{"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\/news\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","title":{"rendered":"Freigabe des Textverarbeitungssystems 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\">Vorbereitet<\/a><\/noindex> Ver\u00f6ffentlichung des Systems zur optischen Texterkennung <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 als reiner Text sowie in HTML (hOCR), ALTO (XML), PDF und TSV gespeichert werden. Urspr\u00fcnglich wurde das System zwischen 1985 und 1995 im Labor von Hewlett Packard entwickelt, der Code wurde 2005 unter der Apache-Lizenz ver\u00f6ffentlicht und wurde seither mit Unterst\u00fctzung von Google weiterentwickelt. Die Quelltexte des Projekts <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\">unter der freien Lizenz Apache 2.0 verbreitet.<\/a><\/noindex> unter der Apache 2.0 Lizenz.<\/p>\n<p> Tesseract umfasst ein Konsolenwerkzeug und die Bibliothek libtesseract zur Integration von Texterkennungsfunktionen in andere Anwendungen. Von der Tesseract unterst\u00fctzte Drittanbieter <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/User-Projects-%E2%80%93-3rdParty\">GUI-Schnittstellen<\/a><\/noindex> kann man hervorheben, <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 stehen zwei Texterkennungs-Engines zur Verf\u00fcgung: eine klassische Engine, die Text auf Zeichenebene erkennt, sowie eine neue, die auf einem maschinellen Lernsystem mit rekurrenten neuronalen Netzen (LSTM) basiert, optimiert f\u00fcr die Erkennung ganzer Zeilen und eine signifikante Steigerung der Genauigkeit erm\u00f6glicht. Vorab trainierte Modelle sind f\u00fcr <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/Data-Files\">123 Sprachen<\/a><\/noindex>verf\u00fcgbar. Zur Optimierung der Leistung werden Module angeboten, die OpenMP und SIMD-Instruktionen wie AVX2, AVX oder SSE4.1 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 zur Ausgabe 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, m\u00fcssen Sie die Anwendung mit &#171;tessaract bild_name ausgabeverzeichnis alto&#187; starten;\n<li class=\"l\"> Neue Rendering-Module wie LSTMBox und WordStrBox wurden hinzugef\u00fcgt, die das Training der Engine erleichtern;\n<li class=\"l\"> Die Unterst\u00fctzung von Pseudografie in der hOCR-Ausgabe (HTML) wurde hinzugef\u00fcgt;\n<li class=\"l\"> Es wurden alternative Skripte zur Ausbildung der Engine auf Basis von maschinellem Lernen in Python hinzugef\u00fcgt;\n<li class=\"l\"> Optimierungen unter Verwendung von AVX-, AVX2- und SSE-Instruktionen wurden erweitert;\n<li class=\"l\"> Die OpenMP-Unterst\u00fctzung ist standardm\u00e4\u00dfig deaktiviert aufgrund von <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/issues\/1171\">der Probleme<\/a><\/noindex> Leistungsproblemen;\n<li class=\"l\"> Im LSTM-Engine wurden die Unterst\u00fctzung f\u00fcr wei\u00dfe und schwarze Listen 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 \u0431\u043e\u043b\u0435\u0435 \u0447\u0435\u043c 100 \u044f\u0437\u044b\u043a\u0430\u0445, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0440\u0443\u0441\u0441\u043a\u0438\u0439, \u043a\u0430\u0437\u0430\u0445\u0441\u043a\u0438\u0439, \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u0438 \u0443\u043a\u0440\u0430\u0438\u043d\u0441\u043a\u0438\u0439. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0442\u044c\u0441\u044f \u043a\u0430\u043a \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0442\u0435\u043a\u0441\u0442\u043e\u043c, \u0442\u0430\u043a \u0438 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0430\u0445 HTML (hOCR), ALTO (XML), PDF \u0438 TSV. \u0418\u0437\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0431\u044b\u043b\u0430 \u0441\u043e\u0437\u0434\u0430\u043d\u0430 \u0432 1985-1995 \u0433\u043e\u0434\u0430\u0445 \u0432 \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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - 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\" \/>\n\t<meta name=\"robots\" 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