Udgivelsen af Tesseract 4.1, et system til optisk tegngenkendelse, er blevet offentliggjort. Det underst\u00f8tter genkendelse af UTF-8 tegn og tekster p\u00e5 mere end 100 sprog, herunder russisk, kasakhisk, hviderussisk og ukrainsk. Resultatet kan gemmes som almindelig tekst eller i formaterne HTML (hOCR), ALTO (XML), PDF og TSV. Systemet blev oprindeligt skabt i 1985-1995 i laboratoriet hos Hewlett Packard, og i 2005 blev koden \u00e5bnet under Apache-licensen og videreudviklet med deltagelse af medarbejdere fra Google. Kildekoderne til projektet distribueres under Apache 2.0-licensen. <\/p>\n
Tesseract inkluderer et kommandolinjev\u00e6rkt\u00f8j og bibliotektet libtesseract for at integrere tekstgenkendelsesfunktioner i andre applikationer. Blandt de underst\u00f8ttede tredjeparts GUI-gr\u00e6nseflader kan gImageReader, VietOCR og YAGF n\u00e6vnes. Der tilbydes to genkendelsesmotorer: den klassiske, som genkender tekst p\u00e5 niveauet for individuelle tegn, og den nye, der er baseret p\u00e5 brugen af et maskinl\u00e6ringssystem ved hj\u00e6lp af en rekurrent neural netv\u00e6rk LSTM, der er optimeret til genkendelse af hele linjer og tillader en betydelig n\u00f8jagtighedsfor\u00f8gelse. F\u00e6rdige tr\u00e6ningsmodeller er offentliggjort for 123 sprog. For at optimere ydeevnen tilbydes moduler, der anvender OpenMP og SIMD-instruktioner AVX2, AVX, NEON eller SSE4.1. <\/p>\n
De vigtigste forbedringer i 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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