TW202301190A - Apparatus and method for grading printed card - Google Patents

Abstract

A device for grading a printed card according to an embodiment disclosed herein comprises a communication circuit, memory, and a processor electrically connected with the communication circuit and the memory. The processor may: acquire a scanned image of a card to be evaluated; use the communication circuit to acquire a sample image corresponding to the card to be evaluated and provided by a manufacturer of the card to be evaluated; calculate a centering score associated with the position of a characteristic part of the card to be evaluated by comparing the scanned image and the sample image; calculate a fault score associated with flaws included on the surface or edges of the card to be evaluated by analyzing the scanned image; and provide a grading result for the card to be evaluated on the basis of the centering score and the fault score.

Description

Grading device and method for printed cards

Embodiments disclosed in the present invention relate to an apparatus and method for performing grading to evaluate the quality of printed cards.

Collecting is a common hobby of human beings. The objects of collection are very wide and the methods can be very diverse. As a hobby, you can choose to exchange cards as one of the collection objects. Trading cards are photo cards that contain images of specific people or characters, and sports-related cards, in particular, have been gaining traction among consumers. In the case of trading cards, each card may include an image of a different character and may be made of a different color or a different material.

Usually, manufacturers of exchange cards sell combinations including arbitrary cards to collectors without disclosing the contents of the cards. Therefore, many collectors need to exchange cards with other collectors or buy cards from other collectors in order to obtain the cards they want. For exchange or sale of cards, it is necessary to evaluate the quality status of exchange cards. To this end, various service providers have emerged that evaluate and guarantee the grade of exchanged cards, and collectors evaluate the quality status of the cards they own through grading service providers.

The problem to be solved by the invention

Conventional card rating service providers do not disclose clear criteria for evaluation criteria and perform ratings based on the subjectivity of service providers, so there is a problem that it is difficult to ensure the objectivity of ratings. Also, grading takes a long time and is expensive, which can be a huge burden for collectors.

Embodiments of the present invention provide a device and method for quickly rating cards based on objective evaluation criteria using a computing system.

means of solving problems

A rating device for printed cards according to an embodiment disclosed in the present invention includes: a communication circuit; a memory; and a processor, the processor is electrically connected to the communication circuit and the memory, and the processor acquires a scanned image of the evaluation object card, A sample image corresponding to the evaluation object card provided by the manufacturer of the evaluation object card is obtained by using a communication circuit, and by comparing the scanned image with the sample image, the centering related to the position of the characteristic portion of the evaluation object card is calculated Score, by analyzing the scanned image, calculates a defect score related to defects included in the surface or end of the evaluation object card, and based on the center score and the defect score, a rating result on the evaluation object card can be provided.

According to an embodiment, the processor obtains a plurality of scanned image points from the borders of the features appearing in the scanned image, and obtains a plurality of samples corresponding to the plurality of scanned image points from the borders of the features appearing in the sample image. Image point, by comparing the positions of multiple scanned image points and multiple sample image points, the information on the position and angle of the characteristic part of the evaluation object card can be obtained based on the position and angle of the characteristic part of the evaluation object card. The angle information is used to calculate the centering score representing the difference between the position of the characteristic part appearing in the sample image and the position of the characteristic part of the evaluation target card.

According to an embodiment, the processor marks the mark corresponding to the position and type of the defect on the scanned image, and can calculate the mark included in A defect score indicating the degree of defect in a surface or tip.

According to an embodiment, the processor may calculate the defect score based on the relationship between the defect type and saturation and the relationship between the defect type and material.

The method for grading printed cards according to an embodiment disclosed in the present invention may include: a step of acquiring a scanned image of the evaluation object card; and a step of obtaining a sample image corresponding to the evaluation object card provided by the manufacturer of the evaluation object card ; by comparing the scanned image with the sample image, the step of calculating a centering score related to the position of the feature portion of the evaluation object card; by analyzing the scanned image, calculating the surface or end portion included in the evaluation object card a step of demerit scores related to the defects; and a step of providing rating results on evaluation object cards based on the center score and the demerit scores.

The effect of the invention

According to the disclosed embodiments of the present invention, by comparing and analyzing the scanned image of the evaluation object card and the sample image, the centering state of the evaluation object card can be objectively evaluated quickly and economically.

Moreover, by analyzing the scanned image of the card to be evaluated and scoring the defects existing in the card, the surface and end state of the card to be evaluated can be objectively evaluated quickly and economically.

In addition, various effects determined directly or indirectly by the present invention can be provided.

Hereinafter, some embodiments of the present invention will be described in detail through exemplary drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that various changes, equivalents, or substitutions of the embodiments of the present invention are included. When attaching reference numerals to constituent elements in each drawing, care should be taken that the same constituent elements have the same reference numerals as much as possible even if they are shown in different drawings. Also, in the description of the embodiments of the present invention, if it is judged that the specific description of the relevant structure or function interferes with the understanding of the embodiments of the present invention, the detailed description will be omitted.

FIG. 1 shows an operating environment of a rating device for printing cards according to an embodiment.

Referring to FIG. 1 , a rating device 100 according to an embodiment may acquire a scanned image of an evaluation target card 10 from an external device (eg, a scanner or other computing equipment). In the present invention, the evaluation object card 10 or the printed card is one of various printed materials used for storage, and may be, for example, a sports exchange card. The rating device 100 can obtain the sample image of the evaluation target card 10 from an external server.

The grading device 100 can perform grading of the evaluation object card 10 using the scanned image and the sample image. The evaluation target card 10 may have defects due to various factors such as printing errors at the time of production, cutting errors, or negligence in post-purchase management. The sample image is an image produced by the manufacturer, which may be an image of a card in an ideal state that does not include the above-mentioned errors. By analyzing the scanned image and the sample image of the evaluation target card 10 , the rating device 100 can calculate a centering score, a surface score, an edge score, a corner score, and the like. The centering score may be a score related to the position and angle of the card's feature border. The surface score may be a score related to defects present on the surface of the card. The edge score may be a score related to defects present on the edge of the card. The corner score may be a score related to defects present at the corners of the card.

The rating device 100 can calculate a total score by adding the center score, the surface score, the edge score and the corner score, and the rating of the evaluation target card 10 can be performed based on the total score.

The examples described above are illustrative descriptions for understanding this document, and the protection scope of the invention claims herein is not limited thereto. Hereinafter, a specific method for rating printed cards will be described in detail.

Fig. 2 is a block diagram showing the composition of a rating device for printed cards according to an embodiment.

Referring to FIG. 2 , a rating device 200 for printing cards according to an embodiment may include a communication circuit 210 , a memory 220 and a processor 230 . The rating device 200 for printing cards can be a computing device, for example, a desktop computer, a laptop computer, a tablet computer, a smart phone, etc. as a user terminal, and can be implemented in the form of a server. In this case, the grading device 200 for printing cards may be more physically located on premise or in the cloud. As another example, the rating device 200 for printing cards can be realized by two or more computing devices in a distributed environment (for example: a user terminal and a server).

The communication circuit 210 may be configured to communicate with the outside in a wireless manner or in a wired manner. The communication circuit 210 can send/receive data with an external server or other external devices.

Memory 220 may include volatile memory 220 and/or non-volatile memory 220 . The memory 220 may store various materials processed by the card-printing grading device 200 . For example, the memory 220 can store data processed inside the rating device 200 for printing cards, and can even store data received from the outside.

The processor 230 can be electrically connected to the communication circuit 210 and the memory 220 . The processor 230 can control the communication circuit 210 and the memory 220, and can perform various data processing and calculations. Although processor 230 is shown in FIG. 2 as a single configuration, it may also be implemented in multiple separate fashions. Processor 230 may provide the user with tools for grading printed cards. The processor 230 executes software or instructions stored in the memory 220 to perform the following actions.

According to an embodiment, the processor 230 may acquire a scanned image of the evaluation object card. Processor 230 may acquire a scanned image of a scanned evaluation object card from a scanner or other external computing device. The scanned image may be a high-resolution image capable of confirming, for example, various defects included in the evaluation object card.

According to an embodiment, the processor 230 may use the communication circuit 210 to acquire a sample image corresponding to the evaluation target card provided by the manufacturer of the evaluation target card. The processor 230 may acquire, as a sample image, a card image corresponding to an ideal state of an evaluation target card without defects from an external server. The sample image can be acquired based on identification information capable of identifying the evaluation target card.

According to an embodiment, the processor 230 may calculate a centering score related to the position of the characteristic portion of the evaluation target card by comparing the scanned image with the sample image. The evaluation target card may include, for example, a feature portion surrounded by a frame including a person. For example, the frame can be made into a square shape (with rounded corners) or other shapes. The feature portion may not include a frame. Due to printing errors, cutting errors, or process margins, etc., the characteristic part may not be located in the center of the evaluation target card, and the printing angle of the characteristic part is more likely to be inclined clockwise or counterclockwise. In this case, the quality of the evaluation target card may decrease, so it is necessary to calculate the centering score by considering the position and angle of the characteristic part. The closer the position of the characteristic part is to the center of the evaluation target card and the closer the inclination angle of the characteristic part is to 0, the higher the calculated centering score may be.

For example, processor 230 may obtain a plurality of scanned image points from the bounding box of a feature appearing in the scanned image. The processor 230 may acquire 4 scanned image points corresponding to 4 corners of the square frame (rounded corners) from the scanned image. In the case that the frame has a different shape or does not include a frame, appropriate feature points can be acquired as scanned image points by analyzing the scanned image. The processor 230 may acquire a plurality of sample image points corresponding to a plurality of scanned image points from a border of a feature appearing in the sample image. The processor 230 may acquire 4 sample image points corresponding to 4 corners of the square frame (rounded corners) from the sample image. In the case that the frame has a different shape or does not include a frame, appropriate feature points can be obtained as sample image points by analyzing the sample image. Each of the plurality of sample image points may correspond to each of the plurality of scanned image points. The processor 230 can obtain information about the position and angle of the characteristic portion of the evaluation target card by comparing the positions (or coordinates) of the plurality of scanned image points and the plurality of sample image points. The processor 230 may calculate a centering score representing a difference between a position of a characteristic portion appearing in a sample image and a position of a characteristic portion of the evaluation object card based on information on the position and angle of the characteristic portion of the evaluation object card. The smaller the aforementioned differences, the higher the likely centered score calculated.

According to an embodiment, the processor 230 may calculate a defect score related to a defect included on the surface or end of the evaluation object card by analyzing the scanned image. Defect scores may include surface scores, edge scores, and corner scores. Defects caused by printing errors, cutting errors, and/or carelessness may exist in the surface, edges, or corners of the evaluation target card. Defects present on the surface can be categorized, for example, as scratches (e.g. scratched by other objects), dust (e.g. dust adhered to the surface of the card), mis-coloration (e.g. wrong color printing), roll marks (e.g. Ex: printing errors such as dents, printlines, surface dimples), fingerprints (e.g. smudges caused by fingerprints), glue (e.g. external outflow of adhesive), dirt (filth) (for example: pollution caused by dirt) and coating bubbles (for example: bubbles generated when cards are coated) and other types. Defects present at edges or corners can be classified as cases of cutting errors during manufacturing and/or cases of wear due to management negligence. In the presence of the above-mentioned defects, the quality of the evaluation target card may decrease, so it is necessary to consider all the defects existing in the evaluation target card to calculate the defect score. Since the types and sizes of defects have different effects on the card quality, different weights can be applied according to the types and sizes of defects during scoring.

For example, the processor 230 may mark a sign corresponding to the location and type of the defect on the scanned image by analyzing the scanned image. The processor 230 may use a canvas (Canvas) to mark a defective portion on the scanned image. The shape or color of the mark may be set differently to correspond to the kind of the defect, and the size of the area where the mark is marked may correspond to the size of the defect. The processor 230 can calculate the defects included on the surface or the edge representing the degree of defects based on the mark (for example: the coordinates and area of the mark), the saturation of the area corresponding to the mark on the scanned image, and the material of the evaluation object card. Fraction. The processor 230 may calculate the defect score based on the relationship between the type of defect and the saturation and the relationship between the type of defect and the material. For example, when there is a white printing error in an area with low saturation, it may affect the quality of the evaluation target card more than when there is a defect in an area with high saturation. For another example, a scratch on a paper card may have less influence on the quality of the evaluation target card than a defect on a chrome card. A more accurate defect score can be calculated by taking into account the type of defect, the saturation of the area where the defect is located, and the material of the card being evaluated.

According to an embodiment, the processor 230 may provide a rating result of the evaluation object card based on the middle score and the defect score. For example, the processor 230 may add the middle score and the defect score (for example: 900 points), and output a grade (for example: grade 9) corresponding to the range of the added scores (for example: 875~925 points).

As described above, by utilizing a computing system to perform ratings based on objective criteria, reasonable evaluation results can be provided to consumers quickly and economically.

Fig. 3 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment.

Referring to FIG. 3 , a rating apparatus according to an embodiment may acquire a scanned image 310 of an evaluation object card, and may acquire a sample image 320 corresponding to the evaluation object card. The acquisition of the scanned image and the acquisition of the sample image can be performed simultaneously, and can be performed in reverse order. It is also possible to acquire sample images of various types of cards in advance and store them in the memory.

The rating device may use the scanned image and the sample image to calculate a center score 330 , calculate a surface score 340 , calculate an edge score 350 , and calculate a corner score 360 . The calculation of center score, surface score, edge score and corner score can be performed independently, and the calculation order can also be set arbitrarily. Furthermore, some of the four points may be combined with each other, and may be further divided into two or more items.

The rating device can provide a rating result 370 of the evaluation target card by using the calculated four scores. Rating results can be provided as scores, and more importantly, as grades.

Fig. 4 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment.

Referring to FIG. 4 , the rating device according to an embodiment can calculate the middle score by comparing the sample image 410 with the scanned images 420 , 430 .

The sample image 410 is an image provided by the manufacturer, which may be an ideal image of the feature 411 printed in the exact center of the sample image 410 at a precise angle. The rating device may acquire feature points corresponding to the four corners of the feature portion 411 . In the sample image 410 , the left margin and the right margin of the characteristic part 411 may be the same, and the upper margin and the lower margin may be the same.

The first scanned image 420 may be an image of a scanned first evaluation object card. The feature 421 of the first scanned image 420 may be offset to the right due to a printing error or cutting error. The rating device may acquire feature points corresponding to the four corners of the feature portion 421 . The rating device can confirm the deviation degree of the characteristic part 421 based on the coordinates of the four characteristic points of the characteristic part 411 and the coordinates of the four characteristic points of the characteristic part 421, and can calculate the center score based on the degree of deviation (length). Due to the deviation of the characteristic part 421, the quality of the first evaluation object card is reduced, and thus the center score is reduced according to the degree of deviation.

The second scanned image 430 may be an image of a scanned first evaluation object card. Due to printing errors or cutting errors, the feature portion 433 of the second scanned image 430 may be positioned in a state of clockwise rotation. The rating device may acquire feature points corresponding to the four corners of the feature portion 433 . The ranking device can confirm the degree of rotation of the characteristic part 433 based on the coordinates of the four characteristic points of the characteristic part 411 and the coordinates of the four characteristic points of the characteristic part 433, and can calculate the center score based on the degree of rotation (angle). Due to the rotation of the characteristic part 433, the quality of the second evaluation object card is lowered, and thus the centering score is lowered according to the degree of rotation.

In Fig. 4, the case where the feature part has a frame has been described, but it is not limited thereto. In the case where the feature part does not have a frame, another feature point can be extracted from the image, and the centering score can be calculated using the extracted feature point.

Fig. 5 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment.

Referring to FIG. 5 , a rating apparatus according to an embodiment may calculate a defect score on a surface of an evaluation object card by analyzing a scanned image 510 .

The scanned image 510 of the evaluation target card may include defects such as roll marks 511 , scratches 512 and coating bubbles 513 on the surface. The grading device can identify defects existing on the surface of the evaluation target card by analyzing the scanned image 510 . Defects present on the surface of the card may correspond to portions that impair the continuity of the image. Therefore, the parts with defects, such as roll marks 511 , scratches 512 , and coating bubbles 513 , can be identified by analyzing the brightness, saturation, and color of the picture elements constituting the image. The grading device can mark parts with defects such as roll marks 511 , scratches 512 and coating bubbles 513 on the canvas of the scanned image 510 . The color or type of the flag can be set in a manner corresponding to the kind of defect. The area of the mark may correspond to the size of the defect. The rating device can calculate defect scores based on the type (or color), coordinates, and area of the mark. When calculating the defect score, the rating device may further consider the saturation of the defective area and the material of the evaluation object card together.

Fig. 6 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment.

Referring to FIG. 6 , a rating apparatus according to an embodiment may calculate a defect score about an edge of an evaluation object card by analyzing a scanned image 610 .

The edge portion of the scanned image 610 of the evaluation target card may include a defect caused by a cutting error at the time of manufacturing or careless management. The grading device can analyze the scanned image 610 to identify the defects existing on the edge of the evaluation target card. The color, brightness, saturation, and/or shape of the defective edge region 611 may be different from the remaining edge region without defects. Therefore, the defect existing at the edge can be identified by analyzing the scanned image 610 . The rating device may calculate a defect score based on the degree and size of the defect. When calculating the defect score, the grading device may consider together the saturation of the defective area and the material of the evaluation object card.

Fig. 7 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment.

Referring to FIG. 7 , the grading apparatus according to an embodiment may calculate a defect score about a corner of an evaluation object card by analyzing a scanned image 710 .

The corner portion of the scanned image 710 of the evaluation target card may include defects caused by cutting errors during manufacturing or management negligence. The grading device can analyze the scanned image 710 to identify defects in the corners of the evaluation target card. The color, brightness, saturation and/or shape of the defective corners 711 may be different from the remaining edge intervals without defects, and the defects existing in the corners may be identified by analyzing the scanned image 710 . The rating device may calculate a defect score based on the degree and size of the defect. When calculating the defect score, the grading device may consider together the saturation of the defective area and the material of the evaluation object card.

FIG. 8 is a flow chart illustrating a method of grading printed cards according to an embodiment.

Hereinafter, it is assumed that the printing card grading apparatus of FIG. 2 executes the process of FIG. 8 . Also, in the description of FIG. 8 , the actions described as being performed by the rating device 200 for printing cards can be understood as being controlled by the processor 230 .

Referring to FIG. 8 , in step 810 , the device may acquire a scanned image of the evaluation object card.

In step 820, the device may acquire a sample image corresponding to the evaluation target card provided by the manufacturer of the evaluation target card.

In step 830, the device may calculate a centering score related to the position of the characteristic portion of the evaluation target card by comparing the scanned image with the sample image.

In step 840, the device may calculate a defect score related to a defect included in a surface or an end of the evaluation object card by analyzing the scanned image.

In step 850, the device may provide a rating result of the evaluation object card based on the center score and the defect score.

The embodiments of the present invention and the terms used therein are not intended to limit the technology described in the present invention to specific implementations, but should be understood to include various changes, equivalents and/or replacements of the embodiments. With regard to the description of the figures, similar reference numerals may be used for similar structural elements. A singular expression may include a plural expression unless the context clearly dictates otherwise. In the present invention, expressions such as "A or B", "at least one of A and/or B", "A, B or C" or "at least one of A, B and/or C" may include the listed items all possible combinations. Expressions such as "first", "second", "first" or "second" may modify the corresponding structural elements, regardless of order or importance, and are only used to distinguish one structural element from other structural elements, and This structural element is not limited. When referring to a structural element being "connected (functionally or communicatively)" or "connected" to another structural element, one of the aforementioned structural elements is directly connected to the other structural element, or may be connected via the other structural element.

In the present invention, depending on the circumstances, "adapted to or configured to" and "adapted to or configured to" can be used in conjunction with "adapted to or configured to", "adapted to or configured to" and "modified in ~" in terms of hardware or software, for example. ", "made in ~ way", "able to ~" or "designed in ~ way" are used interchangeably. In some cases, the expression "a device configured in a manner" may mean that its device is "capable of" interacting with other devices or components. For example, the sentence "a processor arranged (or configured) to perform A, B, and C" may refer to a special-purpose processor (such as an embedded processor) for performing that action, or a One or more programs in a memory device, a general-purpose processor (eg, a central processing unit (CPU)) capable of performing the action.

The term "module" used in the present invention includes a unit (unit) composed of hardware, software or firmware (firmware), for example, may be used interchangeably with terms such as logic, logic block, component or circuit. A "module" may be an integrally formed component or the smallest unit that performs one or more functions or a part thereof. A "module" is implemented mechanically or electronically, and may include, for example, known or to-be-developed application-specific integrated circuit (ASIC) chips, field-programmable gate arrays, (field-programmable gate arrays, FPGAs) or programmable logic devices.

At least a part of the apparatus (for example: multiple modules or multiple functions thereof) or method (for example: multiple actions) according to an embodiment may be implemented as instructions stored in a computer-readable storage medium in the form of a program module . When the processor executes the above instructions, the processor may perform functions corresponding to the above instructions.

A structural element (such as a module or a program module) according to an embodiment can be composed of a single or multiple individuals, and some of the aforementioned substructural elements can be omitted, or can include other substructural elements . Alternatively or additionally, some structural elements (eg, modules or program modules) may be integrated into one entity to perform the same or similar functions as those performed by each corresponding structural element before being integrated. Actions performed by modules, program modules, or other structural elements according to an embodiment may be performed sequentially, in parallel, iteratively, or heuristically, or at least some of the actions may be performed in a different order, omitted, or Other actions can be added.

10: Evaluation object card 100: rating device 200: Rating device for printed cards 210: communication circuit 220: memory 230: Processor 310: Obtain the scanned image of the evaluation object card 320: Obtain a sample image corresponding to the evaluation object card 330:Calculate centered score 340: Calculate surface fraction 350:Calculate edge score 360: Calculating Corner Scores 370: Provide rating results of evaluation object cards 410: sample image 411: Feature Department 420: The first scanned image 421: Feature Department 430: The second scanned image 433: Feature Department 510: scan image 511: Roll marks 512: Scratches 513: coating bubbles 610: scan image 710: scan image 711: corner 810: step 820: step 830: step 840: step 850: step

FIG. 1 shows an operating environment of a rating device for printing cards according to an embodiment. Fig. 2 is a block diagram showing the composition of a rating device for printed cards according to an embodiment. Fig. 3 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment. Fig. 4 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment. Fig. 5 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment. Fig. 6 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment. Fig. 7 is a diagram for explaining an exemplary operation of a rating device for printed cards according to an embodiment. Fig. 8 is a flow chart for explaining a method of grading printed cards according to an embodiment. Regarding the description of the drawings, the same or similar reference numerals may be used for the same or similar structural elements.

10: Evaluation object card

100: rating device

200: Rating device for printed cards

Claims (5)

A rating device for printed cards, comprising: communication circuit, memory, and a processor electrically connected to the communication circuit and the memory; The processor executes the following process, Get a scanned image of the card on the subject of the assessment, acquiring a sample image corresponding to the evaluation object card provided by the manufacturer of the evaluation object card by using the communication circuit, calculating a median score related to the position of the characteristic portion of the evaluation object card by comparing the scanned image with the sample image, calculating a defect score associated with a defect included in the surface or end of the evaluation object card by analyzing the scanned image, Based on the center score and the defect score, a rating result on the evaluation object card is provided. The rating device as claimed in claim 1, wherein, The processor executes the following process, acquiring a plurality of scanned image points from a border of a feature appearing in said scanned image, obtaining a plurality of sample image points corresponding to the plurality of scanned image points from borders of features appearing in the sample image, obtaining information on the position and angle of the characteristic portion of the evaluation object card by comparing the positions of the plurality of scanned image points and the plurality of sample image points, calculating the centering score representing a difference between the position of the characteristic portion appearing in the sample image and the position of the characteristic portion of the evaluation object card based on the information on the position and angle of the characteristic portion of the evaluation object card . The rating device as claimed in claim 1, wherein, The processor executes the following process, marking on the scanned image a sign corresponding to the location and type of the defect, Based on the mark, the saturation of an area corresponding to the mark on the scanned image, and the material of the evaluation object card, calculating a defect representing a degree of defect included in the surface or the end portion Fraction. The rating device as claimed in claim 3, wherein, The processor executes the following process, The defect score is calculated based on the relationship between the type of defect and the saturation and the relationship between the type of defect and the material. A method for grading printed cards, comprising: Steps to obtain a scanned image of a card on the subject of assessment; a step of acquiring a sample image corresponding to the evaluation object card provided by the manufacturer of the evaluation object card; the step of calculating a median score related to the position of the characteristic portion of the evaluation object card by comparing the scanned image with the sample image; a step of calculating a defect score associated with a defect included in the surface or end of the evaluation object card by analyzing the scanned image; and A step of providing a rating result on the evaluation object card based on the center score and the defect score.

Images