BS ISO/IEC 24778:2024 – TC
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Tracked Changes. Information technology. Automatic identification and data capture techniques. Aztec Code bar code symbology specification
Published By | Publication Date | Number of Pages |
BSI | 2024 | 137 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
79 | undefined |
85 | Foreword |
86 | Introduction |
88 | 1 Scope 2 Normative references 3 Terms, definitions, symbols and functions 3.1 Terms and definitions |
89 | 3.2 Symbols and functions 3.2.1 Mathematical symbols 3.2.2 Mathematical functions and operations |
90 | 4 Symbology characteristics 4.1 Basic characteristics 4.2 Summary of additional features |
91 | 5 Symbol description 5.1 Basic Aztec Code properties 5.2 Symbol structure 5.2.1 Aztec code layout |
93 | 5.2.2 Core Symbol |
94 | 5.2.3 Data fields 5.3 Symbol character structure and sequence |
96 | 5.4 Symbol size and capacity |
97 | 6 General encodation procedures |
98 | 7 Symbol structure 7.1 Fixed pattern structures 7.1.1 Fixed pattern types 7.1.2 Finder 7.1.3 Orientation bits 7.1.4 Reference grid 7.2 Mode message encoding and structure 7.2.1 Mode message 7.2.2 Symbol size designator |
99 | 7.2.3 Message length designator 7.2.4 Error encodation for the mode message 7.2.5 Module placement for the mode message 7.3 Data message encoding and structure 7.3.1 Data message |
100 | 7.3.2 Source message encoding |
102 | 7.3.3 Error encodation for the data message 7.3.4 Module placement for the data message |
103 | 8 Structured Append 9 Reader initialization symbols 10 Extended Channel Interpretation (ECI) 10.1 ECI basic information and references |
104 | 10.2 Encoding ECIs in Aztec Code 10.3 Code sets and ECIs 10.4 ECIs and Structured Append 10.5 Post-decode protocol 11 User considerations 11.1 Choice of data and error correction level 11.2 User selection of encoded message |
105 | 11.3 User selection of minimum error correction level 11.4 User selection of Structured Append 11.5 User selection of optional symbol formats 12 Dimensions 13 User guidelines 13.1 Human readable interpretation |
106 | 13.2 Autodiscrimination capability 13.3 User-defined application parameters 14 Reference decode algorithm 14.1 General |
107 | 14.2 Finding candidate symbols 14.3 Processing the bullseye image 14.4 Decoding the Core Symbol 14.4.1 Bullseye mapping of module centres 14.4.2 Mapping and sampling module centres |
108 | 14.4.3 Determining video sign and symbol format 14.4.4 Determining symbol orientation and mirror image reversal 14.4.5 Decoding the mode message 14.5 Decoding the data message 14.5.1 General 14.5.2 Mapping the data layers 14.5.3 Assembling the codewords |
109 | 14.5.4 Checking the codewords 14.6 Translating the datawords 14.6.1 Bit stream conversion and interpretation 14.6.2 Creating the data bit stream 14.6.3 Interpreting the bit stream 15 Symbol quality 15.1 Quality assessment method 15.2 Symbol quality parameters 15.2.1 Fixed pattern damage (FPD) |
110 | 15.2.2 Axial non-uniformity (AN) 15.2.3 Unused error correction 15.2.4 “Print” growth 15.2.5 Grid non-uniformity 15.3 Symbol print quality grading 15.3.1 Symbol grade 15.4 Additional print process control measurements 16 Transmitted data 16.1 Basic interpretation |
111 | 16.2 Protocol for FNC1 16.3 Protocol for ECIs 16.4 Symbology identifier 16.5 Transmitted data example |
113 | Annex A (normative) Aztec Runes |
115 | Annex B (normative) Error detection and correction |
118 | Annex C (normative) Topological bullseye search algorithm |
122 | Annex D (normative) Linear crystal growing algorithm |
123 | Annex E (normative) Fixed pattern damage (FPD) grading |
125 | Annex F (normative) Symbology identifiers |
126 | Annex G (informative) Aztec Code symbol encoding example |
130 | Annex H (informative) Achieving minimum symbol size |
133 | Annex I (informative) Useful process control techniques |
135 | Bibliography |