Opentext™ Teleform Release Notes Rev.: June 2020 This Documentation Has Been Created for Software Version 20.3
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Die Bemiddeling Van 21Ste- Eeuse Navorsing in Die Afrikaanse Letterkunde
LitNet Akademies Jaargang 8(2) – Augustus 2011 Die digitalisering van NALN se knipselversameling: Die bemiddeling van 21ste- eeuse navorsing in die Afrikaanse letterkunde Burgert A. Senekal Departement Afrikaans en Nederlands, Duits en Frans Universiteit van die Vrystaat Summary The digitisation of NALN’s collection of newspaper clippings: Enabling 21st century research in Afrikaans literature The contemporary world is an extremely complex environment due to globalisation and the internet. Within this globalised interdependent framework, researchers, both in an academic context and in nonacademic settings such as business, cannot expect to succeed without incorporating resources that extend the reach of the individual's environment and expedite the processing of information. Not only has the amount of information circling the globe increased rapidly over the past two decades, but museums and libraries have had to downsize their staff, which effectively means that fewer resources are available to handle more information and in addition serve a larger population. If the humanities’ basic tasks are “preserving, reconstructing, transmitting, and interpreting the human record” (Frischer 2009:15), technology is the key, enabling research across international borders, distributing data, findings and insights globally, and managing the deluge of information that is characteristic of the 21stcentury world. Within this context, digitisation – the process of converting analogue documents to a digital format – occupies a privileged position, enabling the distribution of information globally (and thereby contributing to information overload), as well as safeguarding the preservation of important historical material. Digitisation has become a global trend, and although many South African heritage institutions have been slow to make the transition from analogue to digital – mainly because of budget constraints – museums and archives in South Africa have realised the potential that digitisation holds, and are now digitising their collections. -
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.