Die Bemiddeling Van 21Ste- Eeuse Navorsing in Die Afrikaanse Letterkunde
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Opentext™ Teleform Release Notes Rev.: June 2020 This Documentation Has Been Created for Software Version 20.3
OpenText™ TeleForm™ Release Notes OpenText TeleForm Documentation Release 20.3 Release Notes OpenText™ TeleForm Release Notes Rev.: June 2020 This documentation has been created for software version 20.3. It is also valid for subsequent software versions as long as no new document version is shipped with the product or is published at https://knowledge.opentext.com. Open Text Corporation 275 Frank Tompa Drive, Waterloo, Ontario, Canada, N2L 0A1 Tel: +1-519-888-7111 Toll Free Canada/USA: 1-800-499-6544 International: +800-4996-5440 Fax: +1-519-888-0677 Support: https://support.opentext.com For more information, visit https://www.opentext.com Copyright © 2020 Open Text. All rights reserved. Trademarks owned by Open Text. One or more patents may cover this product. For more information, please visit, https://www.opentext.com/patents Disclaimer No Warranties and Limitation of Liability Every effort has been made to ensure the accuracy of the features and techniques presented in this publication. However, Open Text Corporation and its affiliates accept no responsibility and offer no warranty whether expressed or implied, for the accuracy of this publication. Page 2 of 3 OpenText TeleForm (20.3) Release Notes Contents 1 Introduction 1 1.1 Release notes revision history 1 2 About TeleForm 2 2.1 New features 2 2.1.1 Recognition enhancements 2 2.1.2 Updated platform support 3 2.1.3 Documentation updates 3 2.2 Discontinued and deprecated features 4 2.2.1 Discontinued platform support 4 2.2.2 Deprecated features 4 3 Packaging and documentation 6 -
Choosing Character Recognition Software To
CHOOSING CHARACTER RECOGNITION SOFTWARE TO SPEED UP INPUT OF PERSONIFIED DATA ON CONTRIBUTIONS TO THE PENSION FUND OF UKRAINE Prepared by USAID/PADCO under Social Sector Restructuring Project Kyiv 1999 <CHARACTERRECOGNITION_E_ZH.DOC> printed on June 25, 2002 2 CONTENTS LIST OF ACRONYMS.......................................................................................................................................................................... 3 INTRODUCTION................................................................................................................................................................................ 4 1. TYPES OF INFORMATION SYSTEMS....................................................................................................................................... 4 2. ANALYSIS OF EXISTING SYSTEMS FOR AUTOMATED TEXT RECOGNITION................................................................... 5 2.1. Classification of automated text recognition systems .............................................................................................. 5 3. ATRS BASIC CHARACTERISTICS............................................................................................................................................ 6 3.1. CuneiForm....................................................................................................................................................................... 6 3.1.1. Some information on Cognitive Technologies .................................................................................................. -
Analiza I Optičko Prepoznavanje Rukopisa S Herbarijskih Etiketa U Zbirci Herbarium Croaticum
SVEUČILIŠTE U ZAGREBU FILOZOFSKI FAKULTET ODSJEK ZA INFORMACIJSKE I KOMUNIKACIJSKE ZNANOSTI KATEDRA ZA ARHIVISTIKU I DOKUMENTALISTIKU Marta Dević Hameršmit Analiza i optičko prepoznavanje rukopisa s herbarijskih etiketa u zbirci Herbarium Croaticum Diplomski rad Mentor: dr. sc. Hrvoje Stančić, red. prof. Neposredni voditelj: Vedran Šegota, dipl. ing. bio. (Botanički zavod, Biološki odsjek, PMF) Zagreb, srpanj 2018. Sadržaj 1. Uvod ....................................................................................................................................... 1 1.1. Optičko prepoznavanje .................................................................................................... 2 1.1.1. Optičko prepoznavanje znakova .............................................................................. 2 1.1.2. Inteligentno prepoznavanje znakova ........................................................................ 3 1.1.3. Prepoznavanje rukopisa ............................................................................................ 4 1.2. Herbarij ............................................................................................................................ 5 1.2.1. Herbarijske zbirke .................................................................................................... 6 1.2.2. Herbarijske etikete .................................................................................................... 6 2. Ciljevi .................................................................................................................................... -
Document Management Solution
Canon’s high-speed DR-Series Scanners are an integral element of Enterprise Content Management solutions. As front-end scan capture hardware components, the scanners’ reliability, performance, and feature-rich functionality are critical for ensuring the accuracy and overall effectiveness of any document OVERVIEW management workflow. Recognizing this, many of the industry’s leading software com- panies have tested Canon’s DR-Series Scanners for compatibility with their products. With this compatibility, customers are ensured the reliability and benefits of a complete document management solution. Moreover, they have the flexibility of selecting a hardware product that will operate effectively with the software applications they’re currently using or implementing. With an extensive portfolio of DR-Series Scanner products designed to target various business applications, customers are assured the best hardware product to suit their needs. From decentralized imaging and desktop scanning workflows to centralized batch processing of high-production workflows, Canon’s DR-Series Scanners are equipped to perform. Compatibility Table WORKGROUP DEPARTMENTAL Canon’s DR-Series Scanners have been tested for compatibility with many of the industry’s leading Enterprise Content Management solution providers. This is a compatibility list that’s I I C C C 0 0 consistently being updated. For the most up-to-date list, please visit Canon U.S.A’s Web site 0 5 8 8 0 5 at , and click on the page of the specific DR-Series Scanner in which 0 2 2 www.usa.canon.com 3 - - - R R R D D you’re interested. D COMPANY SOFTWARE VERSION INTERFACE A2iA A2iA FieldReader v2.4R1 ISIS/TWAIN/KOFAX • Abbyy FineReader v7.0 Corporation TWAIN • AccuSoft Corp. -
Facultad De Ingeniería Escuela De Ingeniería En Ciencias Y Sistemas
Universidad de San Carlos de Guatemala Facultad de Ingeniería Escuela de Ingeniería en Ciencias y Sistemas LA APLICACIÓN DEL RECONOCIMIENTO ÓPTICO DE CARACTERES EN LA INDUSTRIA DEL PROCESAMIENTO MASIVO DE INFORMACIÓN EDDY ROLANDO VELÁSQUEZ CASTILLO ASESORADO POR EL ING. CRESENCIO GERTRUDIS CHAN CANEK Guatemala, Marzo de 2005 UNIVERSIDAD DE SAN CARLOS DE GUATEMALA FACULTAD DE INGENIERÍA LA APLICACIÓN DEL RECONOCIMIENTO ÓPTICO DE CARACTERES EN LA INDUSTRIA DEL PROCESAMIENTO MASIVO DE INFORMACIÓN TRABAJO DE GRADUACIÓN PRESENTADO A JUNTA DIRECTIVA DE LA FACULTAD DE INGENIERÍA POR EDDY ROLANDO VELÁSQUEZ CASTILLO ASESORADO POR EL ING. CRESENCIO GERTRUDIS CHAN CANEK AL CONFERÍRSELE EL TÍTULO DE INGENIERO EN CIENCIAS Y SISTEMAS GUATEMALA, MARZO DE 2006 UNIVERSIDAD DE SAN CARLOS DE GUATEMALA FACULTAD DE INGENIERÍA NÓMINA DE JUNTA DIRECTIVA DECANO Ing. Murphy Olympo Paiz Recinos VOCAL I VOCAL II Lic. Amahán Sánchez Álvarez VOCAL III Ing. Julio David Galicia Celada VOCAL IV Br. Kenneth Issur Estrada Ruiz VOCAL V Br. Elisa Yazminda Vides Leiva SECRETARIA Inga. Marcia Ivonne Véliz Vargas TRIBUNAL QUE PRACTICÓ EL EXAMEN GENERAL PRIVADO DECANO Ing. Sydney Alexander Samuels Milson EXAMINADOR Ing. Luis Alberto Vettorazzi España EXAMINADOR Inga. Virginia Tala EXAMINADOR Ing. Edgar Santos SECRETARIO Ing. Carlos Humberto Pérez Rodríguez HONORABLE TRIBUNAL EXAMINADOR Cumpliendo con los preceptos que establece la ley de la Universidad de San Carlos de Guatemala, presento a su consideración mi trabajo de graduación titulado: LA APLICACIÓN DEL RECONOCIMIENTO ÓPTICO DE CARACTERES EN LA INDUSTRIA DEL PROCESAMIENTO MASIVO DE INFORMACIÓN Tema que me fuera asignado por la Escuela de Ingeniería en Ciencias y Sistemas de la Facultad de Ingeniería en febrero de 2004.