TWI770433B - Anti-counterfeiting examination equipment and anti-counterfeiting examination method - Google Patents

Abstract

An anti-counterfeiting examination equipment includes a mobile device, an automatic financial service device and a bank server device. The mobile device generates a two-dimensional image code according to the registered feature value and a service item. The automatic financial service device restores the two-dimensional image code to generate restored data. The bank server device has a member feature database, the member feature database stores a plurality of current member feature values, and the bank server device compares each current member feature value with the restored data from the automatic financial service device, to determine whether the registered feature value of the restored data is different from each current member feature value.

Description

Anti-counterfeiting examination equipment and anti-counterfeiting examination method

The present invention relates to an automatic machine, in particular to an anti-counterfeiting examination device and an anti-counterfeiting examination method based on the machine automatic examination technology based on two-dimensional image codes related to identity recognition.

Existing financial service applications need to go to each bank branch to fill in various information, and then go through a lengthy manual review process. The disadvantage is that a lot of labor costs and time costs are wasted. How to make the financial application review process take into account safety and speed while reducing costs , but a future research direction.

Therefore, the first object of the present invention is to provide an anti-counterfeiting examination method that solves the above problems.

Therefore, the anti-counterfeiting examination method of the present invention is executed by a financial device, the financial device includes a bank server device, a mobile device, and an automatic financial service device, the bank server device has a member feature database, the member feature data The library stores a number of current membership characteristic values, including the following steps:

(A) The mobile device performs a face recognition registration process to generate a registered feature value.

(B) The mobile device generates a two-dimensional image code according to the registered feature value and a service item.

(C) Whether the automatic financial service device successfully restores the two-dimensional image code.

(D) When the restoration of the two-dimensional image code in step C is successful, the automatic financial service device generates restoration data, and the restoration data includes the registered feature value and the service item.

(F) The bank server device compares the restored data from the automatic financial service device with each current member characteristic value to determine whether the registered characteristic value of the restored data is different from each current member characteristic value .

(G) If the determination result of step (F) is yes, the bank server device enables the service item to enter a quick application process.

The second object of the present invention is to provide an anti-counterfeiting examination device.

The anti-counterfeiting examination equipment of the present invention includes a mobile device, an automatic financial service device and a bank server device.

The mobile device executes a face recognition registration procedure to generate a registered feature value, and the mobile device generates a two-dimensional image code according to the registered feature value and a service item.

Whether the restoration of the two-dimensional image code by the automatic financial service device is successful, when the restoration of the two-dimensional image code is successful, the automatic financial service device generates a restoration data, and the restoration data includes the registered feature value and the service item.

The bank server device is electrically connected to the automatic financial service device, and has a member feature database, the member feature database stores a plurality of current member feature values, and the bank server device is based on the restored data from the automatic financial service device. The current member feature value is compared to determine whether the registered feature value of the restored data is different from each current member feature value. If so, the bank server device makes the service item enter a fast application process.

The effect of the present invention is: according to the machine and the two-dimensional image code related to the identity-based identification, the financial service applied through the online application is automatically reviewed, so as to achieve rapid review and anti-counterfeiting, and the machine takes labor to reduce labor costs.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are designated by the same reference numerals.

Referring to FIG. 1 , an embodiment of an anti-counterfeiting examination apparatus of the present invention includes a bank server device 1 , a mobile device 2 , and an automatic financial service device 3 .

The mobile device 2 is installed with a financial mobile application (mobile application, hereinafter referred to as a mobile program), and has a memory 21 and a processor 22 electrically connected to the memory 21 .

The automatic financial service device 3 has an image capture device 31 for reading a Quick Response Code (Quick Response Code, hereinafter referred to as the two-dimensional image code) and a network interface 32 electrically connected to the image capture device 31 .

The bank server device 1 is electrically connected to the automatic financial service device 3 for communication connection, and includes a bank processor 11, a member feature database 12 and a blacklist database 13, and the member feature database stores a plurality of current members Characteristic value, the blacklist database stores multiple blacklist characteristic values. The communication connection can be an internet connection, or through optical fiber technology, asymmetric digital subscriber line (Asymmetric Digital Subscriber Line, ADSL) technology, or wireless local area network (Wireless Local Area Network, WLAN) connection. but not limited to a combination of connections into the Internet.

As shown in Figure 2, the anti-counterfeiting examination device performs an anti-counterfeiting examination method based on a two-dimensional image code, which includes steps (A) to (I).

Step (A): The mobile device 2 executes a face recognition registration procedure to generate a registered feature value. As shown in Figure 3, the face recognition registration procedure of step (A) includes the following sub-steps:

Sub-step (A1): The processor 22 of the mobile device 2 judges a target according to an action program whether the target has passed the in vivo verification. Further, a database of living body recognition models is established with deep neural network technology, and a random specific instruction set (such as nodding, blinking) is used to achieve living body detection.

Sub-step (A2): If the determination result of step (A1) is yes, the processor 22 of the mobile device 2 performs facial feature extraction on the target according to the mobile program, and generates a facial feature to be registered value. Further, a deep neural network technology is used to obtain face feature data in a certain amount of dimensional space.

Sub-step (A3): The bank processor 11 of the bank server 1 receives an identification information corresponding to a face feature value to be registered, and determines whether the identification information conforms to a legal document specification. Further, the judgment process of sub-step (A3) is to import the document image data, verify the document format, capture the face image in the ID card, use the feature value of the face image in the ID card and pass the living body recognition. The timely comparison and verification of the face feature values to be registered (further explanation: first calculate the similarity of these two feature values, and then compare the similarity with a threshold), if the verification is passed, the registered face will be treated. The characteristic value is encrypted, such as Advanced Encryption Standard (Advanced Encryption Standard, hereinafter referred to as: AES), Data Encryption Standard (Data Encryption Standard, hereinafter referred to as: DES), and then stored.

Sub-step (A4): If the judgment result of step (A3) is yes, the bank server device 1 returns a qualified notification to the processor 22 of the mobile device 2 via the wireless network, so that the mobile device 2 can process The device 2 executes the mobile program to take the face feature value to be registered as the registered feature value.

Sub-step (A5): The processor 22 of the mobile device 2 stores the registered feature value in the memory 21 of the mobile device 2 according to the mobile program.

Step (B): The mobile device 2 generates a two-dimensional image code according to the registered feature value and a service item.

As shown in FIG. 4 , this step (B) includes sub-steps (B1) to (B4).

Sub-step (B1): The processor root 22 of the mobile device 2 performs online registration of a corresponding service item according to the mobile program.

Sub-step (B2): The processor 22 of the mobile device 2 reads the registered feature value stored in the memory 22 of the mobile device 2 .

Sub-step (B3): The processor 22 of the mobile device 2 generates a two-dimensional image code including the service item and the registered feature value according to the mobile program.

Sub-step (B4): The processor 22 of the mobile device 2 encrypts the two-dimensional image code according to the mobile program. Encryption method For example, the facial feature data is encrypted by AES and then converted into a feature encrypted string, and the feature encrypted string is added to a two-dimensional image code anti-counterfeiting string encrypted by AES after a specific rule (such as the end of the string), The anti-counterfeiting string is composed of user serial number, service item serial number, service item information, device serial number, time serial number and other information according to certain rules and is unique and will not be repeated each time it is generated, but the encryption method in this embodiment is not limited to AES.

Step (C): Whether the restoration of the two-dimensional image code by the automatic financial service device 3 is successful, if so, go to step (D), if not, it means that the two-dimensional image code is invalid, such as exceeding the use of the two-dimensional image code Furthermore, the image capturing device 31 captures the image of the application two-dimensional image code, and generates an output data, which is transmitted to the bank server device 1 through the network interface 32 . Here, the method of restoration is further explained with AES decryption. After parsing the encrypted character string of facial features and the anti-counterfeiting encrypted string of 2D image code according to specific rules, decrypt and restore the encrypted character string. The successfully restored anti-counterfeiting string can be used to determine this Whether the QR code is valid.

Step (D): When the restoration of the two-dimensional image code in Step C is successful, the automatic financial service device 3 generates restoration data, and the restoration data includes the registered feature value and the service item.

Step (E): The bank processor 11 of the bank server device 1 compares the restored data from the automatic financial service device 3 with each blacklist feature value to determine the registered feature of the restored data Whether the value is different from each blacklist feature value, if so, go to step (F). Further, the source of the blacklist feature value is the face feature value left by fraudulent drivers, forged records, applied for other projects and the information of the documents does not match, or other financial crime records.

Step (F): The bank processor 11 of the bank server device 1 compares the restored data from the automatic financial service device 3 with each current member feature value to determine the registered feature of the restored data Whether the value is different for each current member characteristic value. Further, the feature value comparison is a feature similarity comparison method. For example, if a threshold value is set, if the similarity degree is greater than the threshold value, it is the same person.

Step (G): If the judgment result of step (F) is yes, the bank server 1 makes the service item enter a quick application process.

(H) If the determination result of step (F) is yes, the bank processor 11 of the bank server device 1 stores the registered feature value of the restored data in the member feature database as the current member features one of the values.

(I) If one of the judgment results of step (E) and step (F) is negative, the bank server device 1 sends a notification that the instruction does not match, and the notification is used to trigger a manual note process.

To sum up, the bank server device 1 of the above-mentioned embodiment automatically checks the financial services applied for through the mobile device 2 online according to the two-dimensional image code related to the machine and the identity-based identification, so as to achieve rapid review and anti-counterfeiting, and The machine takes labor to reduce labor costs, so it can indeed achieve the purpose of the present invention.

However, the above are only examples of the present invention, and should not limit the scope of the present invention. Any simple equivalent changes and modifications made according to the scope of the application for patent of the present invention and the content of the patent specification are still within the scope of the present invention. within the scope of the invention patent.

1: Bank Servo Device 11: Bank Processor 12: Member feature database 13: Blacklist Database 2: Mobile Devices 21: Memory 22: Processor 3: Automatic Financial Services Device 31: Image capture device 32: Web Interface A: Steps to generate registered feature values A1: Substeps of Judgment A2: Sub-steps of face feature extraction A3: Substeps of Identification A4: Substeps for Postback of Eligible Notifications A5: Substeps for storage B: Steps for generating two-dimensional image codes B1: Sub-steps of online registration B2: Substep of reading B3: Sub-steps of QR code B4: Substep of encryption C: Steps to restore D: Steps to restore data E: Steps of blacklist comparison F: Steps of member feature comparison G: Steps of the Express Application Process I: Steps for Indicating Non-Compliant Notifications

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, wherein: 1 is a circuit diagram of an embodiment of an anti-counterfeiting examination device of the present invention; Fig. 2 is a flow chart of this embodiment executing an anti-counterfeiting examination method; Fig. 3 is a flow chart of face recognition registration procedure; Fig. 4 is a flow chart of generating two-dimensional image code;

1: Bank Servo Device

11: Bank Processor

12: Member feature database

13: Blacklist Database

2: Mobile Devices

21: Memory

22: Processor

3: Automatic Financial Services Device

31: Image capture device

32: Web Interface

Claims (10)

An anti-counterfeiting review method is executed by a financial device, the financial device includes a bank server device, a mobile device, and an automatic financial service device, the bank server device has a member feature database and a blacklist database, the The blacklist database stores a plurality of blacklist feature values, and the member feature database stores a plurality of current member feature values, including the following steps: (A) the mobile device executes a face recognition registration procedure to generate a registered feature value; (B) the mobile device generates a two-dimensional image code according to the registered feature value and a service item; (C) whether the automatic financial service device restores the two-dimensional image code successfully; (D) when the If the two-dimensional image code is successfully restored, the automatic financial service device generates a restored data, and the restored data includes the registered feature value and the service item; (E) the bank server device is based on the restored data from the automatic financial service device. , and compare with each blacklist feature value to determine whether the registered feature value of the restored data is different from each blacklist feature value; (F) if the judgment result of step (E) is yes, the bank server The device compares the restored data from the automatic financial service device with each current member characteristic value to determine whether the registered characteristic value of the restored data is different from each current member characteristic value; (G) If the determination result of step (F) is yes, the bank server device enables the service item to enter a quick application process. The anti-counterfeiting review method as claimed in claim 1, wherein the face recognition registration procedure of step (A) includes the following sub-steps: (A1) the mobile device judges whether the target passes the target according to a mobile program In vivo verification; (A2) If the judgment result of step (A1) is yes, the mobile device performs facial feature extraction on the target according to the mobile program, and generates a facial feature value to be registered; (A3) The bank server device receives a pair of identification information corresponding to the face feature value to be registered, and determines whether the identification information conforms to a legal document specification; (A4) If the determination result in step (A3) is yes, then the The bank server device returns a qualified notification to the mobile device, so that the mobile program of the mobile device can use the face feature value to be registered as the registered feature value. The anti-counterfeiting examination method as claimed in claim 2, wherein the mobile device has a memory, wherein in the step (A4), the mobile program of the mobile device further encrypts the registered characteristic value as the registered characteristic value , the face recognition registration procedure of the step (A) further includes the following sub-steps: (A5) the mobile program of the mobile device stores the registered feature value in the memory of the mobile device. The anti-counterfeiting examination method according to claim 2, wherein the mobile device stores the registered characteristic value, wherein the step (B) includes the following sub-steps: (B1) The mobile device executes a corresponding service item according to the mobile program (B2) the mobile device reads the registered feature value stored in the mobile device; (B3) the mobile device generates a two-dimensional data including the service item and the registered feature value according to the mobile program image code; (B4) the mobile device encrypts the two-dimensional image code according to the mobile program. The anti-counterfeiting examination method according to claim 1, further comprising the following steps: (H) if the judgment result of step (F) is yes, then the bank server device stores the registered feature value of the restored data in a The member feature database is used as one of the plurality of current member feature values; (I) if one of the judgment results of step (E) and step (F) is no, the bank server device sends an instruction that does not match The notification is used to trigger a manual note process. An anti-counterfeiting review device, comprising: a mobile device that executes a face recognition registration procedure to generate a registered feature value, the mobile device generates a two-dimensional image code according to the registered feature value and a service item; An automatic financial service device, whether the restoration of the two-dimensional image code is successful, when the restoration of the two-dimensional image code is successful, the automatic financial service device generates restoration data, and the restoration data includes the registered feature value and the service item. ; A bank server device, electrically connected to the automatic financial service device, has a member feature database and a blacklist database, the blacklist database stores a plurality of blacklist feature values, and the member feature database stores a plurality of current members feature value, the bank processor of the bank server device compares the restored data with each blacklist feature value according to the restored data from the automatic financial service device to determine whether the registered feature value of the restored data is different from each Blacklist feature value, if yes, the bank server device compares the restored data from the automatic financial service device with each current member feature value to determine whether the registered feature value of the restored data is different for each A current member characteristic value, if yes, the bank server device enables the service item to enter a fast application process. The anti-counterfeiting inspection apparatus of claim 6, wherein the mobile device includes a memory and a processor electrically connected to the memory, and the processor of the mobile device determines whether the target is an object according to an action program Through the living verification, if the judgment result is yes, the mobile device will extract the face feature of the target according to the mobile program, and generate a face feature value to be registered. The bank server device receives a pair of face features to be registered. an identification information of the facial feature value of The mobile device enables the mobile program of the mobile device to use the face feature value to be registered as the registered feature value, and the processor of the mobile device stores the registered feature value in the mobile device according to the mobile program. The memory of the mobile device. The anti-counterfeiting examination apparatus of claim 7, wherein the processor of the mobile device further encrypts the registered characteristic value as the registered characteristic value according to the mobile program. The anti-counterfeiting review device of claim 7, wherein the mobile device stores the registered characteristic value, wherein: the processor of the mobile device executes an online registration of a corresponding service item according to the mobile program; the mobile device reads the data stored in the the registered feature value of the memory of the mobile device; the processor of the mobile device generates a two-dimensional image code including the service item and the registered feature value according to the mobile program; the processor of the mobile device generates a QR code according to the mobile device The mobile program encrypts the QR code. According to the anti-counterfeiting examination device of claim 6, the bank server device further comprises a bank processor, wherein: if the bank processor of the bank server device determines that the registered feature value of the restored data is different from each current Member characteristic value, the bank processor of the bank server device will restore the registered identity of the data The feature value is stored in the member feature database as one of the plurality of current member feature values.

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