De release van het optische tekstherkenningssysteem Tesseract 4.1 is gepubliceerd. Het ondersteunt het herkennen van UTF-8-tekens en teksten in meer dan 100 talen, waaronder Russisch, Kazachs, Wit-Russisch en Oekra\u00efens. De resultaten kunnen worden opgeslagen als platte tekst, of in de formaten HTML (hOCR), ALTO (XML), PDF en TSV. Het systeem werd oorspronkelijk ontwikkeld tussen 1985 en 1995 in het laboratorium van Hewlett Packard. In 2005 werd de code opengezet onder de Apache-licentie en sindsdien is het verder ontwikkeld met de bijdrage van werknemers van Google. De bronbestanden van het project worden verspreid onder de Apache 2.0-licentie. <\/p>\n
Tesseract bevat een console-tool en de libtesseract-bibliotheek voor het integreren van tekstherkenningsfuncties in andere applicaties. Ondersteunende derde part GUI-interfaces voor Tesseract zijn onder andere gImageReader, VietOCR en YAGF. Er zijn twee herkenningsengines beschikbaar: de klassieke, die tekst herkent op basis van sjablonen van individuele symbolen, en de nieuwe engine, die gebruikmaakt van een op machine learning gebaseerde recurrente neurale netwerk (LSTM), geoptimaliseerd voor het herkennen van volledige regels met een significante toename van de nauwkeurigheid. Voor 123 talen zijn vooraf getrainde modellen gepubliceerd. Voor prestatie-optimalisatie zijn er modules beschikbaar die gebruikmaken van OpenMP en SIMD-instructies zoals AVX2, AVX, NEON of SSE4.1. <\/p>\n
Belangrijkste verbeteringen in Tesseract 5.0: <\/p>\n
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