{"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\/es\/blog\/news\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","title":{"rendered":"Lanzamiento del sistema de reconocimiento de texto 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\">Preparado<\/a><\/noindex> lanzamiento del sistema de reconocimiento \u00f3ptico de texto <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/\">Tesseract 4.1<\/a><\/noindex>, que soporta el reconocimiento de caracteres UTF-8 y textos en m\u00e1s de 100 idiomas, incluyendo ruso, kazajo, bielorruso y ucraniano. El resultado puede guardarse como texto plano o en formatos HTML (hOCR), ALTO (XML), PDF y TSV. Inicialmente, el sistema fue creado entre 1985 y 1995 en el laboratorio de la compa\u00f1\u00eda Hewlett Packard, en 2005 el c\u00f3digo fue liberado bajo la licencia Apache y luego se desarroll\u00f3 con la participaci\u00f3n de empleados de Google. Los textos originales del proyecto <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\">se distribuyen<\/a><\/noindex> bajo la licencia Apache 2.0.<\/p>\n<p> Tesseract incluye una utilidad de consola y la biblioteca libtesseract para integrar funciones de reconocimiento de texto en otras aplicaciones. Entre las interfaces GUI de terceros que soportan Tesseract <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/User-Projects-%E2%80%93-3rdParty\">se pueden mencionar<\/a><\/noindex> gImageReader <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/manisandro\/gImageReader\">VietOCR<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"http:\/\/vietocr.sourceforge.net\/\">YAGF<\/a><\/noindex> y <noindex><a rel=\"nofollow\" href=\"https:\/\/sourceforge.net\/projects\/yagf-ocr\/\">. Se ofrecen dos motores de reconocimiento: el cl\u00e1sico, que reconoce texto a nivel de patrones de caracteres individuales, y uno nuevo, que se basa en el uso de sistemas de aprendizaje autom\u00e1tico con redes neuronales recurrentes LSTM, optimizado para reconocer l\u00edneas completas y que permite un aumento significativo de la precisi\u00f3n. Modelos entrenados ya disponibles para<\/a><\/noindex>123 idiomas <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/Data-Files\">. Para optimizar el rendimiento, se ofrecen m\u00f3dulos que utilizan OpenMP y las instrucciones SIMD AVX2, AVX o SSE4.1.<\/a><\/noindex>en Tesseract 4.1: <\/p>\n<p>Principales <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/ReleaseNotes\">mejoras<\/a><\/noindex> Se ha a\u00f1adido la opci\u00f3n de salida en formato XML<\/p>\n<ul>\n<li class=\"l\"> ALTO <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/ALTO_(XML)\">(Analyzed Layout and Text Object). Para utilizar este formato, debe ejecutar la aplicaci\u00f3n como 'tesseract nombre_imagen directorio_salida alto';<\/a><\/noindex> (Analizado el dise\u00f1o y el objeto de texto). Para utilizar este formato, debe ejecutar la aplicaci\u00f3n como &#171;tessaract nombre_imagen directorio_salida alto&#187;;\n<li class=\"l\"> Se ha a\u00f1adido soporte para gr\u00e1ficos ASCII en la salida hOCR (HTML);\n<li class=\"l\"> Se han a\u00f1adido scripts alternativos en Python para entrenar el motor basado en aprendizaje autom\u00e1tico;\n<li class=\"l\"> Se han ampliado las optimizaciones utilizando instrucciones AVX, AVX2 y SSE;\n<li class=\"l\"> Por defecto, el soporte de OpenMP est\u00e1 deshabilitado debido a\n<li class=\"l\"> rendimiento; <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/issues\/1171\">problemas<\/a><\/noindex> En el motor LSTM se ha a\u00f1adido soporte para listas blancas y negras;\n<li class=\"l\"> Se han mejorado los scripts de compilaci\u00f3n basados en Cmake.\n<li class=\"l\"> Se ha preparado el lanzamiento del sistema de reconocimiento \u00f3ptico de texto\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Fuente: <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 5.0.2 - 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\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" 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