DOCSLIB.ORG

© in This Web Service Cambridge University Press

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
© in This Web Service Cambridge University Press Cambridge University Press 978-0-521-88839-4 - Barcodes for Mobile Devices Hiroko Kato, Keng T. Tan and Douglas Chai Index More information Index AC coefficient, 168, 169 biometric data, 66, 67, 92, 123 access control, 66 biometric encryption key, 67 Active Book, 98 bitmap (BMP), 166 Active CyberCode, 104, 105 bitwise-XOR operations, 143 Active TRIPboard, 107 blob, 70, 71, 73, 145 adaptive thresholding, 106, 172–174, 176 block code, 131 additive colour space, 124, 160, 161 blog, 31, 45, 115 Advanced Television Systems Committee Bluetooth, 76, 117–119 (ATSC), 131 Bluetooth device address (BD_ADDR), 118 Air Transport Association (ATA), 23, 60 Bose–Chaudhuri–Hochquenghem (BCH) code, 131 alignment failure, 203, 207, 210, 211, 213 bouse, 89 alignment pattern, 52–54, 147 brightness coordinate in colour space, 124 American National Standards Institute (ANSI), 61 bull’s eye, 12, 13, 36, 76, 145 American Standard Code for Information burst error, 54, 131, 137, 140, 141 Interchange (ASCII), 22–24, 33, 35, 36 business card scanner, 91 anti-aliasing, 91, 123, 147 byte compaction mode, 33 application identifier (AI), 41–43 application programming interface (API), 95 area sensor, 28 central circular finder pattern, 146, 155 arm in mCode symbol, 70 centre guard pattern, 24, 112 associative law, 132 charge coupled device (CCD), 12, 28, 31, 45, 58, 89, au (KDDI), 51 91, 97, 110, 122, 149, 158, 214, 215 augmented reality (AR), 31, 94, 97–99, 103–105, 108, 109, 121, 127 camera, 32, 37, 48, 58, 60, 69, 76, 78, 92, 100, Australian Communications and Media Authority 104, 106, 109, 122 (ACMA), 97 imager, 58 authentication, 119, 120 scanner, 28, 42, 45 auto-focus, 120, 215 check bit, 139 automatic identification, 1, 18, 46, 47 check character, 22, 43 automatic identification and data capture (AIDC), 1 check digit, 25 Automatic Identification Manufacturer (AIM), 41 checksum, 22–26 automatic point of sale system (APOSS), 17 chrominance, 163, 164, 168, 171 Automotive Industry Action Group (AIAG), 7 Cincinnati, first barcode system, 11 Aztec code, 95 cipher text, 119 closed circuit television (CCTV), 78 cluster of symbol patterns, 32 baseline coding system, 166, 167 CMY colour space, 161, 162 bearer bar, 22 CMYK colour space, 162, 163, 165 BeeTagg, 51, 82–85, 93, 122, 154 Codabar, 16 Berlekamp–Massey algorithm, 135 Code 128, 2, 7, 20, 23, 24 bijective mapping, 80 Code 39 (3 of 9), 7, 16, 19, 20, 22, 23 binary compaction, 34 code coordinate system, 78–80 binary level, 20–22 code pages, 61, 63, 64 binary mode, 32 codec, 165 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-88839-4 - Barcodes for Mobile Devices Hiroko Kato, Keng T. Tan and Douglas Chai Index More information Index 253 codeword, 32–37, 55, 58, 63, 80, 131, 133–135, database 2D barcode, 50, 59, 70, 73, 93, 127, 130, 138, 139, 141, 149 136, 146, 147, 150, 152 ColorCode, 51, 85–90, 93, 121–123, 139, 146, 150, datablock, 117 153, 155 DC coefficient, 168 colour default mode, 107 gamut, 162 Denso Co., 51 laser, 90 Denso Wave, 51 management, 162, 163, 165 device-dependent colour space, 161 matching, 162, 200, 204, 207, 211, 213, 214 digital camera, 86, 91 matching failure, 210, 211, 213 digital signal processor (DSP), 111 profile, 162, 163 digital video broadcasting (DVB), 131 reversal, 63, 64 direct marking, 38, 39 reversal function, 56 direct part marking, 56, 64 spectrum, 159 discrete code, 21 values, 124 discrete cosine transform (DCT), 166 vision, 158 discrete finder pattern, 146, 155 column parity, 86 distributive law, 132 column version, 34 DNA profiles, 92, 123 Commission Internationale de l’Eclairage, see CIE DoCoMo, 51 Commission on Illumination (CIE), 204 DoD of USA, 8 1931 chromaticity diagram, 162 dot-impact marking, 18 1931 colour space, 160 dot peen marking, 38, 69 1931 XYZ colour space, 160 downhill simplex method, 101 communication noise, 54 downsampling, see subsampling commutative, 132 drag-and-drop, 103 compaction mode, 34 dye submission, 90 complementary metal oxide semiconductor (CMOS) camera, 89 component linkage, 44 e-commerce, 78, 96 compression, 70 e-coupons, 59 cone, 159 e-tickets, 59 context-aware environments, 122 Electronic Commerce Council of Canada continuous code, 21 (ECCC), 40 continuous finder pattern, 146, 155, 156 control area, 86 Electronic Data Interchange (EDI), 6–8 control cell, 86 Electronic Industries Alliance (EIA) 7, 16, 61 control code, 56 EIA-706, 7 convolutional code, 60 EIA-802, 7 Common Object Request Broker Architecture elliptic curve cryptography, 91 (CORBA), 108 encryption, 66, 119 corner stone, 79–81 enhanced error correction (EEC), 37 customer relationship management (CRM), 66 entropy coding, 168, 171 CyberCode, 97, 99–106, 109 error checking and correcting (ECC), 60 cyclic redundancy check (CRC), 90 ECC 000, 60 ECC 000–140, 60–62, 63, 147 ECC 080, 60 dark-on-light printing, 56, 64 ECC 100, 60 data area, 54, 63, 86 ECC 140, 60 data block, 117 ECC 200, 60–64, 147 data compaction, 44, 63 ECC 50, 60 data correction mode, 33 error correction codeword, 34 data disguising, 96 error correction level, 34, 58, 63 Data Matrix, 7, 8, 32, 50, 60–66, 71, 72, 88, 89, 91, H, 55 93, 94, 116, 123, 146, 147, 152, 155, 209 L, 55 Data Matrix ECC 000–140, 62 M, 55 Data Matrix ECC 200, 61–63 Q, 55 DataBar, 19, 32, 41 error detection and correction (EDAC), 66, 68 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-88839-4 - Barcodes for Mobile Devices Hiroko Kato, Keng T. Tan and Douglas Chai Index More information 254 Index error-locator polynomial, 136 Stacked Omnidirectional, 41, 42 error parity check, 87 Truncated, 41 escape sequences, 61 GS1 function character, see FNC1 Euclidean algorithm, 135 GS1-128, 8, 44 Euclidean distance, 149, 188 emulation of, 44 European Article Number (EAN), 6, 9, 15, 16, 19, guide bar, 79–81 20, 24, 40 gyro-mouse, 98 EAN-13, 24–26, 110–112 EAN-8, 24, 26 European Health Industry Business Hamming code, 137–139, 150 Communications Council (EHIBCC), 8 Hamming distance, 80 even parity, 24, 25, 139 Health Industry Business Communications Council even parity check, 76, 77 (HIBCC), 8 EXC mode, 32 helium–neon laser, 13 Exclusive OR, see XOR hexadecimal numbers in Visual Code, 80 Extended ASCII, 36 High Capacity Color Barcode (HCCB), 51, 89–93, extended coding system, 166 122, 123, 126, 147, 150, 153–155, 210 High Energy Magic Inc., 76 high-frequency coefficients, 168–171, 175 HLS colour space, 165 false negative, 157 homogeneous transformation, 81, 186 false positive, 157 homography, 73 FieldMouse, 98, 99, 103, 108 horizontal CCD (HCCD), 214 file identifier, 64 horizontal redundancy check, 140 finder pattern, 36, 43, 52, 58, 61, 70–72, 92, 142, HSB colour space, 124, 125, 165 144–147, 153, 155–157, 174, 181, 183–187, HSI colour space, 165 189, 190, 210, 211 HSV colour space, 124, 165 fingerprint, 92, 123 hue, 124 finite field, 131–133 Huffman coding, 171 first-read rate (FRR), 62, 147, 192, 196, 210, human–computer interaction, 76, 78, 81, 100, 104, 216, 217 107, 127 flag indicator in Visual Code, 81 human visual system (HVS), 168, 169 flatbed scanner, 91 hyperlinks, 66 floating point unit (FPU), 120 FNC1, function character, 43 Food and Drug Administration (FDA), 8 ID-aware pen, 103, 104 ID card, 69 identifier, 76 identity element, 132 Galois field (GF), 131–133 identity function, 132 gamma correction, 158 iGrocer, 110 gamut, 161, 162 independent coding system, 166 Gartner Co., 31 index 2D barcode, 50, 82, 85, 89, 93, 122, 127, 130, general data, in data disguising 96 136, 139, 146, 147, 150, 152, 153 generator matrix, 137, 138 index tag, 76 generator polynomial, 134 InfoPoint, 104 global thresholding, 172, 173 information preserving compression, see lossless Global Trade Item Number (GTIN), 6, 40, 42, 43 compression graphic image format (GIF), 166 InfoStick, see InfoPoint graphical user interface (GUI), 98 infrared ID, 109, 159 GrayCode, 86 inkjet printer, 90 GS1 DataBar, 6, 8, 32, 39–41, 43–45 input, 80 Expanded, 41–44 Intacta Labs, 96 Expanded Stacked, 41–43 INTACTA.CODE, 96 Limited, 41, 43 Interleaved 2 of 5, 6, 19–22 Omnidirectional, 41–43 interleaving, 140, 150, 182 Stacked, 41, 43 interline transfer CCD (IT-CCD), 214 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-88839-4 - Barcodes for Mobile Devices Hiroko Kato, Keng T. Tan and Douglas Chai Index More information Index 255 International Article Numbering (IAN), 6 logo, 70, 88, 145 International Article Numbering Association EAN, 9 longitudinal redundancy check (LRC), 140 International Colour Consortium (ICC), 163 lossless compression, 166 International Electrotechnical Commission (IEC), 1 lossy compression, 164, 166, 177 International ISBN Agency, 9 low-frequency coefficients, 168, 169 International Organization for Standardization luminance, 111, 163, 164, 168 (ISO), 1, 30–32, 34, 36, 41, 43, 61, 63 ISO 2108/1972, 8 ISO 3297/1975, 9 macroPDF417, 34 ISO 8859, 64 magnetic stripe, 11, 46, 48 ISO/IEC 1976 2-2, 1 man-in-the-middle attack (MITM), 119 ISO/IEC16022, 61 masking, 56, 140, 142, 143, 149, 150 ISO/IEC18004, 51 masking pattern, 53, 57, 58 ISO/IEC24724, 41 MATLAB, 174 International Standard Audiovisual Number matrix code, 27, 28, 30 International Agency (ISAN–IA), 92 MaxiCode, 7, 29, 32, 35–37, 94, 145, 154, 155 International Standard Book Number (ISBN), 8, 9 mCode, 50, 69–73, 75, 93, 122, 145 ISBN-10, 9 mCode reader, 70 ISBN-13, 9 mCode system, 70, 73 International Standard Serial Number (ISSN), 9 mean square error (MSE), 196 International
Load more

Recommended publications
  • Mobile Application of Drug Follow-Up Information System with Data Matrix Reader
    International Journal of Applied Mathematics, Advanced Technology and Science Electronics and Computers ISSN: 2147-82282147-6799 http://ijamec.atscience.org Original Research Paper Mobile Application of Drug Follow-up Information System with Data Matrix Reader Hamza Yaraş1, Kübra Uyar*2 Accepted 3rd September 2016 Abstract: The number of products that simplify people’s lives are increasing with the enormous development of the technology. Mobile devices have a great importance for the provision of communication which is one of the most significant need of human beings. Mobile devices have gone beyond to be used originally as a mobile phone purposes and they have begun to be used as a smartphone by taking in charge of computers. They are not only used for communication but also they are used like camera, photo camera, notebook, television and reminder. Google's Android platform is a widely anticipated open source operating system for mobile phones. Google’s Android Operating System (AOS) in mobile phones are still relatively new, however, AOS has been progressing quite rapidly. The increasing number of smartphone users has prepared the ground for the emergence of new ideas to make life easier. Recently, especially some applications in health sector have reflected one of the most important samples. Some of the mobile applications in this field used by humans are about hearing test, vision test, diabetes, pregnancy, and doctor appointment. This paper focuses on following of drugs, taken by patients, through mobile phones. The application running on the AOS provides the use of drugs on time with the alarm system. In addition to this, the application gives information (time, dosage, and name) about drugs by reading data matrix located on the medicine box.
    [Show full text]
  • First Read Rate Analysis of 2D-Barcodes for Camera Phone Applications As a Ubiquitous Computing Tool
    Edith Cowan University Research Online ECU Publications Pre. 2011 2007 First Read Rate Analysis of 2D-Barcodes for Camera Phone Applications as a Ubiquitous Computing Tool Hiroko Kato Edith Cowan University Keng T. Tan Edith Cowan University Follow this and additional works at: https://ro.ecu.edu.au/ecuworks Part of the Engineering Commons 10.1109/TENCON.2007.4428778 This is an Author's Accepted Manuscript of: Kato, H., & Tan, K. (2007). First read rate analysis of 2D-barcodes for camera phone applications as a ubiquitous computing tool. Proceedings of IEEE Tencon (IEEE Region 10 Conference). (pp. 1-4). Taipei, Taiwan. IEEE. Available here © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This Conference Proceeding is posted at Research Online. https://ro.ecu.edu.au/ecuworks/4953 First read rate analysis of 2D-barcodes for camera phone applications as a ubiquitous computing tool. H. Kato and K.T. Tan School of Computer Science and Information Science Edith Cowan University 2 Bradford Street Mount Lawley, WA 6050 AUSTRALIA Abstract- This paper presents a detailed study on the first read In this paper, we present key factors that could enhance the rate (FRR) of seven 2D-barcodes currently used for camera phone robustness and usability of a 2D-barcode system2 based on our applications.
    [Show full text]
  • Generalized Fibonacci Numbers and Applications
    Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics San Antonio, TX, USA - October 2009 Generalized Fibonacci Numbers and Applications Sarkis Agaian Stanford University Student Member, IEEE [email protected] Abstract— The present paper relates to the methods for data efficient, accessible, and secure. Traditionally, barcodes have encoding and the reading of coded information represented by represented data in the widths and spacings of black parallel colored (including monochrome/black, gray) symbols (bars, lines. They are now referred to as linear or 1D (1 dimensional) triangles, circles, or other symbols). It also introduces new barcodes or symbologies. Since such barcodes use two types algorithms for generating secure, reliable, and high capacity of symbol elements, however, they carry a limited amount of color barcodes by using so called weighted n-dimensional random Fibonacci number based representations of data. The information with few security features. As a result, other types representation, symbols, and colors can be used as encryption of symbologies, most notably 2-D and color barcodes, have keys that can be encoded into barcodes, thus eliminating the been developed to offer more capabilities than their linear direct dependence on cryptographic techniques. To supply an counterpart [7]. extra layer of security, one may encrypt given data using different types of encryption methods. 2D barcodes can be broadly classified as either stacked symbology or matrix code. Stacked symbology, also called Keywords—Color barcode, Weighted n-dimensional random multi-row code, is created by “stacking” a series of linear Fibonacci sequences, Fibonacci numbers, Fibonacci p-code, barcode on top of each other.
    [Show full text]
  • Imageman.Net Getting Started
    ImageMan.Net Getting Started 1 ImageMan.Net Version 3 The ImageMan.Net product includes fully managed .Net components providing an easy to use, yet rich imaging toolkit. Fully Managed Assemblies support X-Copy deployment and do not use COM Support for reading/writing many image formats including TIFF, BMP, DIB, RLE, PCX, DCX, TGA, PCX, DCX, JPG, JPEG 2000, PNG, GIF, EMF, WMF, PDF(with optional PDF Export/Import Addon Options), even plug in your own image codecs Object oriented architecture simplifies development. High level functionality allows for quick development while low level classes provide ultimate control Works with the ImageMan.Net Twain controls to easily scan from Twain compatible scanners, cameras and frame grabbers Winforms Viewer, File Open, Thumbnail Viewer, Annotation and Annotation Toolstrip controls Barcode creation and recognition support for 1-d and 2-d barcodes symbologies including QR, Datamatrix, 3 of 9, Codabar, PDF417, Code 3 of 9, Code 3 of 9 Extended, Code 93, EAN-8, EAN-13, UPC-A, UPC-E, Aztec, Interleaved 2 of 5, Codabar and more Document Edition includes royalty free OCR, Annotations and document processing commands including despeckle, border removal, border cleanup and more Supports building client side Winforms and ASP.Net server side applications 32 & 64 bit assemblies for .Net 2.0, .Net 3.x and 4.x Support for Visual Studio 2005, 2008, 2010, 2012 and 2013 Context Sensitive Online Help and Documentation Backed up by Data Techniques professional support staff 1 ImageMan.Net Getting Started ImageMan.Net Getting Started 2 What's New in Version 3 What's new in the Summer Release PDFEncoder & OCR Engine Enhanced the Searchable PDF Support by assuring that the searchable text lines up with the raster image content.
    [Show full text]
  • Putting QR Codes to Work
    Caslon, a PODi Affiliate (Quick Response) Putting QR Codes to Work Steven England Mobile Consultant / Director of Business Development New Media Marketing Who is PODi? Who is Caslon? PODi Mission: Help members build & grow successful businesses using digital print • Printing and Marketing service providers, direct mailers & agencies • Enterprise companies • Consultants and educational organizations • Hardware and software solution providers • Regional industry vendors Caslon, a PODi Affiliate • Caslon creates cutting edge information and resources for Service Providers and Marketers • Manages and builds our community under license from PODi • Develops Case Studies, S3 sales tools, Find a Service Provider, and hosts DEX User Forums and our annual AppForum. Caslon, a PODi Affiliate What can PODi do for YOUR digital business? – Get more leads & promote your company • Connect to customers with Find a Service Provider • Self-Promo-in-a-Box lead generation campaign • Boost your reputation with a Best Practices Award, case study or PODi logo – Increase high-margin business & sell successfully • Energize sales with Digital Print Case Studies • Close more sales with proven S3 Council sales tools & NEW training modules • Learn at free monthly webinars. Plan new strategies with industry reports • NEW Caslon’s DEX S3 Forum – Boost your POD efficiency • NEW Production Central: one-stop resource center for technology support • NEW Caslon’s DEX Tech Forums: HP/Indigo, Kodak, Xerox • NEW Technology Webinars • PPML & CheckPPML_Pro – Save money on expert
    [Show full text]
  • 3. Using Zint Barcode Studio Below Is a Brief Guide to Zint Barcode Studio Which Is the Graphical User Interface for the Zint Package
    Zint Barcode Generator and Zint Barcode Studio User Manual This document is a backup of the user manual information which was formerly held at the website http://www.zint.org.uk. You are free to distribute this document, copy it or any part of it and reproduce it by any means or in any medium as you see fit as long as you also acknowledge the fact that it is covered by the following copyright: © Robin Stuart 2006 – 2011 (In other words I'm happy for you to treat it as a public domain document as long as you don't take credit for it!) This version of the manual relates to Zint version 2.4.2. 1. Introduction The Zint project aims to provide a complete cross-platform open source barcode generating solution. The package currently consists of a Qt based GUI, a command line executable and a library with an API to allow developers access to the capabilities of Zint. It is hoped that Zint provides a solution which is flexible enough for professional users while at the same time takes care of as much of the processing as possible to allow easy translation from input data to barcode image. The library which forms the main component of the Zint project is currently able to encode data in over 50 barcode symbologies (types of barcode), for each of which it is possible to translate that data from either Unicode (UTF-8) or a raw 8-bit data stream. The image can be rendered as either a Portable Network Graphic (PNG) image, as Encapsulated Post Script (EPS) or as a Scalable Vector Graphic (SVG).
    [Show full text]
  • Bagging Equipment Thermal Ribbon Printers
    Bagging Equipment Thermal Ribbon Printers For printing various data + Barcodes, code, ingredients, product names etc onto film prior to bagging The high performance, low cost thermal transfer printers are versatile enough for printing fixed and variable text, data and graphics. It is ideal for reproducing bar codes, real time, sell-by dates, batch numbers, prices, source codes and much more. Two component models of brackets (Intermittent & Continuous) can be easily integrated to the machines such as vertical and horizontal form-fill-seal systems, primary labellers, thermo formers and overwrapping equipment. The units are suitable for all intermittent and continuous applications within the food, pharmaceutical cosmetics and automobile spare parts industries has the capability to code all kinds of 1D barcodes and 2D data matrix codes. Features Intermediate and continuous models available Patented long life mechanical design needs no maintenance 107mm – 75mm models for Intermittent print area 600 m. Ribbon Capacity 300 dpi (12 dot/inch) Print Quality Up to 400mm per/second print speed Large memory for all label formats to be stored locally The USB can be used to transfer messages between printers and through computer too Loynds International Ltd Units 2-8 Arkwright Court | Blackpool and Fylde Industrial Estate | Blackpool, England, FY4 5DR T: +44 (0)1253882961 | E: [email protected] | W: www.loynds.co.uk Model 32 C 32-50 I 53-50 I 32 C 32-70 I 53 C 53-70 I 53-125 I 107 C 107-75 I 107-125 I 107mm x 125mm 32mm x 125mm 53mm x 125mm (Standard) (Standard) (Standard) 107mm x 32mm x 250mm 53mm x 250mm 250mm 107mm x Print Area 32mm x 125mm 32mm x 50mm 53mm x 50mm (Optional) 32mm x 70mm (Optional) 53mm x 70mm 53mm x 125mm (Optional) 107mm x 75mm 125mm Max.
    [Show full text]
  • Experience and Sociocultural Aspects of Using QR Code in Green Areas
    U. Cocchi, V. Vaitkutė Eidimtienė / Miestų želdynų formavimas 2017 1(14) 14–22 Experience and Sociocultural Aspects of Using QR code in Green Areas Umberto Cocchi1, Vaida Vaitkutė Eidimtienė*2 1Umberto Cocchi Consulting, Piazza Unità d‘Italia 20 – I-35023 Bagnoli di Sopra (Padua), Italy. E-mail [email protected] 2Architecture, Art and Design Department, Klaipėda University K. Donelaičio sq. 5, LT-92144, Klaipeda, Lithuania 2Kaunas Forestry and Environmental Engineering University of Applied Sciences Liepų str. 1, LT-53101 Girionys, Lithuania. E-mail [email protected] (Received in January, 2017; Accepted in April, 2017; Available Online from 8th of May, 2017) Abstract QR code or quick response code, or matrix code, is the information storage system, used for different purposes since 1994. The code contains information (text, digits, internet links, any other information), which is read by using QR scanners or mobile phones. Changing needs of the society and developing technologies determined the emergence of QR codes formats. However, for the day being the code under discussion is dominating by the popularity of its use (identification of goods, information provided on notice boards, leaflets, business cards, advertising brochures, information stands). One of a more interesting ways is encountered in green areas of cities, which can be of different kind: educational, recreational, artistic. The article deals with the ways of using QR (quick response code) in green areas and introduces the research data. Key words:QR code, green areas, socio-culture, education, recreation. Anotacija QR kodas, kitaip „greitojo atsako“ arba reagavimo matricos kodas – informacijos laikmena, naudojama įvairiais tikslais nuo 1994 metų.
    [Show full text]
  • 2D-Code Fibel 2017.Indd
    2D-Code Fibel Die vorliegende Broschüre wurde mit größter Sorgfalt zusam- mengestellt. Trotzdem können Fehler nie vollständig ausge- schlossen werden. Die Autoren und die Firma können für fehler- hafte Angaben und deren Folgen keine Haftung übernehmen. Änderungen behalten wir uns vor. Vervielfältigungen, auch auszugsweise, nur mit Genehmigung durch BARCODAT GmbH. Erste Auflage, März 1998 Zweite Auflage, September 2000 Dritte Auflage, April 2003 Vierte Auflage, Juni 2004 Fünfte Auflage, Januar 2007 Sechste Auflage, Januar 2011 Siebte Auflage, Oktober 2013 BARCODAT GmbH Robert-Bosch-Straße 13 72280 Dornstetten Tel. +49 74 43 / 96 01 - 0 [email protected] www.barcodat.com 2 2D-Code Fibel 3 Vorwort zur 7. Auflage Daten automatisch erfassen und in vielfältige Konzepte umset- zen gewinnt immer mehr an Bedeutung. Gefordert wird, mög- lichst große Datenmengen auf möglichst kleinen Flächen un- terzubringen. Diese sollen dann auch noch sicher gelesen und weiterverarbeitet werden können. In den späten 80ern begann man im Bereich Barcode, neue Wege zu gehen. Die ersten gestapelten (stacked) Barcodes wurden entwickelt, in den 90ern kamen die 2D- oder auch Matrix-Codes dazu. Inzwischen tummeln sich nach vorsichtigen Schätzungen über 50 Symbologien auf dem Markt. Durchge- setzt haben sich fast ausschließlich lediglich Data Matrix ECC 200 und PDF 417, die von der Industrie als Standard anerkannt werden. Diese Codes finden vielfältige Verwendung, z. B. in der Automobilzulieferindustrie (Odette-Label), im Gesundheits- wesen und anderen Bereichen. Die Entwicklung in Richtung größere Datenkapazitäten geht auch weiter. Hierzu werden zunehmend farbige Codes genutzt (HCCB, farbiger QR Code, farbiger Trillcode). Neu ist die Verwendung von 2D-Codes zur Verwendung mit Smartphones oder Webcam.
    [Show full text]
  • An Efficient Bar Code Recognition Engine for Enabling Mobile Services
    Research Collection Doctoral Thesis An Efficient Bar Code Recognition Engine for Enabling Mobile Services Author(s): Adelmann, Robert Publication Date: 2011 Permanent Link: https://doi.org/10.3929/ethz-a-6665246 Rights / License: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Diss. ETH Nr. 19721 An Efficient Bar Code Recognition Engine for Enabling Mobile Services A dissertation submitted to ETH Zurich for the degree of Doctor of Sciences presented by Robert Adelmann Diplom-Informatiker, Albert-Ludwigs-University Freiburg born October 01, 1977 citizen of Germany accepted on the recommendation of Prof. Dr. Friedemann Mattern, examiner Prof. Dr. Elgar Fleisch, co-examiner Prof. Dr. Michael Rohs, co-examiner 2011 2 | Abstract Abstract | 3 Abstract In the area of pervasive computing, mobile phones have evolved into attrac- tive development platforms that show considerable potential when it comes to bridging the often-cited gap between the real and virtual world. They are ubiquitous, highly mobile, provide significant computing power, and increas- ingly also offer an abundance of built-in sensors. With the general availability of smartphones and affordable data rates, consumers are beginning to use their mobile phones to interact with physical products found in stores in or- der to access product-related information and services. To support this inter- action, consumer-oriented mobile applications require a fast and convenient way to identify products. Even though Near Field Communication (NFC) and Radio-Frequency Identification (RFID) technology is very promising for that purpose, the widespread use of RFID tags on retail products remains unlikely for the next years.
    [Show full text]
  • Pervasive 2D Barcodes for Camera Phone Applications
    Edith Cowan University Research Online ECU Publications Pre. 2011 2007 Pervasive 2D Barcodes for Camera Phone Applications Hiroko Kato Edith Cowan University Keng T. Tan Edith Cowan University Follow this and additional works at: https://ro.ecu.edu.au/ecuworks Part of the Computer Sciences Commons 10.1109/MPRV.2007.80 This is an Author's Accepted Manuscript of: Kato, H., & Tan, K. (2007). Pervasive 2D Barcodes for Camera Phone Applications. IEEE Pervasive Computing: Mobile and Ubiquitous Systems, 6(4), 76-85. Available here © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This Journal Article is posted at Research Online. https://ro.ecu.edu.au/ecuworks/1507 MOBILE COMPUTING Pervasive 2D Barcodes for Camera Phone Applications As 2D barcodes gain popularity, do we need to determine a global standard for camera phone applications? If so, which barcode is best? wo inventions have contributed to So, in a previous study, we evaluated six 2D bar- the commercial viability of perva- codes using eight criteria for standardization sive 2D barcodes: CyberCode1 and potential: omnidirectional symbol reading, sup- J-SH09. In 2000, Sony introduced port for low-resolution cameras, reading robust- CyberCode—one of the earliest uses ness under different lighting conditions, barcode Tof a 2D barcode for developing a visual tagging reading distance, error correction capability, secu- system.
    [Show full text]
  • Introduction Into Barcodes BY
    WWW.BYTESCOUT.COM Introduction Into Barcodes BY ByteScout 2014 An introduction to the world of barcodes. Written for the Business Owners and Software Developers who want to get basic understanding of barcodes. Table of Contents Preface _____________________________________________________________________ iii 1. Introduction ______________________________________________________________ 1 1.1 What are barcodes? __________________________________________________________ 1 1.2 Why use barcodes? __________________________________________________________ 1 1.3 What are applications of barcodes? _____________________________________________ 2 2. Categories of barcodes _____________________________________________________ 2 2.1 One Dimensional Barcodes ____________________________________________________ 3 2.2 Two Dimensional Barcodes ____________________________________________________ 3 3. One Dimensional/ Linear Barcodes ___________________________________________ 4 3.1 Code 39 ____________________________________________________________________ 4 3.2 Code 93 ____________________________________________________________________ 5 3.3 Code 128 ___________________________________________________________________ 6 3.4 EAN 13 _____________________________________________________________________ 7 3.5 EAN 14 _____________________________________________________________________ 9 3.6 EAN2 EAN5 and Their Usage with EAN13 ________________________________________ 10 3.7 Codabar Barcode ___________________________________________________________ 12
    [Show full text]