\u00cbsht\u00eb publikuar versioni 4.1 i sistemit t\u00eb njohjes optike t\u00eb tekstit Tesseract, i cili mb\u00ebshtet njohjen e karaktereve UTF-8 dhe t\u00eb 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 thjesht\u00eb, ashtu edhe n\u00eb formatet HTML (hOCR), ALTO (XML), PDF dhe TSV. Fillimisht, sistemi u krijua n\u00eb vitet 1985-1995 n\u00eb laboratorin e Hewlett Packard; 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 Google. Kodet burimore t\u00eb projektit shp\u00ebrndahen n\u00ebn licenc\u00ebn Apache 2.0. <\/p>\n
Tesseract p\u00ebrfshin nj\u00eb mjet konzole dhe bibliotek\u00ebn libtesseract p\u00ebr integrimin e funksioneve t\u00eb njohjes s\u00eb tekstit n\u00eb aplikacione t\u00eb tjera. Nd\u00ebr nd\u00ebrfaqet GUI t\u00eb pal\u00ebve t\u00eb treta q\u00eb mb\u00ebshtesin Tesseract mund t\u00eb ve\u00e7ohen gImageReader, VietOCR dhe YAGF. Ofrohen dy motor\u00eb njohjeje: ai klasik, q\u00eb njeh tekstin n\u00eb nivelin e modeleve t\u00eb karaktereve individuale, dhe nj\u00eb i ri, i bazuar n\u00eb p\u00ebrdorimin e nj\u00eb sistemi t\u00eb m\u00ebsimit makinerik me rrjet nervor rekurent LSTM, i optimizuar p\u00ebr njohjen e rreshtave t\u00eb plot\u00eb dhe q\u00eb mund\u00ebson rritje t\u00eb ndjeshme t\u00eb sakt\u00ebsis\u00eb. Jan\u00eb publikuar modele t\u00eb gatshme t\u00eb trajnuara p\u00ebr 123 gjuh\u00eb. P\u00ebr optimizimin e performanc\u00ebs ofrohen module q\u00eb p\u00ebrdorin OpenMP dhe instruksionet SIMD AVX2, AVX, NEON ose SSE4.1. <\/p>\n
P\u00ebrmir\u00ebsimet kryesore n\u00eb Tesseract 5.0: <\/p>\n
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