KR20240012626A - Authenticator capable of self-authentication and adult authentication - Google Patents

Abstract

The authentication device of the present invention can detect whether or not an ID card has been forged or altered, and includes an ID authentication unit that determines the type of ID card, an identity authentication unit that determines the identity by acquiring measured face data or measured fingerprint data, and letters containing numbers. It may include an adult authentication unit that uses data to determine whether one is an adult, an ID authentication unit, an identity authentication unit, and a control unit that controls steps performed in the adult authentication unit.
The authentication device of the present invention can confirm the identity of the person based on biometric data scanned from an ID card, including a plastic ID card and a digital ID card, and biometric data measured on the actual person. Additionally, the authentication device of the present invention can detect forgery and alteration of the ID card itself using a hologram or infrared ink.

Description

Authentication device capable of self-authentication and adult authentication {Authenticator capable of self-authentication and adult authentication}

The present invention relates to an authentication device that determines whether the ID card itself has been forged or altered, and determines whether the ID card is authentic and whether the ID card is an adult by comparing the biometric information of the ID card that has been found to be authentic with the individual's face or fingerprint information.

With the advent of the 4th revolutionary society and the advancement of the Internet society, the overall complexity of the social system has opened, creating an era in which people must authenticate their identity.

In addition, as the coronavirus spreads around the world, non-face-to-face services have become common, and non-face-to-face society as a whole has become online, such as ordering, lectures, classes, tests, account opening and banking transactions, cell phone opening, and product transactions. As a result, the business field of related services is growing explosively.

However, even in this non-face-to-face era, there are legal and institutional procedures that require face-to-face authentication for essential and important money, real estate, important product transactions, important contracts, etc.

However, when members of society engage in these face-to-face services, even though there are procedures to verify ID cards and ID card holders, it is done as a formality. As a result, crimes related to Daepo bankbooks, Daepo cars, and Daepo phones have developed intelligently, which shows that there are human functional limitations in the process of verifying the owner.

There is a legal system in place to verify ID when making financial/mobile phone transactions/real estate transactions, but the method of authenticating one's identity is a human-based method of comparing the ID with the actual document, so it is extremely subjective, so there is no suitable alternative to verifying a fake ID.

The authentication device of the present invention can confirm the identity of the person based on biometric data scanned from an ID card, including a plastic ID card and a digital ID card, and biometric data measured on the actual person.

Additionally, the authentication device of the present invention can detect forgery or alteration of the ID card itself by using the hologram or infrared ink data of the ID card.

The authentication device of the present invention can detect whether or not an ID card has been forged or altered, and includes an ID authentication unit that determines the type of ID card, an identity authentication unit that determines the identity by acquiring measured face data or measured fingerprint data, and letters containing numbers. It may include an adult authentication unit that uses data to determine whether one is an adult, an ID authentication unit, an identity authentication unit, and a control unit that controls steps performed in the adult authentication unit.

The authentication device of the present invention detects forgery and alteration of the plastic ID card itself, and determines the identity of the user based on biometric information including the face or fingerprint present on the ID card and the plastic ID card, and biometric measurement data of the person actually encountered. .

The present invention can independently perform the identification of the ID card forgery or type of ID by the ID authentication unit, the determination of the identity of the user by the identity authentication unit, and the determination of the adult status by the adult authentication unit (140) without connection to an external PC or the Internet.

At least one of the ID authentication unit, identity authentication unit, adult authentication unit, and control unit of the present invention may be miniaturized into a handheld type or may be attached to other products, including vending machines, as a module type.

1 is a configuration diagram of an authentication device of the present invention.
Figure 2 is a flow chart of ID card data of the present invention.
Figure 3 is a configuration diagram of the face unit and fingerprint unit of the present invention.
Figure 4 is a step flow chart of the facial unit of the present invention.
Figure 5 is a flow chart of the steps of the fingerprint unit of the present invention.

Due to environmental factors such as the rapid increase in wages and the global coronavirus pandemic, the demand for unmanned convenience stores and unmanned calculators in large supermarkets is rapidly increasing.

However, despite this demand, there is no appropriate device to ban the sale of alcohol and cigarettes to minors, so despite this market demand, it is not being activated.

In addition, cigarette vending machines must be equipped for unmanned cigarette sales, but according to Article 34, Paragraph 2 of the National Health Promotion Act, cigarette vending machines must be equipped with an adult authentication device, and those who violate this are subject to a fine of 750,000 won for the first time and 150,000 won for the second time. A fine of 10,000 won and 3 million won for the third time is added. However, adult authentication devices that can be attached to vending machines have not yet been developed, so revitalizing cigarette vending machines is a long way off.

In addition, a certification device is needed to prevent proxy testing for important exams such as university exams/nationally recognized certifications/scholastic ability tests/TOEIC.

In addition, since the coronavirus pandemic, minors have been purchasing alcohol through delivery services (Coupang Eats, Baedal Minjok, Yogiyo) at a significant level, and there is no proper authentication device as well as institutional procedures to verify adults.

The authentication device of the present invention detects forgery and alteration of the plastic ID card 10 itself, and combines the ID card 10 and biometric information 410, 420 including the face or fingerprint present on the plastic ID card 10 with the identity of the person actually encountered. It may be a system that verifies identity based on biometric data (510,520).

Referring to FIG. 1, the authentication device of the present invention may include at least one of an ID authentication unit 100, an identity authentication unit 120, an adult authentication unit 140, a control unit 160, and an output unit.

The ID authentication unit 100 can detect whether the ID card 10 has been forged or altered and determine the type of the ID card 10.

The identification card 10 may include a resident registration card, driver's license, or passport made of common plastic.

If the identification card 10 is digital, it may include digitally encrypted authentication means such as QR Code and NFC tag. This digital ID may include at least one of a digital passport, a digital driver's license, a mobile driver's license, and a mobile ID card (DID (Autonomous Vehicle and User Information Authentication)).

The identity authentication unit 120 may acquire the measured face data 510 or the measured fingerprint data 520 to determine whether the person is the person.

The adult authentication unit 140 can determine whether an adult is an adult using the ID card character data 430 including numbers engraved on the ID card 10, such as a resident registration number.

The control unit 160 may control steps performed in at least one of the ID authentication unit 100, the identity authentication unit 120, and the adult authentication unit 140.

An ID scanning unit 102 may be provided that scans the ID card 10 and generates ID data 400 that can identify the user.

The output unit may output the determination result of at least one of the ID authentication unit 100, the identity authentication unit 120, and the adult authentication unit 140 on paper or the like and present it to the user.

For example, when the ID card 10 is inserted, the ID card scanning unit 102 can read the information engraved on the ID card 10 using a line scan method and extracts all information engraved on both sides of the ID card 10. can do. The ID scanning unit 102 may be an ultra-thin ID scanning camera structure using line scan CMOS. The ID scanning unit 102 can recognize optical fingerprints of 40 mm or less.

Existing authentication devices connect to an external fingerprint acquisition device and perform the function of comparing the ID fingerprint with the actual fingerprint to determine the identity of the individual. However, the recognition algorithm itself is written based on a PC, so it must be connected to an external electronic device such as a PC. something may be needed. Therefore, the existing authentication device needed to be connected to an external PC or the Internet and use an external database.

On the other hand, the ID authentication unit 100 of the present invention determines whether the ID card has been forged or altered, the identity authentication unit 120 determines the identity, and the adult authentication unit 140 determines whether the ID card is forged or altered, using an external PC or the Internet. It can be performed independently without any connection.

At least one of the ID authentication unit 100, the identity authentication unit 120, the adult authentication unit 140, and the control unit 160 is miniaturized to a handheld type or is a module type for other products including vending machines. It may be possible to attach.

Referring to FIG. 2, the ID data 400 includes ID card face data 410, ID fingerprint data 420, ID character data 430, NFC data 440, QR data 450, and hologram data 460. ), and at least one of infrared ink data 470 may be included.

Information including the hologram data 460 and infrared ink data 470 may be used by the ID authentication unit 100 to determine whether the ID card 10 itself has been forged or altered.

That is, the ID authentication unit 100 can determine whether the ID card 10 presented has been forged or altered based on the hologram data 460 or the infrared ink data 470.

The control unit 160 may perform identity authentication by the identity authentication unit 120 or adult authentication by the adult authentication unit 140 after determining whether the ID card 10 has been forged or altered by the ID authentication unit 100. there is. Adult authentication by the adult authentication unit 140 may be performed after identity authentication by the identity authentication unit 120 is performed.

The identity authentication unit 120 can use the ID card face data 410 and the ID card fingerprint data 420, and identifies the face and fingerprint on the ID card 10 from the extracted feature values for the face and fingerprint on the ID card 10. Or it can be classified.

When the ID card 10 is a digital type, the present invention may include a camera capable of recognizing the QR data 450 of the digital ID card 10 and can receive NFC data 440 of the digital ID card 10. It may include a wireless communication unit. The camera and wireless communication unit may be included in the ID scanning unit 102.

Therefore, the ID scanning unit 102 can determine whether the ID has been forged or altered and the type of ID regardless of whether it is a plastic ID or a digital ID.

In the case of the digital ID 10, just as the ID face data 410 and ID fingerprint data 420 obtained from a plastic ID card are used, the NFC data 440 and QR data 450 are stored in the identity authentication unit 120. can be used by

The control unit 160 can decrypt the encrypted biometric information of the digital identification card 10 from the QE Code recognized by the camera. In addition, the control unit 160 compares the decrypted biometric information of the digital ID 10 with measurement data including measurement face data or measurement fingerprint data for the actual person by the identity authentication unit 120, and performs the authentication procedure. can be performed.

Likewise, the control unit 160 can decrypt the encrypted biometric information of the digital identification card 10 transmitted by the wireless communication unit. The wireless communication unit may be an NFC tag-type short-distance wireless communication means.

In addition, the control unit 160 compares the decrypted biometric information of the digital ID 10 with measurement data including measurement face data or measurement fingerprint data for the actual person by the identity authentication unit 120, and performs the authentication procedure. can be performed.

When identity authentication is performed by the identity authentication unit 120, the adult authentication unit 140 can determine whether the person is an adult based on the ID card character data 430 obtained from the ID card scanning unit 102.

If it is determined by the ID authentication unit 100 that the ID card 10 is not forged or altered, the control unit 160 may perform an identity authentication procedure by the identity authentication unit 120.

Referring to FIGS. 3 to 5, a face unit 200 is provided that extracts and classifies feature values from the ID card face data 410 scanned from the ID card 10 and the measured face data 510 taken directly from the person. It can be.

A fingerprint unit 300 may be provided that extracts and classifies feature values from the ID fingerprint data 420 scanned from the ID 10 and the measured fingerprint data 520 taken directly from the person.

The face unit 200 includes a face capture unit 210, a face shape recognition unit 220, a face posing and projection unit 230, a face shape feature value extraction unit 240, and a face shape transformation feature value extractor 250. ), and a final facial feature value classification unit 260.

The face photographing unit 210 can generate measured face data 510 by photographing the person's face.

The facial shape recognition unit 220 can generate a facial shape ROI (Region of Interest) using the ID card face data 410 and the measured face data 510, and can detect main facial structures from the generated ROI. there is. The facial shape recognition unit 220 may use a technique that uses vector features that indicate the amount of change in brightness and have directionality when creating an ROI. These techniques may include Histogram of Gradient (HOG).

The face posing and projection unit 230 can use the ID card face data 410 and the measured face data 510 to find a specific point that serves as a facial landmark. For example, a facial landmark may consist of 68 landmarks.

The face posing and projection unit 230 performs the task of moving the eyes and mouth to the center of the image as much as possible based on the positions of the eyes and mouth among specific points including the jaw line, the inner edge of the eyebrow, the outer edge of the eye, and the mouth line (affine). transformation) can be performed.

The face posing and projection unit 230 can correct the position of the face and improve the recognition rate even on face data that is not looking straight ahead.

The facial shape feature value extraction unit 240 may use the ID card face data 410 and the measured face data 510 and extract the facial shape feature value using an artificial intelligence model. The artificial intelligence model used by the facial shape feature value extraction unit 240 may include a deep learning model such as Deep Convolutional Neural Network (DNN) or Residual Network (ResNet). ResNet of the facial shape feature value extraction unit 240 can use 128 measurement values extracted through DNN.

In facial shape feature extraction 240, the same person may have almost the same facial shape feature values in two different photos, and there may be a large difference in facial shape feature values from different people. Facial shape feature extraction 240 can use the difference (distance) in facial shape feature values between different people as an indicator.

Using the facial shape deformation feature value extraction unit 250, the ID face data 410, and the measured face data 510, the ID face data 410 and the measured face data 510 in various directions and in various sizes and ratios are extracted. The final characteristic value for determining that the person is the same person can be generated.

The facial shape deformation feature value extraction unit 250 can generate and then embed a plurality of additional images using the jitter image method, and the result of ResNet (Residual Network) using the plurality of embedded images. The final feature value can be derived from the average value of .

The final facial feature value classification unit 260 may classify the ID card face data 410 and the measured face data 510 using the final feature value of the facial shape deformation feature value extraction unit 250.

The identity authentication unit 120 may use the feature value and classification extracted from the face unit 200 to determine whether the ID card and the identity are the same person.

The identity authentication unit 120 may perform clustering on the final feature value of the final facial feature value classification unit 260. Clustering may include at least one of SVM, Chines whipers, k-means, and Chinese whispers.

The identity authentication unit 120 may perform cluster comparison between the ID card face data 410 and the measured face data 510 input to the face unit 200 or the identity authentication unit 120 and the comparison face data.

Accordingly, the identity authentication unit 120 can compare the distance of the final feature value between the ID card face data 410 and the measured face data 510 to determine whether the identity is the identity.

The fingerprint unit 300 may include at least one of a fingerprint image acquisition unit 310, a fingerprint image pre-processing unit 320, a fingerprint detailed information detection unit 330, and a fingerprint specific value calculation unit 340.

The fingerprint image acquisition unit 310 may recognize the person's fingerprint and generate measurement fingerprint data 520.

The fingerprint image pre-processing unit 320 uses the identification fingerprint data 420 and the measurement fingerprint data 520 to remove background and noise to improve the intensity between the fingerprint and the background and binarize the fingerprint. Ridge connection and thinning processing can be performed.

The center point of the fingerprint may be the place where the curve of the fingerprint ridge is greatest upward. A delta may be a place where fingerprint ridge flows converge from three directions, a bifurcation point may be a point where the ridges diverge as they progress, and an end point may be a point where the fingerprint ridges break as they progress.

The fingerprint detail information detection unit 330 can use the ID card fingerprint data 420 and the measurement fingerprint data 520, and detects only the center point and the delta among the unique unique features of the fingerprint including the branch point, end point, center point, and delta. You can use it.

The fingerprint feature value calculation unit 340 uses the identification fingerprint data 420 and the measurement fingerprint data 520 to calculate the distance from the center of the identification fingerprint data 420 and the measurement fingerprint data 520 to each center point and delta. Directional component and density can be calculated.

The identity authentication unit 120 may calculate a matching score by comparing the direction component and density of the fingerprint feature value calculation unit 340 for the identification card fingerprint data 420 and the measured fingerprint data 520, and the calculated matching score. Depending on the identity of the person, the determination can be made.

When the identity authentication unit 120 confirms that the identity card 10 matches the identity of the person, the adult authentication unit 140 determines whether the identity card 10 is an adult from the ID card character data 430 including the resident registration number engraved on the identity card 10. You can judge.

10... ID card 100... ID authentication section
102... ID card scanning section 120... Identity authentication section
140... Adult authentication unit 160... Control unit
200... face unit 210... face recording unit
220... Face shape recognition unit 230... Face posing and projection unit
240... Facial shape feature value extraction unit 250... Facial shape deformation feature value extraction unit
260... Face final feature value classification unit 300... Fingerprint unit
310... Fingerprint image acquisition unit 320... Fingerprint image preprocessing unit
330... Fingerprint detail information detection unit 340... Fingerprint feature value calculation unit
400... ID card data 410... ID card face data
420... ID card fingerprint data 430... ID card character data
440... NFC data 450... QR data
460... Holographic data 470... Infrared ink data
510... measured face data 520... measured fingerprint data

Claims (13)

An ID authentication unit that detects whether the ID card has been forged or altered and determines the type of ID card;
An identity authentication unit that determines identity by acquiring measured face data or measured fingerprint data;
An adult authentication unit that determines adult status using ID card character data including numbers;
a control unit that controls steps performed in the ID authentication unit, identity authentication unit, and adult authentication unit; An authentication device comprising:
According to claim 1,
An ID scanning unit is provided that scans the ID card and generates ID data identifying the individual,
An authentication device in which, when the ID card is inserted into the ID card scanning unit, the ID card scanning unit extracts information engraved on both sides of the ID card using a line scanning method.
According to claim 1,
An ID scanning unit is provided that scans the ID card and generates ID data identifying the individual,
The identification data includes information engraved on the identification card including holographic data or infrared ink data,
The ID authentication unit determines whether the presented ID has been forged or altered based on the hologram data or infrared ink data,
An authentication device in which identity authentication by the identity authentication unit and adult authentication by the adult authentication unit are performed after the ID authentication unit determines whether the ID card has been forged or altered.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate ID face data from the information engraved on the ID card,
A face photographing unit is provided to generate measured facial data by photographing the person's face,
A facial shape recognition unit is provided to generate a facial shape ROI (Region of Interest) using the ID card face data and measured face data, and to detect main facial structures from the generated ROI,
A face posing and projection unit is provided to find specific points that serve as landmarks on the face using the ID face data and measured face data,
The facial shape recognition unit uses a technique that represents the amount of change in brightness and uses vector features with direction when creating an ROI,
The face posing and projection unit performs the task of moving the face to the center of the image as much as possible based on the positions of the eyes and mouth among specific points including the jaw line, the inner edge of the eyebrow, the outer edge of the eye, and the mouth line. An authentication device that improves the recognition rate even on face data that is not looking straight ahead while correcting its position.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate ID face data from the information engraved on the ID card,
A face photographing unit is provided to generate measured facial data by photographing the person's face,
A facial shape feature value extraction unit is provided to extract facial shape feature values using the ID card face data and measured face data and an artificial intelligence model,
A facial shape transformation feature value extraction unit is provided to generate final feature values for determining that the person is the same person from face data in various directions and of various sizes and ratios, using the ID card face data and measured face data,
In the facial shape feature extraction, the same person has almost the same facial shape feature values in two different photos, and there is a large difference in facial shape feature values from different people,
The facial shape feature extraction uses the difference (distance) in facial shape feature values between different people as an indicator,
The facial shape deformation feature value extraction unit generates a plurality of additional images, embeds them, and derives a final feature value using the plurality of embedded images.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate ID face data from the information engraved on the ID card,
A face photographing unit is provided to capture the person's face and generate measured facial data,
A facial shape transformation feature value extraction unit is provided to generate final feature values for determining that the person is the same person from face data in various directions and of various sizes and ratios, using the ID card face data and measured face data,
A facial final feature value classification unit is provided to classify the ID card face data and the measured face data using the final feature value of the facial shape transformation feature extractor,
The identity authentication unit performs clustering on the final feature value of the facial final feature value classification unit, performs a cluster comparison of the input ID card face data and measured face data and the comparison face data, and performs cluster comparison of the ID card face data and the measured face data. An authentication device that determines identity by comparing the distance of the final feature value between measured facial data.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate ID fingerprint data from the information engraved on the ID card,
A fingerprint image acquisition unit is provided to recognize the person's fingerprint and generate measurement fingerprint data,
Using the ID fingerprint data and measured fingerprint data, a fingerprint image pre-processing unit removes the background and noise to improve the intensity between the fingerprint and the background, binarizes it, and performs fingerprint ridge connection and thinning processing. prepared,
A fingerprint detail information detection unit is provided that detects and uses only the center point and the delta among the unique unique points of the fingerprint including the bifurcation point, end point, center point, and delta, using the ID fingerprint data and measurement fingerprint data,
The center point of the fingerprint is where the curve of the fingerprint ridge is greatest upward, the delta is where the fingerprint ridge flows converge from three directions, the branch point is the point where the ridge divides as it progresses, and the end point is where the fingerprint ridge flows. Authentication device that is the breaking point as it progresses.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate ID fingerprint data from the information engraved on the ID card,
A fingerprint image acquisition unit is provided to recognize the person's fingerprint and generate measurement fingerprint data,
A fingerprint feature value calculation unit is provided that calculates the direction component and density from the center of the fingerprint data to each center point and delta using the ID fingerprint data and measurement fingerprint data,
The identity authentication unit calculates a matching score by comparing the direction component and density of the fingerprint feature value calculation unit with respect to the identification fingerprint data and the measured fingerprint data, and determines identity according to the calculated matching score.
According to claim 1,
An authentication device that can perform the identification of the identity card forgery and the type of identification by the identity verification unit, the determination of identity by the identity verification unit, and the determination of adult status by the adult verification unit without connection to an external PC or the Internet.
According to claim 1,
An ID scanning unit is provided to scan the ID card and generate the ID card character data from the information engraved on the ID card,
When it is confirmed by the identity authentication unit that the identity card matches the identity of the person, the adult authentication unit determines whether the identity is an adult based on character data of the identity card including the resident registration number engraved on the identity card.
According to claim 1,
The ID is a digital ID,
Includes a camera that recognizes the QR Code of the digital ID,
The control unit decrypts the encrypted biometric information of the digital ID from the QE Code recognized by the camera,
An authentication device in which the control unit performs an authentication procedure by comparing decrypted biometric information of the digital ID with measurement data about the actual person by the identity authentication unit.
According to claim 1,
The ID is a digital ID,
It includes a wireless communication unit that receives encrypted biometric information of the digital ID,
The control unit decrypts the encrypted biometric information of the digital identification card transmitted by the wireless communication unit,
An authentication device in which the control unit performs an authentication procedure by comparing decrypted biometric information of the digital ID with measurement data about the actual person by the identity authentication unit.
According to claim 1,
The ID authentication unit, identity authentication unit, adult authentication unit, and control unit are an authentication device that can be miniaturized into a handheld type or attached to other products, including vending machines, in a module type.