WO2018077059A1 - 一种条形码的识别方法和装置 - Google Patents
一种条形码的识别方法和装置 Download PDFInfo
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- WO2018077059A1 WO2018077059A1 PCT/CN2017/106483 CN2017106483W WO2018077059A1 WO 2018077059 A1 WO2018077059 A1 WO 2018077059A1 CN 2017106483 W CN2017106483 W CN 2017106483W WO 2018077059 A1 WO2018077059 A1 WO 2018077059A1
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- WIPO (PCT)
- Prior art keywords
- barcode
- character string
- row
- character
- string
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10712—Fixed beam scanning
- G06K7/10722—Photodetector array or CCD scanning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1413—1D bar codes
Definitions
- the present application relates to the field of computer technologies, and in particular, to a method and an apparatus for identifying a barcode.
- barcodes have entered people's lives. Through the scanning and identification of barcodes, various services such as payment, adding friends, and obtaining information can be completed.
- the recognition rate of bar codes has become an important measure of the user's business experience.
- the present application provides a method and apparatus for identifying a barcode.
- a method for identifying a barcode comprising:
- the first character string When the first character string satisfies a preset character rule, the first character string is determined as a recognition result of the barcode in the barcode picture.
- a barcode identification device comprising:
- a pixel extraction unit that extracts a row of pixel points in the barcode image according to a preset extraction strategy
- a pixel point analysis unit that parses the row of pixels to obtain a corresponding first character string
- the first identifying unit determines the first character string as the recognition result of the barcode in the barcode image when the first character string satisfies a preset character rule.
- the present application can determine the character string when the character string corresponding to one row of pixels in the barcode image satisfies the character rule. For the recognition result of the barcode, it is not necessary to analyze it multiple times. The recognition rate of the barcode is increased.
- FIG. 2 is a schematic flow chart of another method for identifying a barcode according to an exemplary embodiment of the present application.
- the first character string parsed in step 102 in order to improve the accuracy of barcode recognition, when the first character string parsed in step 102 does not satisfy the preset character rule, And determining whether the first character string is the same as the second character string corresponding to another row of pixels other than the row corresponding to the first character string extracted in the barcode image last time according to the extraction policy, and When the first character string is identical to the second character string, the first character string is determined as a recognition result of the barcode.
- the barcode is recognized by the method shown in FIG.
- the erroneous problem when the first character string parsed in step 102 does not satisfy the preset character rule, it can continue to determine whether the parsing results of the pixels extracted twice consecutively are consistent, and if they are consistent, they can be consistent. The analysis result is confirmed as the recognition result of the barcode to improve the accuracy of barcode recognition.
- the pixel may be extracted based on the preset extraction policy, and it is determined whether the character string corresponding to the extracted pixel point satisfies the character rule until the character string corresponding to the pixel of the row satisfies the character rule. Or the string corresponding to the pixel extracted twice in succession is consistent.
- the present application can determine whether the character strings corresponding to the pixels extracted consecutively are the same, and determine the same character string as the barcode identification. As a result, the accuracy of barcode recognition is further improved.
- the character string carried by the barcode cannot be recognized based on the character rule, it is also possible to determine whether the string corresponding to the pixel extracted three or four consecutive times is the same, and The same character string is used three or four times in succession as the recognition result of the barcode, and the present application does not specifically limit this.
- the target extraction line exceeds the barcode image
- the barcode recognition result is not determined based on the foregoing character rule and the same two consecutive strings
- the statistically resolved result may be obtained.
- the frequency of occurrence of each character string, and the character string with the largest frequency and greater than 1 is determined as the recognition result of the barcode in the barcode picture. For example, suppose that two strings have been parsed, namely string A and string B, string A appears 3 times, and string B appears once, then string A can be determined as the barcode recognition result.
- the present invention can additionally identify the barcode image that cannot be identified in the foregoing manner, thereby improving the accuracy of barcode recognition.
- the frequency of determining the barcode recognition result may be set to be greater than 2 or greater than 3, etc., to further improve the accuracy of barcode recognition, for example, for a barcode that does not include a check code, Set a larger frequency of occurrences.
- the frequency of occurrence of each character string that has been parsed is 1, the barcode recognition failure can be determined.
- the target extraction line exceeds the barcode picture, if any character string is still not resolved, it can be determined that the barcode recognition has failed.
- the barcode is recognized at the fastest rate based on the character rule, and most of the barcode can be identified. Therefore, the present application can first identify the barcode based on the character rule.
- the rate of recognition using the string corresponding to the pixels extracted twice consecutively is second. Therefore, the present application can be used as a supplementary recognition method for the character rule recognition manner.
- the rate of identification using the appearance frequency is the slowest, so this application uses it as a supplementary identification method for the first two identification methods. It can be seen that the present application can identify the barcode by using three identification methods, and can improve the accuracy of the barcode recognition while taking into consideration the recognition rate.
- FIG. 2 is a schematic flow chart of another method for identifying a barcode according to an exemplary embodiment of the present application.
- the pixel of the first row of the barcode image is parsed to obtain a corresponding character string A.
- Step 204 Extract a row of pixel points in the barcode image according to the extraction strategy.
- the 11th row of the barcode image may be extracted.
- the 11th row of pixel points may be parsed to obtain a corresponding character string B.
- Step 206 Determine whether the character string B satisfies the character rule. If the string B satisfies the character rule, step 208 can be performed. If the character string B does not satisfy the character rule, step 207 may be performed.
- Step 208 determining a recognition result of the barcode.
- the character string A when the character string A corresponding to the pixel of the first row of the barcode image satisfies the character rule, the character string A can be determined as the recognition result of the barcode.
- the character string B when the character string B is identical to the character string A, the character string B can be determined as the recognition result of the barcode.
- step 204 may be performed again, and the 21st pixel of the barcode image is extracted, and the step 203 is further analyzed.
- the 21st row of pixels is obtained to obtain a corresponding character string C. It is judged whether the character string C satisfies the character rule, and if satisfied, the character string C can be determined as the recognition result of the barcode. If the character string C does not satisfy the character rule, it is determined whether the character string C and the character string B are the same. If they are the same, the character string C may also be determined as the recognition result of the barcode.
- the present application also provides an embodiment of the barcode identification device.
- An embodiment of the identification device of the barcode of the present application can be applied to a terminal device.
- the device embodiment may be implemented by software, or may be implemented by hardware or a combination of hardware and software.
- the processor of the terminal device is configured to read the corresponding computer program instructions in the non-volatile memory into the memory.
- FIG. 3 a hardware structure diagram of the terminal device where the identification device of the barcode of the present application is located, except for the processor, the memory, the network interface, and the non-volatile memory shown in FIG.
- the terminal device where the device is located in the embodiment may also include other hardware according to the actual function of the terminal device, and details are not described herein again.
- FIG. 4 is a block diagram of an apparatus for identifying a barcode according to an exemplary embodiment of the present application.
- the barcode identification device 300 can be applied to the terminal device shown in FIG. 3, and includes: a pixel point extraction unit 301, a pixel point analysis unit 302, a first identification unit 303, and the same determination unit 304.
- the pixel point extraction unit 301 extracts a row of pixel points in the barcode image according to the preset extraction strategy.
- the pixel point parsing unit 302 parses the row of pixel points to obtain a corresponding first character string
- the first identifying unit 303 determines the first character string as the recognition result of the barcode in the barcode image when the first character string satisfies the preset character rule.
- the same judging unit 304 determines, when the first character string does not satisfy the character rule, the first character string and the first character string extracted in the barcode image according to the extraction strategy last time. Whether the second string corresponding to another row of pixels other than the corresponding row is the same;
- a second identifying unit 305 when the first character string is the same as the second character string, determining the first character string as a recognition result of the barcode in the barcode image, when the first character string and When the second character strings are different, the root pixel point extracting unit is returned.
- the extracting strategy is to extract the pixel points from the default row and the number of fixed rows, until the target extraction row exceeds the barcode image.
- the extraction strategy is to extract pixel points from the default row and dynamically change the number of rows until the target extraction row exceeds the barcode image.
- the third identifying unit 307 determines the character string having the largest frequency and greater than 1 as the recognition result of the barcode in the barcode image.
- the fourth identifying unit 308 determines that the barcode recognition has failed when the frequency of occurrence of each of the parsed character strings is 1.
- the fifth identifying unit 309 determines that the barcode recognition fails if the target extraction line exceeds the barcode picture, if no character string is obtained by parsing.
- the character rule is that there is no consecutive preset characters, and the preset characters do not include: 26 uppercase and lowercase letters, 0 to 9 and spaces.
- the device embodiment since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment.
- the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the present application. Those of ordinary skill in the art can understand and implement without any creative effort.
Abstract
Description
Claims (16)
- 一种条形码的识别方法,其特征在于,所述方法包括:根据预设的提取策略,在条形码图片中提取一行像素点;对该行像素点进行解析,以得到对应的第一字符串;当所述第一字符串满足预设的字符规则时,将所述第一字符串确定为所述条形码图片中条形码的识别结果。
- 根据权利要求1所述的方法,其特征在于,所述方法还包括:当所述第一字符串不满足所述字符规则时,判断所述第一字符串与上一次根据所述提取策略在所述条形码图片中提取的除所述第一字符串对应的行之外其他一行像素点对应的第二字符串是否相同;当所述第一字符串与所述第二字符串相同时,将所述第一字符串确定为所述条形码图片中条形码的识别结果;当所述第一字符串与所述第二字符串不相同时,返回根据预设的提取策略在条形码图片中提取一行像素点的步骤。
- 根据权利要求2所述的方法,其特征在于,所述提取策略为从缺省的行开始,间隔固定的行数进行像素点的提取,直至目标提取行超出所述条形码图片。
- 根据权利要求2所述的方法,其特征在于,所述提取策略为从缺省的行开始,间隔动态变化的行数进行像素点的提取,直至目标提取行超出所述条形码图片。
- 根据权利要求3或4所述的方法,其特征在于,所述方法还包括:当目标提取行超出所述条形码图片时,统计已解析得到的各字符串的出现频数;将出现频数最大,且大于1的字符串确定为所述条形码图片中条形码的识别结果。
- 根据权利要求5所述的方法,其特征在于,所述方法还包括:当已解析得到的各字符串的出现频数均为1时,确定条形码识别失败。
- 根据权利要求3或4所述的方法,其特征在于,所述方法还包括:当目标提取行超出所述条形码图片时,如果未解析得到任何字符串,则确定条形码识别失败。
- 根据权利要求1所述的方法,其特征在于,所述字符规则为不存在连续的预设字符,所述预设字符不包括:26个大小写字母、0至9以及空格。
- 一种条形码的识别装置,其特征在于,所述装置包括:像素点提取单元,根据预设的提取策略,在条形码图片中提取一行像素点;像素点解析单元,对该行像素点进行解析,以得到对应的第一字符串;第一识别单元,当所述第一字符串满足预设的字符规则时,将所述第一字符串确定为所述条形码图片中条形码的识别结果。
- 根据权利要求9所述的装置,其特征在于,所述装置还包括:相同判断单元,当所述第一字符串不满足所述字符规则时,判断所述第一字符串与上一次根据所述提取策略在所述条形码图片中提取的除所述第一字符串对应的行之外其他一行像素点对应的第二字符串是否相同;第二识别单元,当所述第一字符串与所述第二字符串相同时,将所述第一字符串确定为所述条形码图片中条形码的识别结果,当所述第一字符串与所述第二字符串不相同时,返回根像素点提取单元。
- 根据权利要求10所述的装置,其特征在于,所述提取策略为从缺省的行开始,间隔固定的行数进行像素点的提取,直至目标提取行超出所述条形码图片。
- 根据权利要求10所述的装置,其特征在于,所述提取策略为从缺省的行开始,间隔动态变化的行数进行像素点的提取,直至目标提取行超出所述条形码图片。
- 根据权利要求11或12所述的装置,其特征在于,所述装置还包括:频数统计单元,当目标提取行超出所述条形码图片时,统计已解析得到的各字符串的出现频数;第三识别单元,将出现频数最大,且大于1的字符串确定为所述条形码图片中条形码的识别结果。
- 根据权利要求13所述的装置,其特征在于,所述装置还包括:第四识别单元,当已解析得到的各字符串的出现频数均为1时,确定条形码识别失败。
- 根据权利要求11或12所述的装置,其特征在于,所述装置还包括:第五识别单元,当目标提取行超出所述条形码图片时,如果未解析得到任何字符串,则确定条形码识别失败。
- 根据权利要求9所述的装置,其特征在于,所述字符规则为不存在连续的预设字符,所述预设字符不包括:26个大小写字母、0至9以及空格。
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KR1020197014605A KR102194567B1 (ko) | 2016-10-24 | 2017-10-17 | 바코드 식별을 위한 방법 및 장치 |
PL17865471T PL3531335T3 (pl) | 2016-10-24 | 2017-10-17 | Sposób i urządzenie do identyfikowania kodów kreskowych |
SG11201903685PA SG11201903685PA (en) | 2016-10-24 | 2017-10-17 | Method and apparatus for barcode identification |
ES17865471T ES2808953T3 (es) | 2016-10-24 | 2017-10-17 | Procedimiento y aparato de identificación de código de barras |
MYPI2019002299A MY193086A (en) | 2016-10-24 | 2017-10-17 | Method and apparatus for barcode identification |
JP2019542767A JP2019537177A (ja) | 2016-10-24 | 2017-10-17 | バーコード識別のための方法および装置 |
EP17865471.1A EP3531335B1 (en) | 2016-10-24 | 2017-10-17 | Barcode identification method and apparatus |
US16/393,648 US10726223B2 (en) | 2016-10-24 | 2019-04-24 | Method and apparatus for barcode identifcation |
PH12019500901A PH12019500901A1 (en) | 2016-10-24 | 2019-04-24 | Method and apparatus for barcode identification |
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CN107016316B (zh) * | 2016-10-24 | 2020-01-31 | 阿里巴巴集团控股有限公司 | 一种条形码的识别方法和装置 |
CN111144161A (zh) * | 2020-04-03 | 2020-05-12 | 支付宝(杭州)信息技术有限公司 | 条形码的识别方法及装置、商品信息确定方法及支付方法 |
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MY193086A (en) | 2022-09-26 |
EP3531335A1 (en) | 2019-08-28 |
SG11201903685PA (en) | 2019-05-30 |
KR20190071780A (ko) | 2019-06-24 |
PH12019500901A1 (en) | 2019-12-02 |
US10726223B2 (en) | 2020-07-28 |
US20190251313A1 (en) | 2019-08-15 |
KR102194567B1 (ko) | 2020-12-28 |
JP2019537177A (ja) | 2019-12-19 |
TWI683258B (zh) | 2020-01-21 |
ES2808953T3 (es) | 2021-03-02 |
CN111274841A (zh) | 2020-06-12 |
CN111274841B (zh) | 2023-05-12 |
CN107016316A (zh) | 2017-08-04 |
PL3531335T3 (pl) | 2020-11-02 |
TW201816659A (zh) | 2018-05-01 |
CN107016316B (zh) | 2020-01-31 |
EP3531335A4 (en) | 2019-08-28 |
EP3531335B1 (en) | 2020-07-22 |
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