JP2011172262A - Image processing apparatus, image processing method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processing technique that prevents a reduction in read rate of digital information in copies of subsequent generations, in copying or scanning a printed material having a specific format pattern (e.g., a barcode pattern) containing digital information. <P>SOLUTION: An image processing apparatus specifies a first region RG1 that includes a two-dimensional barcode pattern PT containing digital information and a second region RG2 that does not include the two-dimensional barcode pattern PT, in a scanned document image GS. Moreover, the image processing apparatus analyzes the specific format pattern to extract the digital information (e.g., password information). Furthermore, the image processing apparatus prohibits output of an image based on a scanned image when an error detection rate is larger than a predetermined value in extracting the digital information. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an image processing technique for performing image processing on a scanned image.

  There is a technique for printing by adding appropriate information or the like to the printing surface of a printed output when a document is printed out.

  For example, Patent Document 1 describes a technique for converting input data into a barcode pattern image (also simply referred to as a barcode pattern), synthesizing a document image and the barcode pattern, and printing out. . In other words, a technique for generating a printed output in which digital information is embedded as a barcode pattern is described.

Japanese Patent Laid-Open No. 8-16689

  By the way, in general, in a copying apparatus, the entire scan image is subjected to image correction processing, and the scanned image after the image correction processing is often printed out as a copy image. As such image correction processing, for example, processing for the purpose of preventing the occurrence of moiré, for example, smoothing processing (smoothing processing), edge enhancement processing, and the like are performed.

  Here, a situation is assumed in which a printed output in which digital information is embedded by the above-described technique is copied by a copying apparatus. Even in such a situation, an image correction process such as a smoothing process can be performed on the scanned image related to the printed output.

  However, when the above-described smoothing process or the like is performed on the scanned image in the image correction process at the time of copying, the barcode pattern in the scanned image is printed out in a state of being deteriorated by the smoothing process or the like. . For this reason, when an object printed out in the copying operation (that is, a copy output object) is further copied, the reading rate of the digital information in the barcode pattern is lowered. That is, the reading rate of digital information at the time of copying after the next generation is lowered.

  Accordingly, the present invention suppresses a decrease in the reading rate of digital information at the time of copying after the next generation when copying or scanning a printed output on which a specific format pattern (such as a barcode pattern) including digital information is printed. It is an object of the present invention to provide an image processing technique that can be performed.

  In order to solve the above-mentioned problems, the invention of claim 1 is an image processing apparatus, wherein the first means includes an acquisition means for acquiring a scanned image of a document, and a specific format pattern in which digital information is embedded in the scanned image. And a second area not including the specific format pattern, an extraction means for analyzing the specific format pattern and extracting the digital information, and an error detection rate when extracting the digital information Output control means for prohibiting the output of an image based on the scanned image when is larger than a predetermined value.

  According to a second aspect of the present invention, in the image processing apparatus according to the first aspect of the invention, the digital information extracted by the extracting means is password information.

  According to a third aspect of the present invention, in the image processing apparatus according to the first or second aspect of the present invention, the specific format pattern includes at least one of a one-dimensional barcode pattern and a two-dimensional barcode pattern. .

  According to a fourth aspect of the present invention, in the image processing apparatus according to any one of the first to third aspects, the specific format pattern includes a tint block pattern.

  The invention according to claim 5 is an image processing method, wherein a) a first area including a specific format pattern in which digital information is embedded and a second area not including the specific format pattern are specified in a scanned image. B) analyzing the specific format pattern to extract the digital information; and c) when an error detection rate when extracting the digital information is greater than a predetermined value, And a step of prohibiting output.

  According to a sixth aspect of the invention, a) identifying a first area including a specific format pattern in which digital information is embedded and a second area not including the specific format pattern in a scanned image; b) Analyzing the specific format pattern to extract the digital information; c) prohibiting output of an image based on the scanned image when an error detection rate at the time of extraction of the digital information is greater than a predetermined value; Is a program for causing a computer to execute.

  According to the first to sixth aspects of the invention, it is possible to suppress a decrease in the reading rate of digital information at the time of copying after the next generation.

  In particular, according to the second aspect of the present invention, when the error detection rate at the time of extracting password information is larger than a predetermined value, the output of the image is performed in consideration of the possibility that the reliability of the password information is lowered. It is forbidden. Therefore, it is possible to maintain security regarding the document.

It is a schematic diagram showing a system configuration. FIG. 5 is a diagram illustrating a target document for copy processing. It is a figure which shows the state in which the comparatively strong smoothing process was performed with respect to the whole scan image. It is a figure which shows the example of the image processing result which concerns on this invention. 2 is a functional block diagram showing a detailed configuration of an MFP. FIG. 3 is a flowchart showing the operation of the MFP. It is a figure which shows the scan image before image processing. It is a figure which shows a parity check operation | movement. It is a figure which shows a parity check operation | movement. It is a flowchart which shows the one part operation | movement of FIG. 6 in detail. It is a figure which shows the state in which the comparatively strong density reduction process was performed with respect to the whole scan image. It is a figure which shows the example of the image processing result which concerns on this invention. It is a figure which shows the state in which the base color provision process was performed with respect to the whole scan image. It is a figure which shows the example of the image processing result which concerns on this invention. It is a figure which shows the state to which the reduction process was performed with respect to the whole scan image. It is a figure which shows the example of the image processing result which concerns on this invention. It is a flowchart which shows a part of operation | movement which concerns on 2nd Embodiment. It is a figure which shows the tolerance | permissible_range etc. of the process degree of each image process. It is a flowchart which shows the operation | movement which concerns on 3rd Embodiment. It is a flowchart which shows the operation | movement which concerns on 3rd Embodiment. FIG. 3 is a diagram showing a data table included in an MFP. It is a flowchart which shows the operation | movement which concerns on 4th Embodiment. It is a flowchart which shows the operation | movement which concerns on 4th Embodiment. It is a flowchart which shows the operation | movement which concerns on 5th Embodiment. It is a flowchart which shows the operation | movement which concerns on 5th Embodiment. It is a figure which shows the process target original (image containing a background pattern) in a modification.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<1. First Embodiment>
<1-1. System overview>
FIG. 1 is a schematic diagram showing the configuration of the system 100. The system 100 includes a plurality of Multi Function Peripherals (also abbreviated as MFP) 10 (specifically, MFPs 10a, 10b, etc.).

  The MFP 10 is a device (also referred to as a multifunction device) that includes a scanner function, a printer function, a copy function, a facsimile communication function, and the like. The MFP 10 is also referred to as an image forming apparatus. The MFP 10 (particularly the MFP 10a) is also referred to as an image processing apparatus because it is an apparatus that performs image processing on a scanned image or the like.

  In this system 100, for example, a print output GA printed out by the MFP 10b is copied (copied) by the MFP 10a, and a copy output GB is output. In other words, the print output GA (copy target document) is generated using the print output function of the MFP 10b, and the copy output GB is generated using the copy function of the MFP 10a. In this embodiment, the description will focus on the copying operation by the MFP 10b.

  As shown in FIG. 2, the printed output GA has not only the contents of the document (represented here by 10 rectangles arranged in three stages in the center of the screen) on the printed output surface, but also two-dimensionally. It also has a bar code pattern PT. Here, two-dimensional barcode patterns are respectively arranged at the four corners of the printed output GA. Various information can be embedded in each two-dimensional barcode pattern. For example, copyright information regarding the printed output GA is embedded in the two-dimensional barcode pattern.

  As described above, in copying (copying), image correction processing is often performed on a scanned image. For example, smoothing processing (smoothing processing), edge enhancement processing, and the like are performed for the purpose of preventing the occurrence of moire. In particular, when the reading performance (reading resolution or the like) of the image reading unit (scanner unit) 12 of the MFP 10a is low, a relatively strong smoothing process is executed as compared with the case where the performance of the image reading unit 12 of the MFP 10a is high. The The image GC in FIG. 3 is a conceptual diagram showing a state in which such a relatively strong smoothing process has been performed.

  However, as shown in FIG. 3, not only the content of the original (10 rectangles arranged in the middle three stages) but also the barcode pattern PT is subjected to relatively strong smoothing processing, resulting in the image GC. The bar code pattern PT may be crushed. As a result, when the image GC is further copied, the barcode pattern PT cannot be read.

  Therefore, in this embodiment, as will be described later, when copying a printed output on which a specific format pattern (two-dimensional barcode or the like) is printed, the scan image GS (FIG. 7) includes a specific format pattern. One region RG1 and a second region RG2 not including the specific format pattern are specified. Note that the scan image GS in FIG. 7 is a scan image before image processing. Then, different image processing is performed on both regions RG1, RG2. Specifically, the MFP 10a performs a specific image processing process (smoothing process) on the second area RG2, while performing the specific image processing process (smoothing process) on the first area RG1. Do not apply. In this way, a print output image GP (also referred to as a scanned image after image processing) is generated (see FIG. 4). In FIG. 4, while the smoothing process is performed on the region RG2, the smoothing process is not performed on the two-dimensional barcode pattern PT in the region RG1, and the two-dimensional barcode pattern It shows how the PT is maintained in a clear state. According to such image processing, deterioration of the two-dimensional barcode pattern PT due to smoothing processing can be avoided.

  The MFP 10 that performs such an operation will be described in more detail below.

<1-2. Detailed Configuration of MFP 10>
A detailed configuration of each MFP 10 will be described with reference to FIG. FIG. 5 is a functional block diagram showing a functional configuration of each MFP 10.

  As shown in FIG. 5, the MFP 10 includes an image reading unit 12, a print output unit 13, a communication unit 14, a storage unit 15, an input / output unit 16, and a controller 19. The above functions are realized by operating in a complex manner.

  The image reading unit 12 is a processing unit that optically reads a document placed at a predetermined position of the MFP 10 and generates image data (also referred to as a document image) of the document.

  The print output unit 13 is an output unit that prints an image on various media such as paper based on image data related to the target image.

  The communication unit 14 is a processing unit capable of performing facsimile communication via a public line or the like. Furthermore, the communication unit 14 can perform network communication via a communication network. In this network communication, various protocols such as TCP / IP (Transmission Control Protocol / Internet Protocol) and FTP (File Transfer Protocol) are used. By using the network communication, the MFP 10 can communicate with a desired destination. Various data can be exchanged between them.

  The storage unit 15 includes a storage device such as a hard disk drive (HDD). The storage unit 15 stores a document image generated by the image reading unit 12 or the like. The storage unit 15 also stores parameters that define the degree of processing of various image processing processes (smoothing processing, etc.).

  The input / output unit 16 includes an operation input unit 16a that receives an input to the MFP 10 and a display unit 16b that displays and outputs various types of information.

  The controller 19 is a control device that controls the MFP 10 in an integrated manner, and includes a CPU and various semiconductor memories (such as a RAM and a ROM). Various functions of the MFP 10 are realized by operating various processing units under the control of the controller 19. For example, under the control of the controller 19, a desired original is optically read using the image reading unit 12, whereby an image (scanned image) obtained by scanning the original is acquired, and a scanner function is realized. Further, the copy function is realized by printing out the scanned image using the print output unit 13. The controller 19 also controls various processes as described below.

  The controller 19 implements various processing units by executing predetermined software programs (hereinafter also simply referred to as programs) stored in a ROM (for example, an EEPROM) in the CPU.

  Specifically, the controller 19 implements various processing units including an acquisition unit 21, a region specifying unit 23, an information extraction unit 25, an image processing unit 27, and an output control unit 29.

  The acquisition unit 21 is a processing unit that acquires a scan image GS related to the print output (original) GA, for example, the scan image GS generated by the image reading unit 12.

  The region specifying unit 23 is a processing unit that specifies the first region RG1 and the second region RG2 in the scanned image GS (see FIG. 7). As described above, the first region RG1 is a region including the two-dimensional barcode pattern PT in which digital information is embedded. Here, the region RG1 includes a two-dimensional barcode pattern PT and also has a slight margin region (for example, about 0.1 mm to several mm) outward from the two-dimensional barcode pattern PT in the left-right and up-down directions. It is an area to include. The second region RG2 is a region that does not include a two-dimensional barcode pattern. Here, the region RG2 is the entire region excluding the region RG1 in the scan image GS.

  The information extraction unit 25 is a processing unit that analyzes the two-dimensional barcode pattern PT and extracts digital information embedded in the two-dimensional barcode pattern.

  The image processing unit 27 is a processing unit that performs image processing on the scanned image GS.

  The output control unit 29 is a processing unit that controls an output operation (print output operation or the like) related to the image GP obtained by performing predetermined image processing on the scanned image GS. The output control unit 29 controls not only the print output operation but also the output operation (data transfer output operation) via network communication or the like as the output operation.

<1-3. Operation of MFP 10a>
Next, the operation of the MFP 10a will be described in detail with reference to FIG. FIG. 6 is a flowchart showing the operation of the MFP 10a. Here, it is assumed that the scanned image GS relating to the printed output (original) GA has already been acquired by the image reading unit 12 and the acquisition unit 21.

  Thereafter, in step S1, a two-dimensional barcode pattern PT in the scan image GS is detected, and both regions RG1 and RG2 in the scan image are specified based on the detection result. Specifically, each region RG1, RG2 is specified by executing the above-described operation by the region specifying unit 23. Here, a total of five areas including four areas RG1 (RG11 to RG14) and a single area RG2 are recognized by the MFP 10a (see FIG. 7).

  Next, in step S2, based on the detection result in step S1, it is determined whether or not the two-dimensional barcode pattern PT is included in the scan image GS.

  If it is determined that the two-dimensional barcode pattern PT is not included in the scanned image GS, the process proceeds to step S11 and normal image processing is performed. For example, the smoothing process and the edge emphasis process are each performed with a normal processing degree (default parameter). Thereafter, the process proceeds to step S12. In step S12, the same processing as step S9 described later is performed.

  On the other hand, if it is determined that the two-dimensional barcode pattern PT is included in the scan image GS, the process proceeds to step S3.

  In step S3, digital information embedded in the two-dimensional barcode pattern PT is extracted. For example, digital information such as copyright information is extracted from the two-dimensional barcode pattern PT.

  In step S4, an error detection rate Re at the time of digital information extraction in step S3 is calculated. Here, the error detection rate Re is a detection ratio of errors detected in a code error detection (so-called parity check) process by adding a parity bit or the like. As will be described later, the first embodiment exemplifies a case where the content of image processing (specifically, whether or not a specific image processing process is performed) is also changed using the error detection rate Re.

  8 and 9 are schematic diagrams for explaining the principle of such error detection processing. Here, a parity check operation for detecting a 1-bit error will be described with reference to FIGS.

  FIG. 8 is a diagram illustrating a state in which one parity bit is added to 8-bit data. Here, the even parity check will be described.

  In the even parity check, the parity bits are set so that the sum of the bits in the data (D1 or the like) including the parity bits is an even number. For example, the sum of the original 8 bits in the data D1 is 0 + 0 + 1 + 0 + 0 + 1 + 1 + 0 = 3, that is, an odd number. In the even parity check, since the parity bit is set so that the sum of the original data and the parity bit is an even number, the parity bit is set to “1”. Here, for simplification, the other data D2 to D4 are also configured as similar data strings.

  On the other hand, FIG. 9 is a diagram showing an example of digital data extracted from the two-dimensional barcode pattern PT.

  Regarding the extracted data D1 and D4, since the sum of the original data and the parity bits is 4, that is, an even number, it is confirmed that there is no error in the data. On the other hand, regarding the extracted data D2, since the sum of the original data and the parity bits is 3 (= (0 + 0 + 0 + 0 + 0 + 1 + 1 + 0) +1), that is, an odd number, it is detected that there is an error in the data. . Similarly, regarding the extracted data D3, since the sum of the original data and the parity bits is 5 (= (0 + 0 + 1 + 1 + 0 + 1 + 1 + 0) +1), that is, an odd number, it is detected that there is an error in the data.

  In this way, when detecting the four data D1 to D4, an error is detected from the two data D2 and D3. At this time, since an error is detected from two data out of the total number of data TN (= 4), the error detection rate Re is detected as Re = 2/4, that is, 50%. When this is generalized, the error detection rate Re is expressed as Re = EN / TN. However, the value EN is the number of detected errors (number of detected errors).

  In steps S3 and S4, error detection processing is performed and an error detection rate Re is calculated based on the principle described above. In the above description, the parity check that can detect a 1-bit error has been described. However, the present invention is not limited to this, and a parity check that can also detect an error of 2 bits or more is performed. May be. For example, error detection processing using a Reed-Solomon code may be performed.

  Here, in step S4, it is assumed that the error detection rate Re regarding the entirety of the plurality of regions RG11 to RG14 is acquired.

  Next, in step S5, these five areas are sequentially set as processing target areas. Specifically, the regions RG11, RG2, RG12, RG13, and RG14 are set as processing target regions in this order, for example, in step S5 until it is determined in step S10 that the processing has been completed for all regions. .

  In step S6, it is determined whether or not the processing target area is an area including the two-dimensional barcode pattern PT.

  If it is determined that the processing target region is not a region including the two-dimensional barcode pattern PT, that is, the processing target region is the region RG2, the process proceeds to step S8. In step S8, image processing for the second region RG2 is performed. Here, it is assumed that a so-called normal image correction process (smoothing process) is performed as the image processing process for the region RG2. More specifically, the smoothing process with a high degree of processing, more specifically, the largest smoothing degree (processing degree) expressed in three stages of “strong”, “medium”, and “weak”. A smoothing process of degree “strong” is performed. Here, the processing degree of the smoothing process in step S8 is the same as the processing degree of the smoothing process in step S11. As described above, when the center region RG2 is set as the processing target region, the image processing for the second region RG2 is executed in step S8. Then, when the process of step S8 ends, the process proceeds to step S9.

  On the other hand, when it is determined that the processing target region is a region including the two-dimensional barcode pattern PT, that is, the processing target region is the region RG1, the process proceeds from step S6 to step S7. For example, when the region RG11 is set as the processing target region, the process proceeds to step S7.

  In step S7, image processing for the first region RG1 is executed.

  FIG. 10 is a diagram showing the detailed operation of step S7. As shown in FIG. 10, first, in step S21, it is determined whether or not the error detection rate Re is larger than a predetermined value R1 (for example, several percent).

  If the error detection rate Re is less than or equal to the predetermined value R1, it is determined that the degradation of the scanned image GS is within an allowable range, and the process proceeds to step S28. In step S28, a smoothing process having the same intensity as in step S8 is executed. Thereby, the process of step S7 is complete | finished.

  On the other hand, when the error detection rate Re is larger than the predetermined value R1, it is determined that the deterioration of the scanned image GS is larger than the predetermined level, and the process proceeds to step S27. In step S27, the execution of the smoothing process is prohibited. As a result, the process of step S7 ends without performing the smoothing process. Thereby, for example, when the error detection rate Re of the region RG1 (RG11 to RG14) is larger than the predetermined value R1, a specific image processing process (smoothing process) is not performed on each of the regions RG11 to RG14.

  When the process of step S7 ends, the process proceeds to step S9.

  In step S9, another image processing process (here, edge enhancement process) is executed. Here, it is assumed that the other image processing processing (edge enhancement processing) is always executed regardless of whether the processing target region is the region RG1 or the region RG2. In other words, the image processing process (edge enhancement process) in step S9 is executed on the entire scan image GS. In addition, the image processing in step S9 is executed with the same parameter (degree of processing) for both the region RG1 and the region RG2.

  In step S10, it is determined whether or not each of the above processes (steps S5 to S9) has been completed for all of the plurality of regions RG11 to RG14, RG2. If there is an unfinished area, the process returns to step S5 again, and the same operation is executed. When the above processing (steps S5 to S9) has been completed for all the regions, the image processing for the scanned image GS is completed and an image GP (see FIGS. 1 and 4) is generated. Thereafter, under the control of the output control unit 29, the image GP after image processing is printed out using the print output unit 13, and a copy output GB is generated.

  According to the operation as described above, different processes are performed on the first region RG1 and the second region RG2. Specifically, a part of the plurality of image processing processes (smoothing process) included in the image processing for the scanned image GS is performed on the second region RG2, while The region RG1 is prohibited and is not executed. In other words, a specific image processing process (smoothing process) performed on one area RG2 of both areas of the first area RG1 and the second area RG2 It is not applied to the other region RG1. Therefore, it is possible to avoid or suppress deterioration of the specific format pattern (two-dimensional barcode pattern) in the first region RG1 while performing appropriate processing on the second region RG2. As a result, it is possible to suppress a decrease in the reading rate of digital information at the time of copying or scanning after the next generation.

  Here, only when the predetermined condition is satisfied, the specific image processing (smoothing) is not performed on the region RG1. Therefore, it is possible to change whether or not to perform the specific image processing on the region RG1 according to the necessity of the specific image processing. Particularly, since the error detection rate Re is larger than the predetermined value R1 as the predetermined condition here, the deterioration state of the two-dimensional barcode pattern PT in the scan image GS can be appropriately reflected.

<1-4. Modification to First Embodiment>
In the first embodiment, a case where a specific image processing process (smoothing process) for the region RG1 is prohibited only when the condition that the error detection rate Re is larger than the predetermined value R1 is satisfied is illustrated. However, it is not limited to this. For example, when other conditions are also satisfied, a specific image processing process (smoothing process) for the region RG1 may be prohibited. Or you may make it always prohibit a specific image processing process (smoothing process) with respect to area | region RG1, without satisfying | filling predetermined conditions.

  In the first embodiment, the specific image processing for the region RG1 (RG11 to RG14) based on the overall error detection rate Re (the average value) of the plurality of regions RG11 to RG14 included in the region RG1. However, the present invention is not limited to this. For example, based on the error detection rate Re for each of the regions RG11 to RG14, it may be determined whether or not to execute a specific image processing process (smoothing process or the like) for each of the regions RG11 to RG14.

  In the first embodiment, the case where the process proceeds to step S28 (FIG. 10) when the equal sign is established in the comparison between the error detection rate Re and the predetermined value R1 is illustrated, but the present invention is not limited to this. You may make it progress to S27.

  Moreover, although the case where the edge enhancement process is executed after the smoothing process is illustrated in the first embodiment, conversely, the edge enhancement process may be executed before the smoothing process. Good.

  In the first embodiment, two image processing processes, a smoothing process and an edge emphasis process, are executed as the image processing, and only the smoothing process of both image processing processes is performed in both regions RG1, RG2. However, the present invention is not limited to this.

  For example, step S9 (FIG. 6) may be deleted, and only the smoothing process may be executed as the image process. More specifically, the edge enhancement processing is not executed for both regions RG1 and RG2, and only smoothing processing is selectively executed for both regions RG1 and RG2 as image processing. Also good.

  Further, the image processing that is selectively performed on both the regions RG1 and RG2 is not limited to the above-described smoothing processing.

  For example, the above concept may be applied to the density adjustment process (particularly the density reduction process).

  If a relatively strong density reduction process is performed on the entire area of the scanned image GS (FIG. 7), the barcode pattern PT may be thinner than a predetermined level in the copied output ( (See post-processing image GC in FIG. 11). When the copied output is further copied, there is a problem that the barcode pattern PT cannot be read.

  On the other hand, the above idea is applied to the density reduction process, and the density reduction process is performed on the second region RG2, while the density reduction process is not performed on the first region RG1, An image GP for print output may be generated. FIG. 12 shows that the region RG1 (including the two-dimensional barcode pattern PT) is not subjected to the density reduction process, and only the region RG2 is subjected to the density reduction process. According to this, deterioration of the two-dimensional barcode pattern PT due to the density reduction process can be avoided.

  Or you may make it apply said idea regarding a base color provision process.

  Assuming that the base color applying process is performed on the entire area of the scanned image GS, if the color of the barcode pattern PT is close to the color of the base color, the barcode pattern PT is reproduced in the copy output. May not be identified with respect to the background (see post-processing image GC in FIG. 13). Therefore, there is a problem that the barcode pattern PT cannot be read when further copying the copied output product.

  On the other hand, the above idea is applied to the base color applying process, and the specific image processing (base color applying process) is performed on the second region RG2, while the specific image processing (base color) is performed. (Giving process) may not be performed on the first region RG1. FIG. 14 shows that the region RG1 (including the two-dimensional barcode pattern PT) is not subjected to the base color applying process, and only the region RG2 is subjected to the base color applying process. According to this, it is possible to avoid the deterioration of the two-dimensional barcode pattern PT due to the base color applying process.

  Or you may make it apply said idea regarding a scaling process (especially reduction process).

  As shown in FIG. 15, if the reduction process is performed on the entire area of the scanned image GS (FIG. 7), the barcode pattern PT may be crushed and cannot be identified in the copy output. . For this reason, there is a problem that the barcode pattern PT cannot be read when further copying the copied output product.

  On the other hand, the above idea is applied to the reduction process, and the specific image processing (reduction process) is performed on the second region RG2, while the specific image processing (reduction process) is performed on the first area RG2. The region RG1 may not be applied. FIG. 16 shows that the region RG1 (including the two-dimensional barcode pattern PT) is not subjected to the reduction process, and only the region RG2 is subjected to the reduction process. According to this, deterioration of the two-dimensional barcode pattern PT due to the reduction process can be avoided. The scaling process is also referred to as a pixel number conversion process or a resolution conversion process.

  Further, the above concept may be applied to other image processing processes. For example, the above-described idea can be applied to the background removal process.

  Furthermore, the above-described idea may be applied to each of a plurality of image processing processes. For example, both the smoothing process and the density reduction process may be performed on the region RG2 and not performed on the region RG1.

<2. Second Embodiment>
In the first embodiment, the case where specific image processing is prohibited for the first region RG1 is illustrated, but the present invention is not limited to this. In the second embodiment, with respect to a specific image processing process, the processing degree for the first region RG1 (smoothing degree in the smoothing process) is set to be smaller than the processing degree for the second region RG2. Illustrate. Below, it demonstrates centering on difference with 1st Embodiment.

  FIG. 17 is a flowchart showing a part of the operation according to the second embodiment. Also in the second embodiment, the same operation as in FIG. 6 is executed as in the first embodiment. However, in the second embodiment, the operation in step S7 is different from that in the first embodiment. FIG. 17 is a flowchart showing a detailed operation of step S7 (S7b) according to the second embodiment.

  As shown in FIG. 17, in step S7b, first, in step S31, it is determined whether or not the error detection rate Re is larger than a predetermined value R3 (for example, 1%).

  When the error detection rate Re is equal to or less than the predetermined value R3, it is determined that the degradation of the scanned image GS is within the allowable range, and the process proceeds to step S33. In step S33, the same strength (processing degree) DG1 smoothing process as in step S8 is executed.

  On the other hand, when the error detection rate Re is larger than the predetermined value R3, it is further determined whether or not the error detection rate Re is larger than a predetermined value R4 (for example, several percent). Here, the value R4 is larger than the value R3 (R4> R3).

  When it is determined that the error detection rate Re is greater than the predetermined value R3 and equal to or less than the predetermined value R4, the process proceeds to step S34. In step S34, a smoothing process with a processing degree DG2 ("medium") smaller than the processing degree DG1 ("strong") in step S8 is executed. That is, DG2 <DG1. As described above, the degree of the smoothing process on the region RG1 is reduced, so that further image deterioration can be suppressed.

  If it is determined that the error detection rate Re is larger than the predetermined value R4, the process proceeds to step S35. In step S35, a smoothing process is executed with a processing degree DG2 ("medium", which is a processing degree DG3 ("weak") smaller than that in step S34. That is, DG3 <DG2. By further reducing the degree of the smoothing process, further image deterioration can be suppressed.

  According to the operation as described above, different image processing is performed on the first region RG1 and the second region RG2. Specifically, in the specific image processing (smoothing processing) included in the image processing for the scan image GS, the processing degrees for the first region RG1 and the second region RG2 are different from each other. Specifically, the degree of processing (DG2 or DG3) for the first region RG1 is smaller than the degree of processing (DG1) for the second region RG2. Therefore, it is possible to avoid or suppress deterioration of the specific format pattern (two-dimensional barcode pattern) in the first region RG1 while performing appropriate processing on the second region RG2. As a result, it is possible to suppress a decrease in the reading rate of digital information at the time of copying or scanning after the next generation.

  In this embodiment, the degree of processing for the first region RG1 is changed according to the error detection rate Re. Specifically, the processing degree DG in the smoothing process decreases as the error detection rate Re increases. According to this, as the image degradation of the scan image GS increases, the further image degradation can be appropriately suppressed by reducing the degree of smoothing of the region RG1.

  Note that the second embodiment can be modified in the same manner as the modified example of the first embodiment.

  For example, the processing degree for each of the regions RG11 to RG14 in the specific image processing (smoothing) may be changed according to the error detection rate Re of each of the regions RG11 to RG14.

  Further, the order of the edge processing and the smoothing processing may be reversed, or only a single image processing processing (smoothing processing) may be executed as the image processing for the scan image GS.

  Further, the image processing process executed in a different manner for both regions RG1 and RG2 is not limited to the smoothing process. You may make it apply the thought similar to the said 2nd Embodiment regarding a density adjustment process, a base color provision process, a scaling process, etc. FIG.

  More specifically, the density reduction process is performed on the second region RG2 with a predetermined processing degree DG11, while the processing degree on the first region RG1 is changed according to the error detection rate Re, and then the density is changed. The reduction process may be performed on the first region RG1. More specifically, as described above, as the error detection rate Re increases, the processing degree DG for the first region RG1 in each image processing process is set to a smaller value (DG12, DG13, etc.). That's fine. The value DG12 is smaller than the value DG11, and the value DG13 is smaller than the value DG12 (DG11> DG12> DG13).

  The same applies to other types of image processing.

  Further, the above idea may be applied to each of a plurality of image processing processes. For example, a certain image processing process (smoothing process or the like) is performed on the regions RG1 and RG2 with different processing degrees, and another image processing process (density reduction process or the like) is performed on the regions RG1 and RG2. On the other hand, it may be applied at different processing degrees.

  Furthermore, among a plurality of image processing processes, an operation similar to that of the first embodiment is executed for a certain image processing process, and an operation similar to that of the second embodiment is executed for another image processing process. May be. For example, certain image processing (magnification processing, etc.) is not performed on the region RG1, but only on the region RG2, and other image processing (smoothing, etc.) is performed on the regions RG1 and RG2. Alternatively, they may be applied at different processing degrees.

<3. Third Embodiment>
In each of the above embodiments, the case where copyright information or the like is embedded in the two-dimensional barcode pattern PT has been illustrated. In the third embodiment, in addition to the copyright information and the like, information indicating the allowable range of the processing degree of each image processing process (also referred to as processing degree restriction information or processing parameter restriction information) is a two-dimensional barcode pattern PT. The case where it is embedded in is illustrated. In each of the above embodiments, the case where the contents of the image processing for the first region RG1 are changed based on the error detection rate Re is exemplified. However, in the third embodiment, the two-dimensional barcode pattern is changed. An example in which the contents of the image processing for the first region RG1 are changed based on the “processing degree restriction information” embedded in the PT will be exemplified. The third embodiment is a modification of the second embodiment. Below, it demonstrates centering on difference with 2nd Embodiment.

  FIG. 18 is a diagram illustrating a permissible range of the degree of processing of each image processing process. It is assumed that the two-dimensional barcode pattern PT according to the third embodiment includes data TB1 in an area surrounded by a broken-line rectangle in FIG.

  For example, “P01” indicating the processing type number and “lower limit value: 0.5” and “upper limit value: 1.2” of the allowable range regarding the processing degree of the processing are included in the two-dimensional barcode pattern PT. ing. The MFP 10a recognizes that the processing type number “P01” is an image processing process (brightness adjustment process) related to “brightness”, and the lower limit value of the allowable range regarding the processing level of the image processing process is 0.5. It also recognizes that the upper limit is 1.2.

  Similarly, “P02” indicating the processing type number and “lower limit value: weak” and “upper limit value: medium” of the permissible range regarding the processing degree of the processing are included in the two-dimensional barcode pattern PT. The MFP 10a recognizes that the process type number “P02” is an image processing process (brightness adjustment process) related to “smoothing (smoothing process)”, and the lower limit value of the allowable range of the processing level related to the process is “weak”. ”And the upper limit value is“ medium ”.

  Similarly, “P03” indicating the process type number and “lower limit value: 1.00” and “upper limit value: 4.00” of the allowable range regarding the processing degree of the process are included in the two-dimensional barcode pattern PT. include. The MFP 10a recognizes that the processing type number “P03” is an image processing process (magnification process) related to “magnification”, and the lower limit value of the allowable range of the process degree related to the process is “1.00”. It is also recognized that the upper limit value is “4.00”.

  The same applies to other image processing processes, and the two-dimensional barcode pattern PT includes a process type number of each image processing process and information indicating an allowable range of the processing degree in each image processing process.

  Note that such an allowable range may be determined based on, for example, the performance of a print output apparatus (here, MFP 10b) that prints out the print output GA. Specifically, the allowable range is set relatively wide when the print output performance of the print output apparatus is relatively high, and the allowable range is set when the print output performance of the print output apparatus is relatively low. Should be set relatively narrow.

  Here, the MFP 10a automatically sets a processing parameter (processing degree) in each image processing process or sets it based on designation from the user. For example, the MFP 10a determines that the image processing regarding “lightness” should be performed with the parameter of the normal value “1.0”. Alternatively, the MFP 10a may determine that the brightness adjustment process should be performed with a parameter of the instruction value “1.5” from the user based on an explicit instruction from the user. Note that the instruction value from the user can be set to an arbitrary value within a settable range in the MFP 10a using the operation input unit 16a or the like. FIG. 18 shows that the settable range in the MFP 10a in the image processing regarding brightness is a range of 0.5 or more and 4.0 or less.

  The same applies to the other image processing processes. For example, the MFP 10a determines that the image processing regarding “smoothing” should be performed with the parameter of the normal value “strong”.

  However, the automatic setting value (normal value or the like) and the instruction value from the user are only candidate values of processing parameters in the image processing. A processing parameter (degree of processing) for the region RG1 in the image processing is determined by appropriately correcting the candidate value based on the data TB1 included in the two-dimensional barcode pattern PT. On the other hand, this candidate value is used as it is for the second region RG2. In other words, the candidate value (candidate parameter) is the same value as the parameter indicating the degree of processing for the second region RG2.

  19 and 20 are flowcharts showing operations according to the third embodiment. As shown in FIG. 19, the operation is different from the operation of the second embodiment (FIG. 6) in that step S <b> 44 is executed after step S <b> 3 instead of step S <b> 4. Further, the operation in step S7 is also different from the operation in the second embodiment (FIG. 17), as shown in FIG. In FIG. 19, the same reference numerals (step numbers) as those in FIG. 6 are assigned to the same operations as in FIG.

  Specifically, in step S44 subsequent to step S3, processing degree restriction information (data TB1) is acquired from the two-dimensional barcode pattern PT. Specifically, the processing degree restriction information included in the digital information extracted in step S3 is acquired again in step S44.

  In step S7 (S7c), as shown in FIG. 20, first, in step S71, candidate values of processing parameters in a specific image processing process (for example, smoothing process) are obtained as the corresponding images acquired in step S44. It is determined whether or not the value is within an allowable range in the processing.

  If the candidate value is within the allowable range, the process proceeds to step S52. In step S52, a specific image processing process is executed with the same intensity as in step S8.

  On the other hand, if the candidate value is outside the allowable range, the process proceeds to step S53. In step S53, the parameter (degree of processing) in the specific image processing is changed, and the specific image processing is executed. For example, the changed parameter (processing degree) is changed to a value within the allowable range (specifically, a value close to the candidate value among the upper limit value and the lower limit value). Specifically, when the candidate value in the smoothing process is “strong” while the allowable range is “weak” to “medium”, the upper limit value and the lower limit value of the allowable range are close to the candidate value. The value “medium” is selected.

  As described above, since the above candidate value (candidate parameter) is the same value as the parameter indicating the processing degree for the second region RG2, the determination process in step S51 is the processing degree for the second region RG2. Is also a process for determining whether or not the above is out of the allowable range.

  Here, a case where a plurality of image processing processes Pi is executed is illustrated. Therefore, the processing as described above is executed for each of the plurality of image processing processes Pi. Specifically, the processes from step S51 to step S54 are repeatedly executed until it is determined in step S54 that all the processes Pi have been completed. Each image processing process Pi is exemplified by various processes such as a smoothing process, a density adjustment process, and a scaling process as described above.

  According to the operation as described above, different processes are performed on the first region RG1 and the second region RG2. Therefore, it is possible to avoid or suppress deterioration of the specific format pattern (two-dimensional barcode pattern) in the first region RG1 while performing appropriate processing on the second region RG2. As a result, it is possible to suppress a decrease in the reading rate of digital information at the time of copying or scanning after the next generation.

  In the third embodiment, the processing degree for the first region RG1 is adjusted based on the processing degree restriction information included in the two-dimensional barcode pattern PT. Specifically, the processing degree for the first region RG1 is “allowable range” on condition that the processing degree (also referred to as correction degree) for the second region RG2 deviates from the allowable range defined by the processing degree restriction information. And the specific image processing for the first region RG1 is executed. Therefore, the processing degree for the first region RG1 can be changed more flexibly in consideration of the performance of the print output apparatus and the like.

  Here, on the condition that the processing degree for the second region RG2 is out of the allowable range, the processing degree for the first region RG1 is set to a value within the allowable range, and the specification for the first region RG1 is specified. However, the present invention is not limited to this. For example, in a specific image processing process, when the processing level for the second region RG2 (also expressed as a candidate value of the processing level for the first region) is out of the “allowable range”, the first region RG1 On the other hand, the specific image processing (smoothing, etc.) may be prohibited.

  In addition, the third embodiment can be modified in the same manner as the modified example of the first and second embodiments.

<4. Fourth Embodiment>
The fourth embodiment is a modification of the third embodiment. Below, it demonstrates centering on difference with 3rd Embodiment.

  In the fourth embodiment, information indicating the allowable range of the processing degree of each image processing process (processing degree restriction information) is not embedded in the two-dimensional barcode pattern PT. However, it is assumed that the “model code” of the print output apparatus that generated the print output GA is embedded in the two-dimensional barcode pattern PT. Further, in the fourth embodiment, a data table TB2 described below is stored in the storage unit 15 (see FIG. 5) of the apparatus (MFP 10a) for copying the print output GA. This data table TB2 is a data table in which the allowable range of the degree of processing of each image processing process is determined for each model (for each model code) of the output device of the output source of the original (printed output GA, etc.). In short, it is the processing level restriction information for each model. Then, the MFP 10a determines a permissible range of the degree of processing regarding each image processing based on the data table TB2 and the model code extracted from the two-dimensional bar code pattern PT, and the permissible range for the first region RG1. Each image processing process is executed with a processing degree within the range.

  FIG. 21 is a diagram illustrating the data table TB2. As shown in FIG. 21, the allowable range of the degree of processing of each image processing process is defined for each of a plurality of model codes (M001, M002, M003,...).

  For example, for the model code “M001”, the allowable range of brightness adjustment processing is “0.5” or more and “1.2” or less, and the allowable range of smoothing processing is “weak” or more and “weak” or less. The allowable range of the double processing is specified to be “1.00” or more and “4.00” or less.

  Similarly, for the model code “M002”, the allowable range of brightness adjustment processing is “0.4” or more and “1.5” or less, and the allowable range of smoothing processing is “weak” or more and “medium” or less, The allowable range of the scaling process is specified to be “0.8” or more and “4.00” or less.

  For the model code “M003”, the allowable range of brightness adjustment processing is “0.3” or more and “1.5” or less, and the allowable range of smoothing processing is “weak” or more and “strong” or less. The allowable range of the doubling process is defined as “0.6” or more and “4.00” or less.

  The same applies to other models.

  Thus, in the data table TB2, the allowable range of the processing degree in each image processing process is determined according to the type of the print output device that generates the print output GA. The allowable range in the data table TB2 may be determined based on the performance of the print output device (here, MFP 10b) that prints out the print output GA. For example, when the print output performance of the print output apparatus is relatively high, the allowable range is set to be relatively wide, and when the print output performance of the print output apparatus is relatively low, the allowable range is relatively high. What is necessary is just to set narrowly. Specifically, the permissible range of the smoothing process (smoothing process) in the scan process for the printed output GA output by the relatively high-grade apparatus “M003” (1200 dpi output) is relatively wide (“weak” to “strong”. )). On the other hand, the permissible range of the smoothing process (smoothing process) in the scan process for the print output GA output by the relatively low-level apparatus “M001” (300 dpi output) is set to a relatively narrow range (only “weak”). Just do it. According to this, it is possible to avoid or suppress the occurrence of the collapse of the two-dimensional barcode pattern PT due to the smoothing process, particularly in a low-end model. The same applies to other image processing processes.

  22 and 23 are flowcharts showing operations according to the fourth embodiment. As shown in FIG. 22, the operation differs from the operation of the third embodiment (FIG. 19) in that step S64 is executed after step S3 instead of step S44. Also, the operation of step S7 is different from the operation of the third embodiment (FIG. 20) as shown in FIG. In FIG. 22, the same reference numerals (step numbers) as those in FIG. 19 are assigned to the same operations as those in FIG.

  Specifically, in step S64 following step S3, a model code (also referred to as model information) is acquired from the two-dimensional barcode pattern PT. Specifically, the “model code” included in the digital information extracted in step S3 is obtained again in step S64.

  In step S7 (S7d), as shown in FIG. 23, first, in step S71, the model code extracted in step S64 from the data table TB2 in the own device (MFP 10a) and the two-dimensional barcode pattern PT is used. Based on this, a permissible range of the processing degree for each image processing process is determined. For example, when the model code extracted from the two-dimensional barcode pattern PT is “M001”, the following contents are determined based on the data table TB2. Specifically, the allowable range of brightness adjustment processing is “0.5” or more and “1.2” or less, and the allowable range of smoothing processing is “weak” or more and “weak” or less (that is, “weak” only). The allowable range of the scaling process is determined to be “1.00” or more and “4.00” or less.

  Next, in step S72, it is determined whether or not the candidate value of the processing parameter in a specific image processing process (for example, smoothing process) is a value within the allowable range determined in step S71.

  If the candidate value is within the allowable range, the process proceeds to step S73. In step S73, an image processing process with the same intensity as in step S8 is executed.

  On the other hand, if the candidate value is outside the allowable range, the process proceeds to step S74. In step S74, the parameter (degree of processing) in the specific image processing is changed, and the specific image processing is executed. For example, the changed parameter (degree of processing) is changed to a value close to the candidate value among the upper limit value and the lower limit value of the allowable range. Specifically, when the candidate value in the smoothing process is “strong” and the allowable range is only “weak”, the upper limit value and the lower limit value of the allowable range (in this case, the upper limit value and the lower limit value) Is the same), the value “weak” close to the candidate value is selected.

  Thereafter, the same processing is executed for each image processing processing Pi. Specifically, the processes from step S72 to step S75 are repeatedly executed until it is determined in step S75 that all the processes Pi have been completed.

  According to such processing, the processing degree for the first region RG1 is within the allowable range on the condition that the processing degree (correction degree) for the second region RG2 deviates from the allowable range specified by the processing degree restriction information. And the specific image processing for the first region RG1 is executed. Therefore, deterioration of the two-dimensional barcode pattern PT in the first region RG1 can be avoided or suppressed.

  In particular, in the fourth embodiment, the data table TB2 defines processing degree restriction information in each image processing process for each type of print output device (ie, model). The degree of processing in image processing can be adjusted more flexibly.

  Specifically, in the third embodiment, it is assumed that the relationship between each processing number P01 to P20 and its processing content is fixed, but in this fourth embodiment, each processing number P01 to The relationship between P20 and its processing content can be arbitrarily defined in the data table TB2. That is, the data table TB2 can define processing degree restriction information regarding different types of image processing for each type (ie, model) of the print output apparatus. For example, regarding the model “M003”, it is possible to define processing degree restriction information regarding a plurality of image processing processes including a different type of image processing process from the model “M001”. According to this, it is possible to prescribe | regulate the suitable process degree restriction | limiting information according to each model still more flexibly.

  In the fourth embodiment, the two-dimensional barcode pattern PT does not need to have processing degree restriction information for each of a plurality of image processing processes, and the print output device that has generated the print output GA. It only needs to have a model code. Therefore, the amount of information embedded in the two-dimensional barcode pattern PT can be suppressed.

  Here, on the condition that the processing degree for the second region RG2 is out of the allowable range, the processing degree for the first region RG1 is set to a value within the allowable range, and the specification for the first region RG1 is specified. The case of executing the image processing process is exemplified. However, the present invention is not limited to this, and in a specific image processing process, when the processing degree for the second region RG2 is out of the allowable range, the specific image processing process (smoothing) is performed on the first region RG1. Processing etc.) may be prohibited.

  In addition, the fourth embodiment can be modified in the same manner as the modified example of the first and second embodiments.

<5. Fifth Embodiment>
In the fifth embodiment, a case where password information is embedded in the two-dimensional barcode pattern PT is exemplified. The fifth embodiment is a modification of the first embodiment. Below, it demonstrates centering on difference with 1st Embodiment.

  24 and 25 are flowcharts showing the operation according to the fifth embodiment. 24 and 25, the same reference numerals (step numbers) as in FIG. 6 are assigned to the same operations as in FIG. Below, it demonstrates centering on difference with FIG.

  In step S81, it is determined whether or not password information has been extracted from the two-dimensional barcode pattern PT in the information extraction process of step S3.

  Here, in the fifth embodiment, it is assumed that password information is always embedded in the two-dimensional barcode pattern PT. Therefore, when password information is not extracted in step S81 even though the presence of the two-dimensional barcode pattern PT is confirmed in step S2, reading of the password information from the two-dimensional barcode pattern PT has failed. Means that.

  If the MFP 10a recognizes that the password information is not successfully read, the MFP 10a proceeds to step S86 (FIG. 25) and is prohibited from outputting the image GP based on the scanned image GS. According to this, when the password cannot be read from the two-dimensional barcode pattern PT, it is possible to prevent a subsequent inappropriate copy operation.

  On the other hand, if the password information is extracted, the process proceeds to step S82 after executing the process of step S4.

  In step S82, it is determined whether or not the error detection rate Re is smaller than a predetermined value Rth. When the error detection rate Re is larger than the predetermined value Rth, the process immediately proceeds to step S86 (without performing the process of step S83), and the output of the image GP based on the scanned image GS is prohibited. According to this, when the image deterioration of the two-dimensional barcode pattern PT has reached a predetermined level, it is possible to avoid the subsequent inappropriate copying operation.

  On the other hand, when the error detection rate Re is smaller than the predetermined value Rth, the process proceeds to step S83. In step S83, the user is requested to input a password, and the validity of the input password is determined in step S84. The process proceeds to step S5 only when it is confirmed that the input password matches the regular password. On the other hand, if the input password does not match the regular password, the process proceeds to step S86, and the output of the image GP based on the scanned image GS is prohibited. According to this, it is possible to prevent a subsequent inappropriate copy operation.

  The processing after step S5 is the same as that in the first embodiment. In step S85, output of the target image GP is permitted.

  If it is determined in step S2 that the two-dimensional barcode pattern PT is not included in the scan image GS, the process of step S11 is executed, and then, via step S12 (= step S9), Proceed to step S87. In step S87, output of the target image GP is permitted.

  In the operation as described above, even if the password information is extracted from the two-dimensional barcode pattern PT (step S81), if the error detection rate Re is larger than the predetermined value Rth (step S82), the scanned image is immediately acquired. Output of the image GP based on GS is prohibited (step S86). According to this, when the image of the two-dimensional barcode pattern PT is deteriorated due to repeated copying or the like, the print output operation (in consideration of the possibility that the reliability of the password itself is lowered) Copy operation) can be prohibited. According to this, it is possible to maintain security regarding the document.

  In addition, the same modification as the modification with respect to the said 1st-4th embodiment is possible also with respect to this 5th Embodiment.

<6. Modified example>
Although the embodiments of the present invention have been described above, the present invention is not limited to the contents described above.

  For example, in the first embodiment described above, a specific image processing process (smoothing process or the like) is not performed on the first region RG1, but is performed on the second region RG2. However, it is not limited to this. Specifically, conversely, a specific image processing process may be performed on the first region RG1, but not performed on the second region RG2. As the specific image processing process (image deterioration prevention process), for example, an edge enhancement process may be employed. According to this, the edge of the two-dimensional barcode pattern PT in the region RG1 can be emphasized while the edge enhancement process is not performed on the region RG2. Therefore, it is possible to prevent image deterioration of the two-dimensional barcode pattern PT and maintain readability of the two-dimensional barcode pattern PT. Further, it is not necessary to perform unnecessary image processing on the region RG2. Note that the specific image processing may be a part of a plurality of image processing included in the image processing, or may be a single (only) image processing included in the image processing. There may be.

  In the second embodiment, with respect to a specific image processing process (smoothing process or the like) included in the image processing, the processing degree for the first region RG1 is set smaller than the processing degree for the second region. Although the case was illustrated, it is not limited to this. On the other hand, regarding a specific image processing (for example, edge enhancement processing) included in the image processing, the processing degree for the first region RG1 is set larger than the processing degree for the second region, and both regions RG1, RG2 are set. An image processing process may be performed. For example, an edge enhancement process may be employed as the partial image processing process (image deterioration prevention process). According to this, by further emphasizing the edge of the two-dimensional barcode pattern PT in the region RG1, image degradation of the two-dimensional barcode pattern PT is prevented, and the readability of the two-dimensional barcode pattern PT is maintained. It is possible. Note that the specific image processing may be a part of a plurality of image processing included in the image processing, or may be a single (only) image processing included in the image processing. There may be.

  Moreover, in each said embodiment, although the two-dimensional barcode pattern was illustrated as a specific format pattern in which digital information was embedded, it is not limited to this. For example, a one-dimensional barcode pattern may be used. Alternatively, the specific format pattern may be a background pattern instead of a barcode pattern. FIG. 26 is a diagram showing such a modification.

  FIG. 26 is a diagram illustrating a scanned image obtained by scanning a document having a document region RD and a photo region RP. A tint block pattern PJ is embedded in the document region RD. The tint block pattern PJ includes digital information similar to the digital information included in the two-dimensional barcode pattern PT. On the other hand, the tint block pattern is not embedded in the photo region RP. In such a scanned image, the document area RD in which the tint block pattern PJ is embedded is determined as the above-mentioned area RG1, and the photographic area RP having no tint block pattern is determined as the above-mentioned area RG2, and What is necessary is just to perform a process. According to this, it is possible to avoid or suppress the deterioration of the region RG1 including the tint block pattern PJ. As a result, it is possible to suppress a decrease in the reading rate of digital information at the time of copying or scanning after the next generation.

  In each of the above embodiments, the case where the present invention is applied to image processing at the time of copying has been mainly described, but the present invention is not limited to this. For example, the present invention may be applied to image processing when scanning the print output unit GA. In other words, the print output process does not need to be executed immediately after the end of the scan process, and only the image process as described above may be executed on the scanned image GS.

  In each of the above embodiments, the case where the present invention is applied to an MFP has been mainly described. However, the present invention is not limited to this. For example, the present invention may be applied to a computer system that functions as an image processing apparatus (also simply referred to as a computer).

  Specifically, a scanner device and a printer device (print output device) are connected to a computer including a CPU and a semiconductor memory. Then, the computer acquires a scan image GS generated by the scanner device, performs image processing on the scan image GS, and generates a scan image GP after image processing. Further, the computer outputs the image GP to the printer device, and generates a print output using the printer device. In such a series of processing, the above idea may be applied to image processing executed in the computer. Specifically, it is only necessary to cause the computer to function as an image processing apparatus having the above concept by executing a predetermined program using the CPU of the computer.

10, 10a, 10b MFP
GA Printed output GB Copy output GP Processed image GS Scanned image PT Two-dimensional barcode pattern PJ Background pattern Re Error detection rate RG1, RG11-RG14 (first) region RG2 (second) region TB1 (two-dimensional) Data TB2 (in barcode pattern PT) Data table (in storage 15)

Claims (6)

An image processing apparatus,
An acquisition means for acquiring a scanned image of an original;
A specifying unit that specifies a first area including a specific format pattern in which digital information is embedded and a second area not including the specific format pattern in the scanned image;
Extracting means for analyzing the specific format pattern and extracting the digital information;
An output control means for prohibiting output of an image based on the scanned image when an error detection rate at the time of extraction of the digital information is greater than a predetermined value;
An image processing apparatus comprising: The image processing apparatus according to claim 1.
The image processing apparatus according to claim 1, wherein the digital information extracted by the extracting means is password information. The image processing apparatus according to claim 1 or 2,
The image processing apparatus, wherein the specific format pattern includes at least one of a one-dimensional barcode pattern and a two-dimensional barcode pattern. The image processing apparatus according to any one of claims 1 to 3,
The image processing apparatus, wherein the specific format pattern includes a tint block pattern. An image processing method comprising:
a) identifying a first region including a specific format pattern in which digital information is embedded and a second region not including the specific format pattern in the scanned image;
b) analyzing the specific format pattern to extract the digital information;
c) prohibiting output of an image based on the scanned image when an error detection rate at the time of extraction of the digital information is greater than a predetermined value;
An image processing method comprising: a) identifying a first region including a specific format pattern in which digital information is embedded and a second region not including the specific format pattern in the scanned image;
b) analyzing the specific format pattern to extract the digital information;
c) prohibiting output of an image based on the scanned image when an error detection rate at the time of extraction of the digital information is greater than a predetermined value;
A program that causes a computer to execute.