{"id":103459,"date":"2022-03-02T09:36:50","date_gmt":"2022-03-02T07:36:50","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-5-1"},"modified":"2022-03-02T09:36:50","modified_gmt":"2022-03-02T07:36:50","slug":"reliz-sistemy-raspoznavaniya-teksta-tesseract-5-1","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/reliz-sistemy-raspoznavaniya-teksta-tesseract-5-1","title":{"rendered":"Rilascio del sistema di riconoscimento del testo Tesseract 5.1","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 stato pubblicato il rilascio del sistema di riconoscimento ottico dei caratteri Tesseract 5.1, che supporta il riconoscimento dei caratteri UTF-8 e testi in oltre 100 lingue, inclusi russo, kazako, bielorusso e ucraino. I risultati possono essere salvati sia in formato testo semplice che nei formati HTML (hOCR), ALTO (XML), PDF e TSV. Il sistema \u00e8 stato originariamente creato tra il 1985 e il 1995 nel laboratorio della Hewlett Packard, nel 2005 il codice \u00e8 stato reso open source sotto licenza Apache e successivamente \u00e8 stato sviluppato con la partecipazione di ingegneri della Google. I testi sorgente del progetto sono distribuiti sotto la licenza Apache 2.0.      <\/p>\n<p> Tesseract include un'utilit\u00e0 da console e la libreria libtesseract per integrare le funzionalit\u00e0 di riconoscimento del testo in altre applicazioni. Tra le interfacce GUI di terze parti che supportano Tesseract, si possono notare gImageReader, VietOCR e YAGF. Vengono offerti due motori di riconoscimento: uno classico, che riconosce il testo a livello di modelli di singoli caratteri, e uno nuovo, basato sull'applicazione di un sistema di apprendimento automatico basato su reti neurali ricorrenti LSTM, ottimizzato per il riconoscimento dell'intera riga e che consente di ottenere un notevole aumento della precisione. Modelli pre-addestrati sono stati pubblicati per 123 lingue. Per ottimizzare le prestazioni, sono disponibili moduli che utilizzano OpenMP e istruzioni SIMD AVX2, AVX, NEON o SSE4.1.     <\/p>\n<p>Principali miglioramenti in Tesseract 5.1:  <\/p>\n<ul>\n<li class=\"l\"> Implementata la possibilit\u00e0 di elaborare aree con immagini e linee durante l'output nei formati ALTO, hOCR e text.\n<li class=\"l\"> Aggiunto un nuovo parametro curl_timeout lkz curl_easy_setop.\n<li class=\"l\"> Migliorato il sistema di compilazione.\n<li class=\"l\"> Sono stati eliminati codici non utilizzati.\n<li class=\"l\"> Risolti i crash causati da un'errata gestione dei puntatori nulli nella classe PageIterator::Orientation.    <\/ul>\n<p>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56788\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d 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