietersoftware <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/User-Projects-%E2%80%93-3rdParty\">GUI-Schnittstellen<\/a><\/noindex> kann man <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/manisandro\/gImageReader\">gImageReader<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"http:\/\/vietocr.sourceforge.net\/\">VietOCR<\/a><\/noindex> und <noindex><a rel=\"nofollow\" href=\"https:\/\/sourceforge.net\/projects\/yagf-ocr\/\">YAGF<\/a><\/noindex>. Es werden zwei Erkennungsengines angeboten: die klassische Engine, die Text auf der Grundlage von Mustern einzelner Zeichen erkennt, und eine neue, die auf einem maschinellen Lernsystem mit rekurrenten neuronalen Netzen (LSTM) basiert, optimiert f\u00fcr die Erkennung ganzer Zeilen und erm\u00f6glicht eine erhebliche Erh\u00f6hung der Genauigkeit. Fertig trainierte Modelle sind f\u00fcr <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/Data-Files\">123 Sprachen ver\u00f6ffentlicht.<\/a><\/noindex>. Zur Optimierung der Leistung werden Module angeboten, die OpenMP und AVX2-, AVX- oder SSE4.1-Befehle nutzen. <\/p>\n<p>Haupt <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/ReleaseNotes\">Verbesserungen<\/a><\/noindex> in Tesseract 4.1:<\/p>\n<ul>\n<li class=\"l\"> Die M\u00f6glichkeit zum Export im XML-Format wurde hinzugef\u00fcgt. <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/ALTO_(XML)\">ALTO<\/a><\/noindex> (Analyzed Layout and Text Object). Um dieses Format zu verwenden, sollten Sie die Anwendung mit dem Befehl &#171;tessaract bildname ausgabe_verzeichnis alto&#187; starten;\n<li class=\"l\"> Neue Rendering-Module LSTMBox und WordStrBox wurden hinzugef\u00fcgt, um das Training der Engine zu erleichtern;\n<li class=\"l\"> Unterst\u00fctzung f\u00fcr Pseudografiken im hOCR-Ausgabeformat (HTML) wurde hinzugef\u00fcgt;\n<li class=\"l\"> Es wurden alternative Skripte in Python f\u00fcr das maschinelle Lernen zur Schulung der Engine hinzugef\u00fcgt;\n<li class=\"l\"> Optimierungen mit AVX-, AVX2- und SSE-Befehlen wurden erweitert;\n<li class=\"l\"> Die Unterst\u00fctzung f\u00fcr OpenMP ist standardm\u00e4\u00dfig deaktiviert aufgrund von <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/issues\/1171\">problemen<\/a><\/noindex> der Leistung;\n<li class=\"l\"> Der LSTM-Engine wurde Unterst\u00fctzung f\u00fcr White- und Blacklists hinzugef\u00fcgt;\n<li class=\"l\"> Die Build-Skripte basierend auf Cmake wurden verbessert.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Quelle: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51081\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d \u0440\u0435\u043b\u0438\u0437 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043e\u043f\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u0430 Tesseract 4.1, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0435\u0439 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 UTF-8 \u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432 \u043d\u0430 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\u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0438\u0438 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 Hewlett Packard, \u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36102","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d \u0440\u0435\u043b\u0438\u0437 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043e\u043f\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u0430 Tesseract 4.1, 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Es unterst\u00fctzt die Erkennung von UTF-8-Zeichen und Texten in mehr als 100 Sprachen, darunter Russisch, Kasachisch, Wei\u00dfrussisch und Ukrainisch. Die Ergebnisse k\u00f6nnen sowohl als reiner Text als auch in den Formaten HTML (hOCR), ALTO (XML), PDF und TSV gespeichert werden. Urspr\u00fcnglich wurde das System in den Jahren 1985-1995 im Labor der Firma Hewlett Packard entwickelt.","canonical_url":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"de_DE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0420\u0435\u043b\u0438\u0437 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u0430 Tesseract 4.1 | 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