KR100217045B1 - Sign automatic compare system - Google Patents

Abstract

A specific point is extracted from a seal input unit that obtains and outputs a seal image from the seal, an input device for allowing a user to input a command, and a seal association input from the seal input unit according to a command input from the input device. And a computer which automatically performs the seal matching operation by comparing with the stored or pre-stored data, and an output device which outputs the seal matching result in accordance with a signal input from the computer. The necessary data and seals can be digitalized through a seal input device and registered in a computer storage medium or IC card, and then the seal collation can be performed through a computer. Provide data And it provides automatic seal verification system and its control method, so in areas where the network is installed can be made anywhere in the seal verification work by.

Description

Seal auto matching system and control method

The present invention relates to an automatic seal matching system and a control method thereof, and more specifically, to fill in the necessary requirements written on the seal management account book and seal the digital data through a seal input device and register the data into a computer storage medium or an IC card. The seal matching is performed later through a computer, so that accurate and quick seal matching can be performed, and the data is provided through the network so that the seal matching can be performed wherever the network is installed. An automatic matching system and a control method thereof.

In real life, a seal is very important as a means of verifying yourself. Because the above seal is evidence that a certain legal act is done by the person, it is very reliably accepted in court, and accordingly, when the public wants to do legal act such as real estate transaction, guarantee, securities or bank transaction, etc. This is because almost every place requires a seal certificate to make it clear that it is a legal act by me. Therefore, the issuance of the seal certificate mentioned above at the request of the applicant must be done with great care.

In the past, the process of issuing a seal certificate at the request of the petitioner is performed by the official in charge after checking the authenticity of the seal by checking it with the visual inspection of the seal led by the petitioner. A seal certificate is issued.

However, the conventional seal certificate issuance process requires a relatively large amount of time for the processing of the seal because it is possible to meet the seal only in the place where the seal ledger is kept, and the public official in charge of the seal is directly contrasted. There is a problem and a problem that cannot be accurately judged to the extent that the forged seal is perfectly.

An object of the present invention is to solve the conventional problems as described above, and the necessary requirements written on the seal management register and the seal are digitalized through a seal input device and registered in a computer storage medium or an IC card. Seal matching is performed through a computer to ensure accurate and fast seal matching, while providing data through the network so that seal matching can be performed wherever the network is installed. It is to provide a system and a control method thereof.

1 is a block diagram of a seal automatic matching system according to an embodiment of the present invention.

2 is a flowchart of a seal feature value extraction algorithm of the control method of the automatic seal matching system according to the embodiment of the present invention.

3 is a diagram illustrating a reference line and a rotation angle for extracting the seal feature value of the automatic seal matching system according to an embodiment of the present invention.

4 is a diagram showing the structure of a feature point for extracting the seal feature value of the automatic seal matching system according to an embodiment of the present invention.

5 is a flowchart of a seal matching algorithm of the control method of the seal matching system according to the embodiment of the present invention.

* Explanation of symbols for main parts of the drawings

10: seal input 20: keyboard

30: mouse 40: IC card input and output

50: computer 60: monitor

70: printer

As a means for achieving the above object, the configuration of the apparatus of the present invention includes a seal input for acquiring and outputting a seal image from the seal, an input device for the user to input a command, and a command input from the input device. Accordingly, a feature for extracting feature points from the seal image input from the seal input device and storing the same or matching the stored data with the pre-stored data, and outputting a seal matching result according to the signal input from the computer. It includes an output device.

As a means for achieving the above object, the configuration of the method of the present invention comprises the steps of receiving a gray image of a seal from a seal input unit, converting a local threshold technique into a binarized image by binarizing the gray image, and using a spatial filter. Extracting only the seal area by noise-filtering the non-seal portion and filtering, setting the reference line by finding the center of the seal in the extracted seal area, extracting the rotation angle, and rotating it in the direction of the reference line; After extracting the contour of the seal using the extracted binarized image, finding the end point and the branch point from the outline and storing it as a feature value along with the binarized image of the seal area.

Another means of the method of the present invention as a means for achieving the above object, if the user inputs a seal matching command, digitizing the image of the comparative seal received through the seal input unit 10 and storing it as a gray image And retrieving a feature value of a pre-registered seal using a seal book number, a social security number, a name, etc. of the owner of the comparison seal, and using a binarization image among the feature values of the comparative seal image and the feature values of the pre-input image. Determining the rotation angle between the two seals, matching the two seals to a binarized image by matching, and determining how similar the coordinates of the feature points and the tail direction of the feature points are. To obtain the degree of similarity of the shape by drawing a graph, and to analyze the matching result using the feature value of the binarized image matching result. And outputting the result of the analysis.

Hereinafter, the most preferred embodiments of the present invention will be described with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention.

1 is a block diagram of a seal matching system according to an embodiment of the present invention. As shown in FIG. 1, the configuration of the automatic seal matching system according to the embodiment of the present invention includes a seal input device 10, a keyboard 20 and a mouse 30 for a user to input a command, and an IC card. An IC card input / output unit 40 for reading or recording stored information, and a computer having an input terminal connected to the seal input unit 10, the keyboard 20, the mouse 30, and the IC card input / output 40. It includes a main body 50, a monitor 60 and a printer 70 connected to the output terminal of the computer main body 50 described above.

The operation of the automatic seal matching system and its control method according to the embodiment of the present invention by the above configuration is as follows.

After the computer 50 boots up, the computer 50 executes the operation procedure shown in FIG. 2, which is programmed and stored in the internal storage medium of the computer 50, according to an embodiment of the present invention. The operation of the automatic seal matching system is started (S10).

When the user selects the seal input mode by using an input device such as the keyboard 20 or the mouse 30 after the operation is started, as shown in FIG. 2, the computer 50 may turn on the seal input device 10. After reading a video signal inputted through a predetermined process to extract a specific value it is stored in the internal storage medium or stored in the IC card using the IC card input and output (40). The seal input unit 10 is an apparatus having an operation characteristic of obtaining a seal image in 256 gray by converting a seal of a subject into a digital signal through a CCD camera and an A / D converter. The IC card input / output unit 40 is a device for inputting all IC cards and electronic resident cards that comply with the ISO 7816 standard. The IC card input / output unit 40 supplies power to the input card, and communicates with the card in an asynchronous manner to exchange information. To help.

The process of extracting feature values from the seal image input through the seal input unit 10 by the computer 50 will be described in more detail as follows.

First, the computer 50 receives a gray image of a seal from the seal inputter 10. The gray image described above has a continuous shade of black and white. Next, the computer 50 binarizes the gray image through a local threshold technique and converts the gray image into a binarized image. The conditional equation used here is as follows.

Here, f (x, y) is a light value of a seal image, Vthr is a threshold value, and M (k) is an average value of a subblock. The average value M (k) of the subblock can be obtained by using the following equation.

Where M is the horizontal size of the subblock and N is the vertical size of the subblock.

As such, when the binarized image is obtained, the computer 50 extracts only the seal area by noise-processing portions other than the seal using the spatial filter L (w), and the conditional equation used is as follows.

Here, R (x, y) is an image after taking a spatial filter, and THR is a threshold. The above R (x, y) can be obtained using the following equation.

Next, as shown in FIG. 3, the computer 50 finds the center of the seal in the extracted seal area, sets the reference line, extracts the rotation angle, and rotates it in the direction of the baseline. As follows.

Here, (u, v) represents the coordinates rotated, and (x, y) represents the coordinates to be rotated.

Subsequently, the computer 50 extracts the outline of the seal through the following conditional expression using the binarized image extracted in the seal area.

Where G [f (x, y)] is the contour extraction function and THR is the contour extraction threshold. G [f (x, y)] can be obtained by using the following equation.

Finally, the computer 50 finds the end point, the bending point, and the branch point in the outline and stores them as feature values along with the binarized image of the seal area. 4 shows the structure of the feature point through the tail direction angle θ of the feature point. The feature values stored in this way are used as comparison data for future seal control.

On the other hand, if the user wants to contrast the seal, the user is to be obtained a new seal image through the seal input unit 10 in the field. In this case, the computer 50 causes the feature value to be obtained through the same process as described above for the digital 256 gray seal image newly input through the seal inputter 10, and then as shown in FIG. The feature values of the comparison image are compared with the feature values previously stored, and the results are output using the monitor 60 and the printer 70.

When the computer 50 compares the seal image inputted through the seal input unit 10 with previously stored data, it will be described in detail as follows.

When the user inputs a seal matching command through the keyboard 20 or the mouse 30, the computer 50 digitizes the seal image received through the seal inputter 10 and stores the image as 256 gray image. Next, the computer 50 retrieves the characteristic value of the previously entered seal using the seal book number, resident registration number, name, etc. of the seal owner entered at the site. Subsequently, the computer 50 obtains a feature value of the digital 256 gray seal image received in the field, and obtains a rotation angle between the two seals using the binarized image among the retrieved pre-input image and the feature value of the comparison image. Next, the computer 50 classifies and matches the binarized images among the feature values of the two seals. The matching matching refers to a process of considering a pre-input image among binarization images as a predetermined frame and matching the comparison images to obtain a degree of similarity of a shape. Next, the computer 50 calculates the similarity of the shapes by drawing a graph to determine how similar the coordinates of the feature point and the tail direction of the feature point among the feature values are. Finally, the computer 50 analyzes the matching result using the binarized image matching result and the feature value and outputs the final matching result.

In this case, since the image data and the collation result can be transmitted or received through computer communication, such a seal collation can be performed at a remote location.

As described above, in the embodiment of the present invention, a seal collation operation is performed through a computer after the written requirements and the seal written on the seal management register are digitalized through a seal input device and registered in a computer storage medium or an IC card. Seal automatic matching system and its control method that have the effect of making the seal collimation work anywhere and where the network is installed by providing data through the network by providing accurate and fast seal control work by making it happen. Can be provided. Such effects of the present invention can be modified and used by those skilled in the art without departing from the gist of the present invention in the field of office automation systems.

Claims (11)

A feature that extracts and stores feature points from a seal input that obtains and outputs a seal image from the seal, an input device for allowing a user to input a command, and a seal image input from the seal input according to a command input from the input device. Or an output device for automatically outputting a seal matching result in accordance with a signal input from the computer, wherein the computer automatically performs a seal matching operation by matching with previously stored data. The seal automatic matching system according to claim 1, further comprising an IC input / output unit for storing the data on the IC card or reading data from the IC card. The automatic seal matching system according to claim 1 or 2, wherein the input device uses a keyboard and a mouse. The automatic seal matching system according to claim 1 or 2, wherein the output device uses a monitor and a printer. The seal automatic matching system according to claim 1 or 2, wherein the computers are connected to each other through a communication network to exchange data and verification results so that seal matching can be performed at a remote location. Receiving the gray image of the seal from the seal input unit, converting the gray image into a binarized image through a local threshold method, and extracting only the seal area by noise-processing and filtering a portion other than the seal using a spatial filter; Finding the center of the seal in the extracted seal area, setting the reference line, extracting the rotation angle and rotating in the direction of the baseline, extracting the contour of the seal using the binarized image extracted in the seal area, and then extracting the end point from the outline. And finding a bending point and a branch point and storing them as feature values along with the binarized image of the seal area. The method according to claim 6, wherein in the process of converting a binarized image, a seal feature value extraction control method of an automatic seal matching system is used.

Here, f (x, y) is a light value of a seal image, Vthr is a threshold value, M (k) is an average value of a subblock, M is a horizontal size of a subblock, and N is a vertical size of a subblock. The method of claim 6, wherein in the seal region extraction process, the following conditional equation is used.

Here, R (x, y) is an image after taking a spatial filter, and THR is a threshold. The method according to claim 6, wherein in the rotation process, the seal feature value extraction control method of the automatic seal matching system, characterized in that using the following condition equation.

Here, (u, v) represents the coordinates rotated, and (x, y) represents the coordinates to be rotated. The method of claim 6, wherein in the contour extraction process, the following conditional equation is used.

When the user inputs a seal check command, the user receives the seal input command, and digitizes the image of the comparison seal and stores the image as a gray image, and the seal entered by using the owner's seal book number, social security number, and name of the comparison seal. Retrieving a rotation angle between the two seals using a binarized image among the feature values of the comparative seal image and the feature values of the pre-input image, and matching matching to the binarized image among the feature values of the two seals. Classifying them, calculating the similarity of shapes by drawing a graph to determine how similar the coordinates of the feature points and the tail direction of the specific points among the feature values of the two seals are obtained, and matching the binarized image And analyzing the matching result using a specific value and outputting a final matching result. The seal contrast control method of the automatic seal matching system.

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