From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 72999 invoked by alias); 27 Dec 2019 12:34:44 -0000 Mailing-List: contact cygwin-announce-help@cygwin.com; run by ezmlm Precedence: bulk List-Id: List-Subscribe: List-Archive: List-Post: List-Help: , Sender: cygwin-announce-owner@cygwin.com Reply-To: The Cygwin Mailing List Mail-Followup-To: cygwin-announce@cygwin.com Return-Path: Received: (qmail 43736 invoked by uid 89); 27 Dec 2019 05:13:50 -0000 Authentication-Results: sourceware.org; auth=none X-Spam-SWARE-Status: No, score=0.5 required=5.0 tests=AWL,BAYES_00,FREEMAIL_FROM,KAM_NUMSUBJECT,RCVD_IN_DNSWL_NONE,RCVD_IN_SORBS_WEB,SPF_PASS autolearn=no version=3.3.1 spammy=Image, Accuracy, 1995, Google X-HELO: mail-wm1-f51.google.com DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=to:from:subject:message-id:date:user-agent:mime-version :content-transfer-encoding; bh=kvr0TkSkO316t81yca/4gJK9zE7H3mgAuHoidHTfYp8=; b=fMBMFjpNvReCkpn2y0dLoJPy2jRxpNz7SatSl16AxQDgWaCFBTBsckoYBIQb24rPA6 Rvpg8Eg49CgRMNLnXSZsmLQePtcbFbffVpsvFRR0m0PzXbroEMWIuDkkOxA5jf6610TD Et0lb7QRdtE4KVvvMZw442yLVyJjFY//SZvY6r8rsCrVXz1cu2dC9NJVXrB8qz7OIFVJ 9VvlXMsPunyEeC/v//wm9fOrD9bGQajW+179jnVAvfkNEHJzR3MK8SRFU1jbfcztb8j9 cGYkLvW3F4qtbENnjj2584PIJQRg4TUBzPDzo1e6PxJ+s6iB/CTG8byG95pMdjf11qMN PNIQ== Return-Path: To: cygwin-announce@cygwin.com From: Marco Atzeri Subject: Updated: tesseract-ocr-4.1.1-1 Message-ID: Date: Fri, 27 Dec 2019 12:34:00 -0000 User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:68.0) Gecko/20100101 Thunderbird/68.3.1 MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit X-SW-Source: 2019-12/txt/msg00031.txt.bz2 Version 4.1.1- 1 of packages libtesseract-ocr_4 tesseract-ocr tesseract-ocr-devel tesseract-training-util are available in the Cygwin distribution: Other language specific data are available upstream https://github.com/tesseract-ocr/tessdata/ while training data for building new language data are in https://github.com/tesseract-ocr/langdata CHANGES Upstream last release https://github.com/tesseract-ocr/tesseract/releases DESCRIPTION Tesseract is probably the most accurate open source OCR engine available. Combined with the Leptonica Image Processing Library it can read a wide variety of image formats and convert them to text in over 60 languages. It was one of the top 3 engines in the 1995 UNLV Accuracy test. Improved extensively by Google. It is released under the Apache License 2.0. HOMEPAGE https://github.com/tesseract-ocr/ Marco Atzeri If you have questions or comments, please send them to the cygwin mailing list at: cygwin (at) cygwin (dot) com .