CN102411701A - Method and system for scanning and identifying two-dimensional code array image for invoice special for value-added tax - Google Patents
Method and system for scanning and identifying two-dimensional code array image for invoice special for value-added tax Download PDFInfo
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Abstract
The invention provides a method and a system for scanning and identifying a two-dimensional code array image for an invoice special for value-added tax. The method comprises the following steps of: scanning and acquiring a whole image of an invoice to be identified special for the value-added tax; and segmenting a two-dimensional code array image of the whole image, decoding the two-dimensional code array image and outputting decoding data information of the two-dimensional code array image. The system comprises a scanner and identification equipment, wherein the scanner is used for scanning the invoice to be identified special for the value-added tax to acquire the whole image of the invoice to be identified special for the value-added tax; and the identification equipment is connected with the scanner and is used for segmenting a two-dimensional code array image of the whole image and decoding the two-dimensional code array image. When various files are processed, the system can automatically perform batch processing and a person is not needed; therefore, the identification efficiency is improved.
Description
Technical field
The present invention relates to the bill anti-counterfeit field, particularly a kind of scanning recognition technology of two-dimension code array image of VAT invoice.
Background technology
Image in 2 D code has little, the capacious advantage of print area, thereby is used widely for existing bar code and numerical ciphers, and the recognition methods mode of image in 2 D code is main with barcode scanner mainly at present.
Use barcode scanner identification image in 2 D code in some environments for use, to seem and be not easily, and efficient is low.Usually printing on the file that is processed has a plurality of image in 2 D code, and existing image in 2 D code recognition system need be obtained the information of each image in 2 D code on the file when handling these files, so such characteristics have appearred in business procedure: the operator needs to take on the other hand file; On the other hand by each image in 2 D code on barcode scanner scanning document successively; Cause easily closer the time and misread when certain two image in 2 D code is adjacent, at this moment, also need cover an image in 2 D code of having read with blank sheet of paper; Read another image in 2 D code again; Need etc. are just calculated completion after all image in 2 D code all run through, the very loaded down with trivial details effort of this sequence of operations, and what especially will handle is not several papers; But thousands of part the time, such work efficiency and operating characteristic have brought white elephant to operating personnel undoubtedly.
Above-mentioned traffic issues, when inconvenience was to handle file, if every part of file has a plurality of image in 2 D code, then scan operation need be carried out repeatedly, and the decoding of image in 2 D code also need be carried out repeatedly.Can once accomplish if handle the multi-pass operations of a plurality of image in 2 D code of a file, and system can handle by automatic batch when handling many parts of files, and do not need artificial the participation, will increase work efficiency greatly so.
Summary of the invention
The present invention has overcome deficiency of the prior art, and a kind of scanning recognition methods of two-dimension code array image and system of VAT invoice is provided, but automatic batch processing and identification two-dimension code array image.When the processing portion contains the file of two-dimension code array image, once obtain the image of view picture file, and can resolve image information, the information that each image in 2 D code comprised on the last output file with this width of cloth image as input picture.Operation of the present invention can Automatic Cycle be handled, and does not need artificial the participation to cooperate, and effectively improves scanning and identification efficiency.
Technical scheme of the present invention: the two-dimension code array image scanning recognition methods of VAT invoice of the present invention may further comprise the steps:
Step 1: the general image of VAT invoice to be identified is obtained in scanning;
Step 2: cut out the two-dimension code array image of general image, again the two-dimension code array image is carried out decoding processing, the decoded data information of output two-dimension code array image.
During enforcement, step 1 further comprises:
Step 101: the parameter of scanner is set, comprises the setting of resolution, gray scale and the hot-zone etc. of scanner, thereby reach best scanning effect;
Step 102: scan VAT invoice to be identified, every VAT invoice to be identified is placed on the position, hot-zone, its direction direction is according to the rules placed, and obtains containing the general image of two-dimensional bar array.
Preferably, the parameter of scanner is set, the default value that generally adopts scanner to drive, i.e. 300dpi, 8 gray scales.
Preferably, step 2 further comprises:
Step 201: cut out said two-dimension code array image according to the position coordinates of said two-dimension code array image in said general image;
Step 202: convert said two-dimension code array image into binary image;
Step 203: judge whether said two-dimension code array image is white gravoply, with black engraved characters:
If said two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 204, execution in step 205;
If said two-dimension code array image is the black matrix wrongly written or mispronounced character, then execution in step 204;
Step 204: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted into white gravoply, with black engraved characters;
Step 205: the position coordinates that goes out each image in 2 D code in the two-dimension code array image according to the view finding Figure recognition;
Step 206: cut out image in 2 D code according to position coordinates;
Step 207: call the decoding storehouse image in 2 D code is decoded one by one, extract the decoded data information of this two-dimension code array image;
Step 208: output decoder data message.
Preferably, above-mentioned decoding storehouse is provided by the third party, and this decoding storehouse comprises the corresponding decoded data information of said image in 2 D code.
Preferably, each two-dimension code array image all includes four image in 2 D code of arranging side by side.
The two-dimension code array image scanning recognition system of VAT invoice of the present invention comprises:
Scanner is used to scan VAT invoice to be identified, obtains the general image of VAT invoice to be identified; And
Identification equipment is connected with scanner;
Wherein, identification equipment comprises:
Scan interface, it is connected with scanner, and this scan interface is used to receive general image;
Processor, it is connected with scan interface, and this processor is used to cut out the two-dimension code array image of general image, again the two-dimension code array image is carried out decoding processing, the decoded data information of output two-dimension code array image; And
Delivery outlet, it is connected with processor, and this delivery outlet is used to export said decoded data information.
Preferably, each two-dimension code array image includes four image in 2 D code of arranging side by side.
Preferably, scanner was provided with parameter to it earlier before using, comprise the setting of resolution, gray scale and the hot-zone etc. of scanner, thereby reached best scanning effect; The general default value that adopts scanner to drive, promptly resolution is 300dpi (dot per inch, what per inch was printed counts or the line number), 8 gray scales.
Beneficial effect of the present invention: the present invention can discern the situation that contains a plurality of image in 2 D code on a file paper, and recognition efficiency is high; System's batch processing automatically when handling many parts of files, and do not need artificial participation, will raise the efficiency greatly so.
Description of drawings
Figure 1A is the process flow diagram of the two-dimension code array image scanning recognition methods of VAT invoice of the present invention;
Figure 1B is the process flow diagram of another embodiment of the two-dimension code array image scanning recognition methods of VAT invoice of the present invention;
Fig. 1 C is the process flow diagram of another embodiment of the two-dimension code array image scanning recognition methods of VAT invoice of the present invention;
Fig. 2 is the structural drawing of the two-dimension code array image scanning recognition system of VAT invoice of the present invention;
Fig. 3 A is the block diagram of the embodiment of the processor of the two-dimension code array scanning recognition system of VAT invoice of the present invention;
Fig. 3 B is the block diagram of another embodiment of the processor of the two-dimension code array scanning recognition system of VAT invoice of the present invention;
Fig. 3 C is the block diagram of another embodiment of the processor of the two-dimension code array scanning recognition system of VAT invoice of the present invention.
Embodiment
For making the feature and advantage of the present invention can be more obviously understandable, the present invention be done further detailed explanation below in conjunction with accompanying drawing and specific embodiment.
See also Figure 1A, the two-dimension code array image scanning recognition methods of VAT invoice of the present invention may further comprise the steps:
Step 1: the general image of VAT invoice to be identified is obtained in scanning;
Step 2: cut out the two-dimension code array image of general image, again the two-dimension code array image is carried out decoding processing, the decoded data information of output two-dimension code array image.
During enforcement, step 1 further comprises:
Step 101: the parameter of scanner is set, comprises the setting of resolution, gray scale and the hot-zone etc. of scanner, thereby reach best scanning effect;
Step 102: scan VAT invoice to be identified, every VAT invoice to be identified is placed on the position, hot-zone, its direction direction is according to the rules placed, and obtains containing the general image of two-dimensional bar array.
Preferably, the parameter of scanner is set, the default value that generally adopts scanner to drive, i.e. 300dpi, 8 gray scales.
Preferably, each two-dimension code array image all includes four image in 2 D code of arranging side by side.
During enforcement, step 2 further comprises:
Step 201: cut out said two-dimension code array image according to the position coordinates of said two-dimension code array image in said general image;
Step 202: convert said two-dimension code array image into binary image;
Step 203: judge whether said two-dimension code array image is white gravoply, with black engraved characters:
If said two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 204, execution in step 205;
If said two-dimension code array image is the black matrix wrongly written or mispronounced character, then execution in step 204;
Step 204: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted into white gravoply, with black engraved characters;
Step 205: the position coordinates that goes out each image in 2 D code in the two-dimension code array image according to the view finding Figure recognition;
Step 206: cut out image in 2 D code according to position coordinates;
Step 207: call the decoding storehouse image in 2 D code is decoded one by one, extract the decoded data information of this two-dimension code array image;
Step 208: output decoder data message.
Preferably, above-mentioned decoding storehouse is provided by the third party, and this decoding storehouse comprises the corresponding decoded data information of said image in 2 D code.
See also Figure 1B, another embodiment of the present invention: above-mentioned steps 2 may further comprise the steps:
Step 201: cut out the two-dimension code array image according to the position coordinates of two-dimension code array image in general image;
Step 202: judge whether the two-dimension code array image is white gravoply, with black engraved characters;
If above-mentioned two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 203, execution in step 204;
If above-mentioned two-dimension code array image is the black matrix wrongly written or mispronounced character, then execution in step 203;
Step 203: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted to white gravoply, with black engraved characters;
Step 204: the noise pixel of removing above-mentioned two-dimension code array image;
Step 205: convert above-mentioned two-dimension code array image into binary image;
Step 206: convert above-mentioned binary image to text, wherein, one group of data message of one group of corresponding text of two-dimension code array image;
Step 207: identification and decoding algorithm according to image in 2 D code split into four segment datas with above-mentioned data message, the corresponding image in 2 D code of each segment data;
Step 208: call the decoding storehouse the corresponding two-dimension code of above-mentioned data is decoded one by one, extract the decoded data information of two-dimension code array image;
Step 209: export above-mentioned decoded data information.
Preferably, above-mentioned black and white judges it is to judge through the white space grey scale pixel value to the two-dimension code array image; If the image pixel gray-scale value that obtains is 0 or near 0, then is the white gray value; If the image pixel gray-scale value that obtains is 255 or near 255, then is the black gray value.
Preferably, the threshold value in the above-mentioned binary conversion treatment is to confirm from actual scanning sampling, as gets 10 this two-dimension code of increment array images, is made as threshold values to white space gray scale maximal value wherein, all thinks near 0 less than this.
Preferably, above-mentioned decoding storehouse is the decoding storehouse of same image in 2 D code, is provided by the third party, and it includes the corresponding decoded data information of each image in 2 D code.
Preferably, the decoding failure, variable data is an initial value, then the data message of identification equipment output is hexadecimal FF or 00 entirely.
See also Fig. 1 C, another embodiment of the present invention, above-mentioned steps 2 may further comprise the steps:
Step 201: cut out the two-dimension code array image according to the position coordinates of two-dimension code array image in general image;
Step 202: judge whether the two-dimension code array image is white gravoply, with black engraved characters;
If above-mentioned two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 203, execution in step 204;
If in the above-mentioned two-dimension code array image black matrix wrongly written or mispronounced character is arranged, then execution in step 203;
Step 203: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted to white gravoply, with black engraved characters;
Step 204: size and position according to each image in 2 D code cut out each image in 2 D code;
Step 205: the noise pixel of removing above-mentioned image in 2 D code;
Step 206: convert above-mentioned image in 2 D code into binary image;
Step 207: convert above-mentioned binary image to text, wherein, one group of data message of one group of corresponding text of said two-dimension code array image
Step 208: call the decoding storehouse the corresponding image in 2 D code of said data is decoded one by one, extract the decoded data information of two-dimension code array image
Step 209: output decoder data message.
Preferably, above-mentioned black and white judges it is to judge through the white space grey scale pixel value to the two-dimension code array image; If the image pixel gray-scale value that obtains is 0 or near 0, then is the white gray value; If the image pixel gray-scale value that obtains is 255 or near 255, then is the black gray value.
Preferably, the threshold value in the above-mentioned binary conversion treatment is to confirm from actual scanning sampling, as gets 10 this two-dimension code of increment array images, is made as threshold values to white space gray scale maximal value wherein, all thinks near 0 less than this.
Preferably, above-mentioned decoding storehouse is the decoding storehouse of same image in 2 D code, is provided by the third party, and it includes the corresponding decoded data information of each image in 2 D code.
Preferably, the decoding failure, variable data is an initial value, then the data message of identification equipment output is hexadecimal FF or 00 entirely.
See also Fig. 2, the scanning recognition system of two-dimension code array image of the present invention comprises:
Wherein, identification equipment 2 comprises:
Preferably, each two-dimension code array image includes four image in 2 D code of arranging side by side.
Preferably, scanner 1 was provided with parameter to it earlier before using, comprise the setting of resolution, gray scale and the hot-zone etc. of scanner 1, thereby reached best scanning effect; The general default value that adopts scanner 1 to drive, promptly resolution is 300dpi (dot per inch, what per inch was printed counts or the line number), 8 gray scales.
See also Fig. 3 A, one embodiment of the invention, above-mentioned processor 22 comprises:
Binary conversion treatment module 2203, it is used for grey scale pixel value with the two-dimension code array image and converts into through setting threshold and have only 0 and 1 binary image, wherein, 0 expression white, 1 expression black;
Black and white judge module 2204, it is used to judge whether above-mentioned two-dimension code array image is white gravoply, with black engraved characters:
If above-mentioned two-dimension code array image all is a white gravoply, with black engraved characters, then directly get into identification two-dimension code view finding figure module 2206;
If above-mentioned two-dimension code array image is the black matrix wrongly written or mispronounced character, then get into image transitions processing module 2205;
Image transitions processing module 2205, it is used for the grey scale pixel value of the two-dimension code array image of black matrix wrongly written or mispronounced character is reversed, and obtains the two-dimension code array image of white gravoply, with black engraved characters;
Identification view finding figure module 2206, it is used for going out according to the view finding Figure recognition of two-dimension code the position of each two-dimension code of two-dimension code array image;
See also Fig. 3 B, another embodiment of the present invention, above-mentioned processor comprises:
Cut figure processing module 2209, it is used for, and coordinate cuts out the two-dimension code array image in the fixed position of above-mentioned general image according to the two-dimension code array image;
Black and white judge module 2204, it is used to judge whether white gravoply, with black engraved characters of above-mentioned two-dimension code array image; If this two-dimension code array image all is a white gravoply, with black engraved characters, then carry out the binary conversion treatment module; If the two-dimension code of this two-dimension code array image black matrix wrongly written or mispronounced character then carries out the image transitions processing module;
Image transitions processing module 2205, it is used for the grey scale pixel value of the two-dimension code array image of above-mentioned black matrix wrongly written or mispronounced character is reversed, and obtains the two-dimension code array image of white gravoply, with black engraved characters;
Binary conversion treatment module 2203, it is used for grey scale pixel value with above-mentioned image in 2 D code and converts into through setting threshold and have only 0 and 1 binary image, wherein, 0 expression white, 1 expression black;
Preferably; Above-mentioned processor 22 also comprises a denoising module 2210; The one of which end is connected with image transitions processing module 2205, and the other end is connected with binary conversion treatment module 2203, and it is used for removing the noise pixel that the two-dimension code array image produces in print procedure and scanning process.
Preferably, the determination methods of black and white judge module 2204 is to judge through the white space grey scale pixel value to the two-dimension code array image.If the image pixel gray-scale value that obtains is 0 or near 0, then is the white gray value; If the image pixel gray-scale value that obtains is 255 or near 255, then is the black gray value.
Preferably, the threshold value that relates in the binary conversion treatment module 2203 is to confirm from actual scanning sampling, as gets 10 this two-dimension code of increment array images, is made as threshold values to white space gray scale maximal value wherein, all thinks near 0 less than this.
Preferably, the decoding storehouse is the decoding storehouse of same two-dimension code, is provided by the third party, wherein includes the corresponding decoded data information of data message of each two-dimension code.
See also Fig. 3 C, another embodiment of the present invention, above-mentioned processor comprises:
Cut figure processing module 2209, it is used for, and coordinate cuts out the two-dimension code array image in the fixed position of above-mentioned general image according to the two-dimension code array image;
Black and white judge module 2204, it is used to judge whether above-mentioned two-dimension code array image is white gravoply, with black engraved characters; If this two-dimension code array image all is a white gravoply, with black engraved characters, then get into deconsolidation process module 2212; If this two-dimension code array image is the black matrix wrongly written or mispronounced character, then gets into image transitions and handle 2205;
Image transitions processing module 2205, it is used for the grey scale pixel value of the two-dimension code array image of above-mentioned black matrix wrongly written or mispronounced character is reversed, and obtains the two-dimension code array image of white gravoply, with black engraved characters;
Binary conversion treatment module 2203 converts the grey scale pixel value of above-mentioned image in 2 D code into and to have only 0 and 1 binary image through setting threshold, wherein, and 0 expression white, 1 expression black;
Preferably; Above-mentioned processor 22 also comprises a denoising module 2210; The one of which end is connected 2212 with the deconsolidation process module, and the other end is connected with binary conversion treatment module 2203, and it is used for removing the noise pixel that the two-dimension code array image produces in print procedure and scanning process.
Preferably, the determination methods of black and white judge module 2204 is to judge through the white space grey scale pixel value to the two-dimension code array image.If the image pixel gray-scale value that obtains is 0 or near 0, then is the white gray value; If the image pixel gray-scale value that obtains is 255 or near 255, then is the black gray value.
Preferably, the threshold value that relates in the binary conversion treatment module 2203 is to confirm from actual scanning sampling, as gets 10 this two-dimension code of increment array images, is made as threshold values to white space gray scale maximal value wherein, all thinks near 0 less than this.
Preferably, the decoding storehouse is the decoding storehouse of same two-dimension code, is provided by the third party, wherein includes the corresponding decoded data information of data message of each two-dimension code.
Obviously, the foregoing description is merely the explanation of technical scheme of the present invention and unrestricted, and various changes that technical scheme of the present invention is carried out and be equal to replacement and do not break away from the spirit and scope of the present invention all should be encompassed within the claim scope of the present invention.
Claims (9)
1. the two-dimension code array image of VAT invoice scanning recognition methods is characterized in that, may further comprise the steps:
Step 1: the general image of VAT invoice to be identified is obtained in scanning;
Step 2: cut out the two-dimension code array image of said general image, more said two-dimension code array image is carried out decoding processing, export the decoded data information of said two-dimension code array image.
2. the two-dimension code array image of VAT invoice according to claim 1 scanning recognition methods is characterized in that step 2 further comprises:
Step 201: cut out said two-dimension code array image according to the position coordinates of said two-dimension code array image in said general image;
Step 202: convert said two-dimension code array image into binary image;
Step 203: judge whether said two-dimension code array image is white gravoply, with black engraved characters:
If said two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 204, execution in step 205;
If said two-dimension code array image is the black matrix wrongly written or mispronounced character, then execution in step 204;
Step 204: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted into white gravoply, with black engraved characters;
Step 205: the position coordinates that goes out each image in 2 D code in the said two-dimension code array image according to the view finding Figure recognition;
Step 206: cut out said image in 2 D code according to said position coordinates;
Step 207: call the decoding storehouse said image in 2 D code is decoded one by one, extract the decoded data information of this two-dimension code array image;
Step 208: export said decoded data information.
3. the two-dimension code array image of VAT invoice according to claim 1 scanning recognition methods is characterized in that said step 2 may further comprise the steps:
Step 201: cut out said two-dimension code array image according to the position coordinates of said two-dimension code array image in said general image;
Step 202: judge whether said two-dimension code array image is white gravoply, with black engraved characters:
If said two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 203, execution in step 204;
If said two-dimension code array image is the black matrix wrongly written or mispronounced character, then execution in step 203;
Step 203: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted to white gravoply, with black engraved characters;
Step 204: the noise pixel of removing said two-dimension code array image;
Step 205: convert said two-dimension code array image into binary image;
Step 206: convert said binary image to text, wherein, one group of data message of one group of corresponding said text of said two-dimension code array image;
Step 207: identification and decoding algorithm according to said image in 2 D code split into four segment datas with said data message, the corresponding said image in 2 D code of the said data of each section;
Step 208: call the decoding storehouse the corresponding image in 2 D code of said data is decoded one by one, extract the decoded data information of said two-dimension code array image;
Step 209: export said decoded data information.
4. the two-dimension code array image of VAT invoice according to claim 1 scanning recognition methods is characterized in that said step 2 may further comprise the steps:
Step 201: cut out said two-dimension code array image according to the position coordinates of said two-dimension code array image in said general image;
Step 202: judge whether said two-dimension code array image is white gravoply, with black engraved characters;
If said two-dimension code array image all is a white gravoply, with black engraved characters, then skips steps 203, execution in step 204;
If in the said two-dimension code array image black matrix wrongly written or mispronounced character is arranged, then execution in step 203;
Step 203: the two-dimension code array image that the two-dimension code array image of black matrix wrongly written or mispronounced character is converted to white gravoply, with black engraved characters;
Step 204: size and position according to each image in 2 D code cut out each image in 2 D code;
Step 205: the noise pixel of removing said image in 2 D code;
Step 206: convert said image in 2 D code into binary image;
Step 207: convert said binary image to text, wherein, one group of data message of one group of corresponding said text of said two-dimension code array image
Step 208: call the decoding storehouse the corresponding image in 2 D code of said data is decoded one by one, extract the decoded data information of said two-dimension code array image
Step 209: export said decoded data information.
5. according to the two-dimension code array image scanning recognition methods of claim 2,3 or 4 described VAT invoices, it is characterized in that said decoding storehouse is provided by the third party, this decoding storehouse comprises the corresponding decoded data information of said image in 2 D code.
6. the two-dimension code array image of VAT invoice according to claim 5 scanning recognition methods is characterized in that, said two-dimension code array image all includes four image in 2 D code of arranging side by side.
7. the two-dimension code array image of VAT invoice scanning recognition system is characterized in that, comprising: scanner, be used to scan VAT invoice to be identified, and obtain the general image of said VAT invoice to be identified; And
Identification equipment is connected with scanner;
Wherein, identification equipment comprises:
Scan interface, it is connected with scanner, and this scan interface is used to receive said general image;
Processor, it is connected with scan interface, and this processor is used to cut out the two-dimension code array image of said general image, more said two-dimension code array image is carried out decoding processing, exports the decoded data information of said two-dimension code array image; And
Delivery outlet, it is connected with processor, and this delivery outlet is used to export said decoded data information.
8. the two-dimension code array image of VAT invoice according to claim 7 scanning recognition system is characterized in that, said two-dimension code array image includes four image in 2 D code of arranging side by side.
9. the two-dimension code array image of VAT invoice according to claim 7 scanning recognition system is characterized in that said decoding storehouse is provided by the third party, and this decoding storehouse comprises the corresponding decoded data information of said image in 2 D code.
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| CN112651289A (en) * | 2020-10-19 | 2021-04-13 | 广东工业大学 | Intelligent identification and verification system and method for value-added tax common invoice |
| CN112906421A (en) * | 2021-04-08 | 2021-06-04 | 苏州华兴源创科技股份有限公司 | Product two-dimensional code identification method |
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Application publication date: 20120411 |