Objavljen je izdanak Optical Character Recognition sistema Tesseract 4.1, koji podr\u017eava prepoznavanje UTF-8 simbola i tekstova na vi\u0161e od 100 jezika, uklju\u010duju\u0107i ruski, kazahstanski, beloruski i ukrajinski. Rezultati se mogu \u010duvati kao obi\u010dan tekst, kao i u HTML formatima (hOCR), ALTO (XML), PDF i TSV. Sistem je prvobitno razvijen od 1985. do 1995. godine u laboratoriji kompanije Hewlett Packard, a 2005. godine kod je otvoren pod Apache licencom i dalje se razvijao uz pomo\u0107 zaposlenih kompanije Google. Izvorni tekstovi projekta distribuiraju se pod Apache 2.0 licencom. <\/p>\n
Tesseract vklju\u010duje konzolno orodje in knji\u017enico libtesseract za vgrajevanje funkcij prepoznavanja besedila v druge aplikacije. Med podprtimi zunanjimi GUI vmesniki Tesseract se lahko omenijo gImageReader, VietOCR in YAGF. Na voljo sta dva motornika prepoznavanja: klasi\u010dni, ki prepoznava besedilo na ravni predlog posameznih znakov, in nov, ki temelji na uporabi sistema strojnega u\u010denja s pomo\u010djo rekurentne nevronske mre\u017ee LSTM, optimizirane za prepoznavanje celotnih vrstic, kar omogo\u010da znatno pove\u010danje natan\u010dnosti. Pripravljenih izu\u010denih modelov je objavljenih za 123 jezikov. Za optimizacijo delovanja so na voljo moduli, ki uporabljajo OpenMP in SIMD navodila AVX2, AVX, NEON ali SSE4.1. <\/p>\n
Glavna pobolj\u0161anja u Tesseract 5.0: <\/p>\n
\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\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 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