{"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\/pl\/blog\/news\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","title":{"rendered":"Wydanie systemu rozpoznawania tekstu 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\">Przygotowano<\/a><\/noindex> wydanie systemu optycznego rozpoznawania tekstu <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/\">Tesseract 4.1<\/a><\/noindex>, wspieraj\u0105cego rozpoznawanie znak\u00f3w UTF-8 oraz tekst\u00f3w w ponad 100 j\u0119zykach, w tym rosyjskim, kazachskim, bia\u0142oruskim i ukrai\u0144skim. Wynik mo\u017cna zapisywa\u0107 zar\u00f3wno jako zwyk\u0142y tekst, jak i w formatach HTML (hOCR), ALTO (XML), PDF i TSV. System zosta\u0142 pierwotnie stworzony w latach 1985-1995 w laboratorium firmy Hewlett Packard, a w 2005 roku kod zosta\u0142 udost\u0119pniony na licencji Apache i rozwijany z udzia\u0142em pracownik\u00f3w firmy Google. \u0179r\u00f3d\u0142owe teksty projektu <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\">s\u0105 rozpowszechniane<\/a><\/noindex> na licencji Apache 2.0.<\/p>\n<p> Tesseract zawiera konsolowe narz\u0119dzie oraz bibliotek\u0119 libtesseract do wbudowywania funkcji rozpoznawania tekstu w innych aplikacjach. W\u015br\u00f3d wspieraj\u0105cych Tesseract zewn\u0119trznych <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/User-Projects-%E2%80%93-3rdParty\">interfejs\u00f3w GUI<\/a><\/noindex> mo\u017cna wymieni\u0107 <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> i <noindex><a rel=\"nofollow\" href=\"https:\/\/sourceforge.net\/projects\/yagf-ocr\/\">YAGF<\/a><\/noindex>. Oferowane s\u0105 dwa silniki rozpoznawania: klasyczny, rozpoznaj\u0105cy tekst na poziomie szablon\u00f3w pojedynczych znak\u00f3w, oraz nowy, oparty na zastosowaniu systemu uczenia maszynowego opartego na rekurencyjnych sieciach neuronowych LSTM, zoptymalizowany do rozpoznawania ca\u0142ych linii, co pozwala na znacz\u0105ce zwi\u0119kszenie dok\u0142adno\u015bci. Gotowe wytrenowane modele opublikowane s\u0105 dla <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/Data-Files\">123 j\u0119zyk\u00f3w<\/a><\/noindex>. W celu optymalizacji wydajno\u015bci oferowane s\u0105 modu\u0142y wykorzystuj\u0105ce OpenMP oraz instrukcje SIMD AVX2, AVX lub SSE4.1. <\/p>\n<p>Podstawowe <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/ReleaseNotes\">ulepszenia<\/a><\/noindex> w Tesseract 4.1:<\/p>\n<ul>\n<li class=\"l\"> Dodano mo\u017cliwo\u015b\u0107 wyj\u015bcia w formacie XML <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/ALTO_(XML)\">ALTO<\/a><\/noindex> (Analyzed Layout and Text Object). \u0414\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u043e\u0433\u043e \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043a\u0430\u043a &#171;tessaract \u0438\u043c\u044f_\u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043a\u0430\u0442\u0430\u043b\u043e\u0433_\u0432\u044b\u0432\u043e\u0434\u0430 alto&#187;;\n<li class=\"l\"> Dodano nowe modu\u0142y renderowania LSTMBox i WordStrBox, kt\u00f3re upraszczaj\u0105 proces szkolenia silnika;\n<li class=\"l\"> Dodano wsparcie dla pseudograficznych w hOCR (HTML);\n<li class=\"l\"> Dodano alternatywne skrypty w j\u0119zyku Python do szkolenia silnika opartego na uczeniu maszynowym;\n<li class=\"l\"> Rozszerzono optymalizacje z wykorzystaniem instrukcji AVX, AVX2 i SSE;\n<li class=\"l\"> Domy\u015blnie wy\u0142\u0105czono wsparcie dla OpenMP z powodu <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/issues\/1171\">problemach<\/a><\/noindex> wydajno\u015bci;\n<li class=\"l\"> W silniku LSTM dodano wsparcie dla bia\u0142ych i czarnych list;\n<li class=\"l\"> Udoskonalono skrypty budowlane oparte na Cmake.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>\u0179r\u00f3d\u0142o: <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\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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