{"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\/sq\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-4-1","title":{"rendered":"Shp\u00ebrndarja e sistemit t\u00eb njohjes s\u00eb tekstit 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\">I p\u00ebrgatitur<\/a><\/noindex> shp\u00ebrndarja e sistemit t\u00eb njohjes optike t\u00eb tekstit <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/\">Tesseract 4.1<\/a><\/noindex>, e cila mb\u00ebshtet njohjen e simboleve UTF-8 dhe teksteve n\u00eb m\u00eb shum\u00eb se 100 gjuh\u00eb, p\u00ebrfshir\u00eb rusishten, kazakishten, bjellorusishten dhe ukrainishten. Rezultati mund t\u00eb ruhet si tekst i hapur, ashtu edhe n\u00eb formate HTML (hOCR), ALTO (XML), PDF dhe TSV. N\u00eb fillim, sistemi u krijua midis viteve 1985-1995 n\u00eb laboratorin e kompanis\u00eb Hewlett Packard, nd\u00ebrsa n\u00eb vitin 2005 kodi u hap n\u00ebn licenc\u00ebn Apache dhe m\u00eb pas u zhvillua me pjes\u00ebmarrjen e punonj\u00ebsve t\u00eb kompanis\u00eb Google. Tekstet origjinale t\u00eb projektit <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\">shp\u00ebrndahen<\/a><\/noindex> n\u00ebn licenc\u00ebn Apache 2.0.<\/p>\n<p> Tesseract p\u00ebrfshin nj\u00eb utilit konsol\u00eb dhe bibliotek\u00ebn libtesseract p\u00ebr integrimin e funksioneve t\u00eb njohjes s\u00eb tekstit n\u00eb aplikacione t\u00eb tjera. Nga GUI-t\u00eb e mb\u00ebshtetura nga Tesseract, <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/User-Projects-%E2%80%93-3rdParty\">mund t\u00eb theksojm\u00eb<\/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> dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/sourceforge.net\/projects\/yagf-ocr\/\">YAGF<\/a><\/noindex>. Ofrohen dy motor\u00eb njohjeje: klasik, i cili njeh tekstin n\u00eb nivelin e t\u00eb shkruarit t\u00eb simboleve t\u00eb ve\u00e7anta, dhe i ri, i cili bazohet n\u00eb p\u00ebrdorimin e nj\u00eb sistemi t\u00eb m\u00ebsimit t\u00eb makinerive t\u00eb bazuar n\u00eb rrjetin nervor LSTM, i optimizuar p\u00ebr njohjen e rreshtave t\u00eb t\u00ebr\u00eb dhe q\u00eb lejon arritjen e nj\u00eb rritjeje t\u00eb konsiderueshme t\u00eb sakt\u00ebsis\u00eb. Modelet e gatshme t\u00eb trajnuara jan\u00eb publikuar p\u00ebr <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/Data-Files\">123 gjuh\u00eb<\/a><\/noindex>. P\u00ebr optimizimin e performanc\u00ebs, ofrohen module q\u00eb p\u00ebrdorin OpenMP dhe instrukcione SIMD AVX2, AVX ose SSE4.1. <\/p>\n<p>Ndryshimet kryesore <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/wiki\/ReleaseNotes\">p\u00ebrmir\u00ebsime<\/a><\/noindex> n\u00eb Tesseract 4.1:<\/p>\n<ul>\n<li class=\"l\"> Shtuar mund\u00ebsia e daljes n\u00eb formatin 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\"> Shtuar module t\u00eb reja t\u00eb renderimit LSTMBox dhe WordStrBox, q\u00eb thjeshtojn\u00eb trajnimin e motorit;\n<li class=\"l\"> Shtuar mb\u00ebshtetje p\u00ebr pseudografik\u00ebn n\u00eb daljen hOCR (HTML);\n<li class=\"l\"> Shtuar skripta alternative t\u00eb shkruara n\u00eb Python p\u00ebr trajnim t\u00eb motorit bazuar n\u00eb m\u00ebsimin e makinerive;\n<li class=\"l\"> Zgjeruar optimizimet duke p\u00ebrdorur instrukcione AVX, AVX2 dhe SSE;\n<li class=\"l\"> Mb\u00ebshtetja OpenMP \u00ebsht\u00eb e \u00e7aktivizuar si parazgjedhje p\u00ebr shkak t\u00eb <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/tesseract-ocr\/tesseract\/issues\/1171\">problemeve<\/a><\/noindex> performanc\u00ebs;\n<li class=\"l\"> N\u00eb motorin LSTM \u00ebsht\u00eb shtuar mb\u00ebshtetje p\u00ebr listat e bardha dhe t\u00eb zeza;\n<li class=\"l\"> Jan\u00eb p\u00ebrmir\u00ebsuar skenar\u00ebt e nd\u00ebrtimit t\u00eb bazuar n\u00eb Cmake.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Burimi: <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-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - 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 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Rezultati mund t\u00eb ruhet si tekst i hapur, ashtu si edhe n\u00eb formatet HTML (hOCR), ALTO (XML), PDF dhe TSV. 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