1、Juni 2011 Normenausschuss Informationstechnik und Anwendungen (NIA) im DINPreisgruppe 99DIN Deutsches Institut fr Normung e. V. Jede Art der Vervielfltigung, auch auszugsweise, nur mit Genehmigung des DIN Deutsches Institut fr Normung e. V., Berlin, gestattet.ICS 35.040!$o:N“1762343www.din.deDEs wir
2、d empfohlen, auf der betroffenen Normeinen Hinweis auf diese Berichtigung zumachen.DIN EN ISO/IEC 15415 Berichtigung 1Informationstechnik Automatische Identifikation und Datenerfassungsverfahren Testspezifikation fr Strichcode-Druckqualitt 2D-Symbole(ISO/IEC 15415:2004);Englische Fassung EN ISO/IEC
3、15415:2005,Berichtigung zu DIN EN ISO/IEC 15415:2005-11;Englische Fassung EN ISO/IEC 15415:2005/AC:2011Information technology Automatic identification and data capture techniques Bar code print quality test specification Two-dimensional symbols(ISO/IEC 15415:2004);English version EN ISO/IEC 15415:20
4、05,Corrigendum to DIN EN ISO/IEC 15415:2005-11;English version EN ISO/IEC 15415:2005/AC:2011Technologies de linformation Techniques automatiques didentification et de capture des donnes Spcification de test de qualit dimpression des symboles de code barres Symbolesbi-dimensionnels (ISO/IEC 15415:200
5、4);Version anglaise EN ISO/IEC 15415:2005 ,Corrigendum DIN EN ISO/IEC 15415:2005-11;Version anglaise EN ISO/IEC 15415:2005/AC:2011Alleinverkauf der Normen durch Beuth Verlag GmbH, 10772 Berlin www.beuth.deGesamtumfang 7 SeitenDIN EN ISO/IEC 15415 Ber 1:2011-06 In DIN EN ISO/IEC 15415:2005-11 sind au
6、fgrund der europischen Berichtigung EN ISO/IEC 15415:2005/AC:2011 (enthlt die von ISO/IEC verteilte Berichtigung ISO/IEC 15415:2004/Cor.1:2008) folgende Korrekturen vorzunehmen: Foreword This document (EN ISO/IEC 15415:2005/AC:2011) has been prepared by Technical Committee JTC 1 Information technolo
7、gy“ in collaboration with Technical Committee CEN/TC 225 AIDC technologies” the secretariat of which is held by NEN. Endorsement notice The text of ISO/IEC 15415:2004/Cor. 1:2008 has been approved by CEN as a EN ISO/IEC 15415:2005/AC:2011 without any modification. Replace 7.8.4 with the following: 7
8、.8.4 Modulation and related measurements 7.8.4.1 Modulation Modulation is a measure of the uniformity of reflectance of the dark and light modules respectively. Factors such as print growth (or loss), misplacement of a module relative to the grid intersection, the optical characteristics of the subs
9、trate and uneven printing may reduce the difference between the reflectance of a module and the Global Threshold. A low Modulation may increase the probability of a module being incorrectly identified as dark or light. The reflectance value of each module in the symbol shall be measured by superimpo
10、sing on the reference grey-scale image the grid determined by applying the symbology reference decode algorithm to the binarised image. Calculate MOD, the Modulation value of each module as follows: MOD = 2 * (abs (R GT) / SC where MOD = modulation R is the reflectance of the module GT is the Global
11、 Threshold SC is the Symbol Contrast Assign the grade level for each module according to Table 6. For each codeword, select the minimum modulation grade of all modules in the codeword. As suggested by the absolute value in the function for MOD, whether a codeword is decoded correctly has no bearing
12、on the grade level that is assigned. In this way, Modulation differs from Reflectance Margin, see 7.8.4.3. 2 DIN EN ISO/IEC 15415 Ber 1:2011-06 Table 6 Module grading for Modulation and Reflectance Margin MOD or MARGIN Module Grade 0,50 4 0,40 3 0,30 2 0,20 1 0,20 0 The cumulative number of codeword
13、s achieving each grade shall be counted and compared with the error correction capacity of the symbol as follows: For each grade level, assuming that all codewords not achieving that grade or a higher grade are errors, derive a notional Unused Error Correction grade as described in 7.8.8. Take the l
14、ower of the grade level and the notional UEC grade. NOTE This notional grade is not related to, and does not affect, the UEC grade for the symbol as calculated according to 7.8.8, but is a means of compensating for the extent to which error correction can mask imperfections in a symbol. If one symbo
15、l has higher error correction capacity than another symbol, then the former symbol can tolerate a greater number of codewords with low modulation than the latter. See Annex F for a fuller description of the approach. Then the Modulation grade for the symbol shall be the highest of the resulting valu
16、es for all grade levels. When the symbol consists of more than one (e.g. interleaved) error correction block, each block shall be assessed independently and the lowest grade for any block shall be taken as the Modulation grade of the symbol. Table 7 shows an example of grading Modulation in a symbol
17、 containing 120 codewords, 60 of which are error correction codewords with a capacity to correct up to 30 errors in a single error correction block. Modulation grade of the symbol in the example would be 2 (the highest value in the right-hand column). 3 DIN EN ISO/IEC 15415 Ber 1:2011-06 Table 7 Exa
18、mple of Modulation grading in a two-dimensional matrix symbol MOD codeword grade level (a) No. of codewords at level a Cumulative no. of codewords at level a or higher (b) Remaining codewords (treated as errors) (120 - b) (c) Notional unused error correction capacity (30 c) Notional UEC (%) Notional
19、 UEC grade (d) Lower of a or d (e) 4 25 25 95 (exceeded) 0 0 0 3 75 100 20 10 33,3% 1 1 2 15 115 5 25 83,3% 4 2 1 3 118 2 28 93,3% 4 1 0 2 120 0 30 100% 4 0 Modulation grade (Highest value of e): 2 In this example, some codewords may contain errors but that does not affect the calculation. 7.8.4.2 C
20、ontrast Uniformity Contrast Uniformity is an optional parameter that can be a useful process control tool for measuring localized contrast variations. Contrast Uniformity does not affect the overall grade. Contrast Uniformity is defined as the minimum MOD value found in any module contained in the d
21、ata region of the symbol in 7.8.4.1. 7.8.4.3 Reflectance Margin Reflectance Margin is a measure of how well each module is correctly distinguishable as light or dark in comparison to the global threshold. Factors such as print growth (or loss), misplacement of a module relative to the grid intersect
22、ion, the optical characteristics of the substrate, uneven printing, or encodation errors, may reduce or even eliminate the margin for error between the reflectance of a module and the Global Threshold. A low Reflectance Margin may increase the probability of a module being incorrectly identified as
23、dark or light. The reflectance value of each module in each codeword in the symbol shall be measured by superimposing on the reference grey-scale image the grid determined by applying the symbology reference decode algorithm to the binarised image. Since the correct state of each module is known aft
24、er decoding, any modules which are decoded incorrectly are assigned a MARGIN value of 0. For modules whose correct state is light: MARGIN = 2 * (R GT) / SC for R GT MARGIN = 0 for R GT and for modules whose correct state is dark: MARGIN = 2 * (GT R) / SC for R GT MARGIN = 0 for R GT Where MARGIN = t
25、he reflectance margin of the module R is the reflectance of the module GT is the Global Threshold SC is the Symbol Contrast 4 DIN EN ISO/IEC 15415 Ber 1:2011-06 Assign the grade level for each module according to Table 6. For each codeword, select the minimum grade for MARGIN of all modules in the c
26、odeword. Since codewords which are misdecoded are given grade level of 0, Reflectance Margin differs from Modulation, see 7.8.4.1. The cumulative number of codewords achieving each grade shall be counted and compared with the error correction capacity of the symbol as follows: For each grade level,
27、assuming that all codewords not achieving that grade or a higher grade are errors, derive a notional Unused Error Correction grade as described in 7.8.8. Take the lower of the grade level and the notional UEC grade. NOTE This notional grade is not related to, and does not affect, the UEC grade for t
28、he symbol as calculated according to 7.8.8, but is a means of compensating for the extent to which error correction can mask imperfections in a symbol. If one symbol has higher error correction capacity than another symbol, then the former symbol can tolerate a greater number of codewords with low m
29、odulation than the latter. See Annex F for a fuller description of the approach. Then the Reflectance Margin grade for the symbol shall be the highest of the resulting values for all grade levels. Table Cor.1-1 shows an example of grading Reflectance Margin in a symbol containing 120 codewords, 60 o
30、f which are error correction codewords with a capacity to correct up to 30 errors in a single error correction block. The Modulation grade of the symbol in the example would be 2 (the highest value in the right-hand column). Table Cor.1-1 Example of Reflectance Margin grading in a two-dimensional ma
31、trix symbol, applying overlay procedure in Annex F MARGIN codeword grade level (a) No. of codewords at level a Cumulative no. of codewords at level a or higher (b) Remaining codewords (treated as errors) (120 - b) (c) Notional unused error correction capacity (30 - c) Notional UEC (%) Notional UEC g
32、rade (d) Lower of a or d (e) 4 15 15 105 (exceeded) 0 0 0 3 70 85 35 (exceeded) 0 0 0 2 15 100 20 10 33,3% 1 1 1 5 105 15 15 50% 3 1 0 15 120 0 30 100% 4 0 Reflectance Margin grade (Highest value of e): 1 This example represents values from the same symbol used in Table 7. However, in this example t
33、en codewords from level 4 and five codewords from level 3 are detected to contain at least one module which is on the wrong side of the global threshold and are therefore errors. These codewords are therefore counted at level 0 in this example. The resulting grade too is changed significantly. 5 DIN
34、 EN ISO/IEC 15415 Ber 1:2011-06 Replace Annex F with the following: Annex F (informative) Parameter grade overlay applied to two-dimensional symbologies This Annex describes the technique used in this International Standard to derive a final grade for a parameter from a set of notional grades determ
35、ined for a set of grade levels, each determined at five fixed grade levels for the parameter. The technique computes a notional grade for a parameter for each grade level by assuming that only modules or codewords that meet or exceed that grade level for that parameter are actually readable. The mod
36、ules or codewords which are readable then result in a grade for that parameter according to the rules for that parameter (whether based on unused error correction or fixed pattern damage). If one considers what the performance would be for a scanner that could only read codewords or modules above a
37、particular parameter grade level, it is clear what will happen only codewords or modules at or above that grade level may be counted towards the readability calculation for the symbol at that grade level. For example, if codewords or modules with a grade of 2 must be counted before a grade of 3 on u
38、nused error correction or fixed pattern damage may be obtained, then the symbol must be a grade 2. Furthermore, if codewords graded 3 or better can only result in an unused error correction or fixed pattern damage level of 2, the symbol must also be a grade 2. However, the readability of a symbol mu
39、st take into account the readability of codewords or modules at each grade level and the ability of the symbol to be read using error correction or allowing for some fixed pattern damage and the resulting grade should be the highest of these two possible outcomes. The following procedure can therefo
40、re be established: a) Count the number of codewords in each grade level, including higher grade levels, assume that all remaining codewords are erasures (multi-row symbols) or errors (matrix symbols) and determine an unused error correction or fixed pattern damage grade. b) For each grade level, tak
41、e the lower of the grade level and the associated unused error correction or fixed pattern damage parameter grade. c) Select the highest of the values from step b as the symbol grade for that parameter. This ensures that a scanner will have performance associated with the assigned grade because the
42、scanners ability to read codewords or modules of the assigned grade or higher will bring it within the error correction or fixed pattern damage capacity of the assigned grade level or better. This method provides a way of accounting for imperfections in symbols which are designed to tolerate imperfe
43、ctions. In fact, it favours symbols with more error correction capacity, which certainly does make a symbol easier to read. It also reconciles the print quality measurement method of linear symbols with that of 2D symbols. In a sense the linear approach, which takes the worst case, is the trivial ex
44、tension of the above rule in the case of no error correction. In this case, the codeword with lowest grade is always needed to get anything other than a 0 for unused error correction“. If this value happens to be a 1, then the symbol must be a 1, even if all other codewords had quality of 4. 6 DIN E
45、N ISO/IEC 15415 Ber 1:2011-06 7 This International Standard defines two parameters for matrix symbologies: “Modulation” and Reflectance Margin” which make use of the technique described herein. However, they differ in that Reflectance Margin counts modules which are determined to be the wrong color
46、state against the error correction budget whereas modulation does not. When the grade for Reflectance Margin is less than the grade for Modulation there is likely an error in the encodation of the modules or there is a substantial problem with the printing mechanism. Additionally, an optional parame
47、ter called Contrast Uniformity is defined for process control which reports the worst case modulation value of any data module. NOTE The notional Unused Error Correction or Fixed Pattern Damage grade used in this calculation is not related to, and does not affect, the UEC or Fixed Pattern Damage grade for the symbol as calculated according to 7.8.8 or 7.8.5, respectively.
