WO2023211221A1

WO2023211221A1 - Method of using cryptocurrency wallet system, cryptocurrency wallet system, cryptocurrency wallet electronic device, and method of using cryptocurrency wallet electronic device

Info

Publication number: WO2023211221A1
Application number: PCT/KR2023/005806
Authority: WO
Inventors: 조우열; 안정민
Original assignee: 주식회사 이터널; 주식회사 베인컴퍼니
Priority date: 2022-04-28
Filing date: 2023-04-27
Publication date: 2023-11-02

Abstract

Disclosed is a method of using a cryptocurrency wallet system including: an electronic device including a first processor and a first communication module; and a biometric recognizer including a second processor, a scan module, and a second communication module. The method includes the steps in which: the second processor generates biometric image data by scanning a part of the human body of a user multiple times through the scan module of the biometric recognizer and analyzes the generated biometric image data to extract biometric image pattern data; the second processor controls the second communication module to transmit the generated biometric image pattern data to the electronic device; the first processor generates a first cryptographic key by primarily encrypting the extracted biometric image pattern data through a first encryption algorithm; and the first processor generates a second cryptographic key for digitally signing a transaction to be transmitted to a blockchain network by secondarily encrypting the first cryptographic key through a second encryption algorithm.

Description

How to use a cryptocurrency wallet system, a cryptocurrency wallet system, an electronic device for a cryptocurrency wallet, and a method of using an electronic device for a cryptocurrency wallet

The present disclosure relates to a method of using a cryptocurrency wallet system, a cryptocurrency wallet system, an electronic device for a cryptocurrency wallet, and a method of using an electronic device for a cryptocurrency wallet. Specifically, it relates to a method of using a cryptocurrency wallet system, and specifically, a secure method using security technology through biometrics. It relates to a method of using a cryptocurrency wallet system for the purpose of storing cryptocurrency, etc., a cryptocurrency wallet system, an electronic device for a cryptocurrency wallet, and a method of using an electronic device for a cryptocurrency wallet.

As with communication between two or more nodes in a network, it involves encryption as a technology for safe storage of sensitive data. Nodes may include mobile communication devices, tablet computers capable of data communication, laptop computers, desktops, and computing devices.

Two or more nodes may be connected by a communication network that is insecure to unauthorized third parties and vulnerable to eavesdropping or interference. Therefore, messages transmitted between nodes are often transmitted in encrypted form. When receiving a message, the intended recipient decrypts the message using various decryption methods. For example, as a method for decrypting an encrypted message, the encrypted message can be decrypted using a decryption key generated based on a public key or secret key method. In communication networks, security may be important to prevent third parties from obtaining the corresponding decryption key.

One known encryption method involves using a symmetric key algorithm. Symmetric keys are symmetrical in that the same symmetric key is used to encrypt plaintext messages and to decrypt ciphertext messages. However, the symmetric key must be transmitted securely to both nodes to prevent unauthorized access. For example, this involves physically delivering the symmetric key to the (authenticated) node so that the symmetric key is not transmitted over an insecure communication network. However, it is not always possible to physically transmit symmetric keys. Therefore, the problem with the symmetric key encryption system is that there is a high risk that the symmetric key can be decrypted or stolen by hackers (strangers) when delivered through an insecure electronic network such as the Internet. Moreover, as symmetric key algorithms and protocols become simple and widely used, methods are needed to securely transmit symmetric keys over secure networks.

As a way to solve problems that may occur when using symmetric keys, there is an asymmetric key encryption method, also called a public key encryption method. That is, while the private key is kept secret, the corresponding public key can be made publicly available. In this case, the risk of hacking the public key in the network can be avoided. Protocols capable of asymmetric key encryption include Diffie-Hellman key exchange.

Key pairs can be generated using seed values (e.g. root seed) or mnemonic information. For example, a private key can be generated from a seed value using a hash function, and a public key corresponding to the private key can be generated. These private keys are essential for electronic authentication when trading cryptocurrency. Additionally, cryptocurrency owners can keep a mnemonic to recover their wallet in case their private key is lost. For example, a mnemonic may be a string of 12 words (e.g., a string of English words).

Meanwhile, there are two types of electronic wallets. One is a 'cold wallet' stored offline in a memory device, etc., and the other is a 'hot wallet' connected online.

However, hot wallets, which are always connected online, have the disadvantage of being relatively weak compared to cold wallets. For example, a cryptocurrency exchange owns all the cryptocurrency wallets and private keys of users who participate in cryptocurrency transactions. Accordingly, if the electronic transaction ledger or trading system managed by the cryptocurrency exchange is hacked, the cryptocurrency, which is the asset of many investors, may be stolen by the hacker. In fact, in 2018, an incident occurred in which a personal PC used by a Bithumb operator was hacked and 35 billion won worth of virtual currency from trading users was stolen.

Additionally, if the private key or mnemonic is leaked to the outside, there is a risk that all of the owner's cryptocurrency assets will be stolen. Moreover, even if the private key or mnemonic is stored in a memory device or written down on paper, there is always a risk of losing the memory device or paper.

These private keys or mnemonics have a risk of hacking and loss, and the demand for safe asset management by cryptocurrency owners is increasing day by day.

[Prior art literature]

[Patent Document]

Publication No. 10-2018-0016641

The object of the present disclosure is to provide a method of using a cryptocurrency wallet system, a cryptocurrency wallet system, an electronic device for a cryptocurrency wallet, and a method of using an electronic device for a cryptocurrency wallet, thereby utilizing biometric technology to secure cryptocurrency. It provides a new way to store it.

According to one embodiment of the present disclosure, a method of using the cryptocurrency wallet system according to the present disclosure includes an electronic device including a first processor and a first communication module, and a biometric recognition device including a second processor, a scan module, and a second communication module. A method of using a cryptocurrency wallet system including: generating biometric image data by scanning, by the second processor, a part of the user's human body multiple times through the scanning module of the biometric recognition device; and generating biometric image data. Analyzing and extracting pattern data of the biometric image; controlling, by the second processor, the second communication module to transmit the generated biometric image pattern data to the electronic device; generating a first encryption key by first encrypting, by the first processor, the extracted pattern data of the biometric image through a first encryption algorithm; and generating, by the first processor, a second encryption key for electronically signing a transaction to be transmitted to a blockchain network by secondly encrypting the first encryption key through a second encryption algorithm, wherein the biometric device The step of extracting pattern data of the image may include obtaining biometric image data by having the biometric recognizer scan the user's finger vein, using the second processor.

In one embodiment, the step of extracting pattern data of the biometric image includes acquiring images of the user's finger veins multiple times; Generating a feature image of the finger vein image acquired multiple times through feature extraction; Generating a Fusion Template through an AND operation on the finger vein images acquired multiple times, and generating Down Sampling Templates by down-sampling the Feature Images of the finger vein images acquired multiple times; generating compressed data after ANDing the Fusion Template and the Down Sampling Template; and performing ARIA-public key-based encryption on the compressed data.

In one embodiment, the scan module of the biometric recognition device further includes an image capture unit, a gray scale conversion unit, a peak data detection unit, and a finger vein detection unit, and the step of extracting pattern data of the biometric image includes capturing the image. generating a plurality of video images by capturing, by the unit, an image of the user's finger captured using complex wavelengths in real time; Performing gray scale conversion on the plurality of video images by the gray scale conversion unit according to a conversion ratio applied by an RGB conversion ratio detection method according to the color of the user's finger among RGB colors; extracting brightness values of the plurality of video images by the peak data detection unit, and detecting peak data using the extracted brightness values; And it may include the step of acquiring finger vein pattern data using the peak data detected by the finger vein detection unit.

In one embodiment, generating a third encryption key by encrypting, by the first processor, the first encryption key and information on a selected external storage device using a third encryption algorithm; transmitting, by the first processor, the generated third encryption key to at least one external storage device; and storing the transmitted third encryption key in the at least one external storage device.

In one embodiment, the cryptocurrency wallet system further includes a first memory, and controlling the first processor to communicate with the external storage device in which the third encryption key is stored through a first communication module. ; receiving, by the first processor, the third encryption key through wired or wireless communication from the external storage device through the first communication module; Retrieving information of a selected external storage device stored in the first memory by the first processor; and generating, by the first processor, a first encryption key by decrypting the third encryption key through the third encryption algorithm based on information on the external storage device.

In one embodiment, the electronic device further includes a first display, wherein the first processor determines, through the first display, an address of a wallet to which cryptocurrency is to be transmitted from the user and a quantity of cryptocurrency to be transmitted to the address. Step of receiving input; obtaining biometric image data by scanning, by the second processor, a part of the user's body multiple times through the scan module, and analyzing the biometric image data to extract pattern data of the biometric image; controlling, by the second processor, the second communication module to transmit the generated biometric image pattern data to the electronic device; generating, by the first processor, a fourth encryption key by encrypting the pattern data of the biometric image through the first encryption algorithm; The first processor determines whether the first encryption key and the fourth encryption key match each other, and if the first encryption key and the fourth encryption key match each other, the first processor determines whether the wallet generating transaction data including information on the address and quantity of the cryptocurrency; electronically signing, by the first processor, the generated transaction using the second encryption key; And it may further include controlling, by the first processor, the first communication module to broadcast the transaction and register it in the distributed blockchain ledger of the blockchain network.

In one embodiment, cryptocurrency wallet information stored in the electronic device is acquired by the first processor, or cryptocurrency wallet information registered in the distributed blockchain ledger of the blockchain network is obtained using the first communication module. acquiring; Controlling, by the first processor, to transmit the obtained cryptocurrency wallet information to an auxiliary electronic device using the first communication module, wherein the auxiliary electronic device includes a third communication module, a third display, and a third Contains processor -; receiving, by the third processor, the cryptocurrency wallet information through the third communication module, by the auxiliary electronic device; And it may further include displaying the received cryptocurrency wallet information on the third display by the third processor.

According to another embodiment of the present disclosure, a cryptocurrency wallet system according to an embodiment of the present disclosure includes an electronic device including a first processor and a first communication module, and a second processor, a scan module, and a second communication module. A cryptocurrency wallet system including a biometric recognition device, wherein the second processor generates biometric image data by scanning the finger vein of a part of the user's body multiple times through a scan module of the biometric recognition device, and the generated biometric image It is configured to analyze data to extract pattern data of the biometric image, and control the generated biometric image data to be transmitted to the electronic device through the second communication module, wherein the first processor is configured to: A method for generating a first encryption key by first encrypting pattern data using a first encryption algorithm, and secondarily encrypting the first encryption key through a second encryption algorithm to electronically sign a transaction to be transmitted to a blockchain network. 2 Can be configured to control the generation of encryption keys.

In one embodiment, the cryptocurrency wallet system further includes an auxiliary electronic device including a third processor, a third communication module, and a third display configured to wirelessly communicate with the electronic device, wherein the first electronic device of the electronic device Controlled by a processor to receive cryptocurrency wallet information using the first communication module and transmit the received cryptocurrency wallet information to an auxiliary electronic device using the first communication module, The third processor may control to receive cryptocurrency wallet information from the electronic device through the third communication module and display the received cryptocurrency wallet information on the third display.

In one embodiment, the scan module of the biometric recognition device includes an image capture unit that captures an image of a user's finger captured using complex wavelengths in real time to generate a plurality of video images; A gray scale conversion unit that performs gray scale conversion on the plurality of video images according to a conversion ratio applied by an RGB conversion ratio detection method according to the color of the user's finger among RGB colors; a peak data detector that extracts brightness values of the plurality of video images and detects peak data using the extracted brightness values; And it may include a finger vein detection unit that detects the finger vein using the detected peak data.

According to another embodiment of the present disclosure, an electronic device for a cryptocurrency wallet including a biometric recognition module, a fourth processor, and a fourth memory, wherein the fourth processor identifies a plurality of parts of the user's human body through the biometric recognition module. Obtaining biometric image data by scanning the biometric image data, analyzing the biometric image data to extract pattern data of the biometric image, first encrypting the pattern data of the biometric image through a first encryption algorithm to generate a first encryption key, and , and is configured to control the first encryption key to be secondarily encrypted through a second encryption algorithm to generate a second encryption key for electronically signing a transaction to be transmitted to a blockchain network, and the biometric recognition module is configured to control the fourth encryption key. The processor may be configured to obtain biometric image data by scanning the user's finger vein.

According to another embodiment of the present disclosure, in a method of using an electronic device for a cryptocurrency wallet including a biometric recognition module, a fourth communication module, a fourth processor, and a fourth memory, by the fourth processor, the biometric device Obtaining biometric image data by scanning a part of the user's body multiple times through a recognition module; extracting pattern data of the biometric image by analyzing the biometric image data, by the fourth processor; generating a first encryption key by first encrypting the pattern data of the biometric image using a first encryption algorithm, by the fourth processor, and storing the pattern data in the fourth memory; And by the fourth processor, the first encryption key is secondarily encrypted through a second encryption algorithm to generate a second encryption key for electronically signing a transaction to be transmitted to the blockchain network and stored in the fourth memory. The biometric recognition module may be configured to obtain biometric image data by scanning the user's finger vein using the fourth processor.

According to an embodiment of the present disclosure, a method of using the cryptocurrency wallet system of the present disclosure generates a first encryption key by first encrypting pattern data of the extracted biometric image through a first encryption algorithm, and generates a second encryption key. By including the step of secondary encryption of the key to generate a second encryption key used as a private key, the role of the existing mnemonic is replaced with biometric information. Unlike the cryptocurrency wallet of the prior art, the mnemonic is unnecessary, preventing loss of the mnemonic. You can prevent theft in advance. Accordingly, the method of using the cryptocurrency wallet system of the present disclosure can reliably prevent the loss or theft of cryptocurrency stored in an electronic device.

1 is a conceptual diagram schematically showing the configurations of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 2 is a plan view showing the biometric recognition device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 3 is a flowchart showing a method of using the cryptocurrency wallet system of the cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 4 is a conceptual diagram showing the configuration of a scan module of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 5 is a flowchart showing a process of extracting biometric image pattern data using the biometric recognition module of the cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 6 is a diagram illustrating the execution of VFEA (Vein Features Enhance Algorithm) on a test template performed by a biometric recognition device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 7 is a flowchart showing the learning process of the VFEA algorithm performed by the biometric recognition device of the cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 8 is a configuration diagram showing the user-specified Mac Template Confusion creation step and encryption and data storage method.

Figure 9 is a flowchart showing a process of storing the generated first encryption key of the cryptocurrency wallet system in at least one external storage device according to an embodiment of the present disclosure.

FIG. 10 is a diagram schematically showing the first display of an electronic device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 11 is a table showing identification information of a storage device in which the second encryption key generated in the cryptocurrency wallet system according to an embodiment of the present disclosure is stored.

Figure 12 is a flowchart showing a method of recovering a wallet using a cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 13 is a diagram illustrating a first display for recovering a wallet through an electronic device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

Figure 14 is a flowchart showing a method of trading cryptocurrency using a cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 15 is a diagram schematically showing a first display for trading cryptocurrency through an electronic device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 16 is a flowchart showing steps for checking cryptocurrency wallet information using an auxiliary electronic device of a cryptocurrency wallet system according to an embodiment of the present disclosure.

17 to 20 are diagrams schematically showing a smart watch, which is a part of a cryptocurrency wallet system according to an embodiment of the present disclosure.

FIG. 21 is a diagram schematically showing an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure.

Figure 22 is a conceptual diagram showing the configuration of an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure.

Figure 23 is a flowchart showing a method of using an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure.

The advantages and features of the present disclosure and methods for achieving them will become clear with reference to the embodiments described in detail below in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and will be implemented in various different forms, and the embodiments are merely intended to ensure that the disclosure of the present disclosure is complete and that those skilled in the art It is provided to fully inform the person of the scope of the invention, and the present disclosure is defined only by the scope of the claims.

The terminology used herein is only used to describe specific embodiments and is not intended to limit the disclosure. For example, a component expressed in the singular should be understood as a concept that includes plural components unless the context clearly indicates only the singular. In addition, in the specification of the present disclosure, terms such as 'include' or 'have' are only intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and such The use of the term does not exclude the presence or addition of one or more other features, numbers, steps, operations, components, parts or combinations thereof.

Additionally, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which this disclosure pertains.

Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless clearly defined in the specification of the present disclosure, they shall be interpreted in an ideal or excessively formal sense. It doesn't work.

Hereinafter, embodiments of the present disclosure will be described in more detail with reference to the attached drawings. However, in the following description, detailed descriptions of well-known functions or configurations will be omitted if there is a risk of unnecessarily obscuring the gist of the present disclosure.

Figure 1 is a conceptual diagram schematically showing the configurations of a cryptocurrency wallet system 100 according to an embodiment of the present disclosure. FIG. 2 is a plan view showing the biometric recognition device 120 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. And, FIG. 3 is a flowchart showing a method of using the cryptocurrency wallet system 100 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

1 to 3, the present disclosure provides a method of using the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. The cryptocurrency wallet system 100 includes an electronic device 110 and a biometric recognition device 120.

Specifically, the electronic device 110 includes a first processor 111, a first memory 113, a first display 114, and a first communication module 112. The biometric recognition device 120 includes a second processor 121, a scan module 124, and a second communication module 122.

For example, the electronic device 110 may be at least one of a desktop PC, a laptop, a tablet PC, a smart phone, and a smart watch. For example, as shown in FIG. 2, the biometric recognition device 120 may be configured to scan the finger vein while the user's finger is placed in close contact with the P portion. It is desirable to perform the finger vein scan multiple times (e.g., 3 times) (see Figure 8). The biometric recognition device 120 may include an LED indicator light 125 that displays with light of a selected color whether the finger vein recognition process has been completed.

The first memory 113 may include at least one of volatile memory and non-volatile memory.

A method of using the cryptocurrency wallet system 100 of the present disclosure includes extracting pattern data of a biometric image (M10). In the step (M10) of extracting pattern data of the biometric image, the second processor 121 scans a part of the user's human body using the scan module 124 of the biometric recognition device 120 to extract biometric image data. You can control it to be created. In the step M10 of extracting pattern data of the biometric image, the second processor 121 may extract pattern data of the biometric image by analyzing the generated biometric image data. The method of analyzing biometric image data will be described in more detail later.

The method of using the cryptocurrency wallet system 100 of the present disclosure includes controlling the second communication module 122 to transmit the generated biometric image pattern data to the electronic device 110 by the second processor 121. Includes step M20. The method of using the cryptocurrency wallet system 100 of the present disclosure includes controlling the second communication module 122 to transmit the generated biometric image pattern data to the electronic device 110 (M20). The step of storing biometric image pattern data in the first memory 113 may be further included.

A method of using the cryptocurrency wallet system 100 of the present disclosure includes generating a first encryption key (M30). In the step of generating the first encryption key (M30), the pattern data of the biometric image extracted by the first processor 111 is first encrypted through a first encryption algorithm to generate the first encryption key. . Here, the first encryption algorithm can be applied if it is a commonly used block encryption algorithm. For example, the block encryption algorithm may be DES (Data Encryption Standard), 3DES, AES (Advanced Encryption Standard), SEED, ARIA, LEA (Lightweight Encryption Algorithm), etc.

A method of using the cryptocurrency wallet system 100 of the present disclosure includes generating a second encryption key (M40). In the step of generating a second encryption key (M40), the first encryption key is secondarily encrypted by the first processor 111 through a second encryption algorithm and electronically added to the transaction to be transmitted to the blockchain network 10. Generate a second encryption key for signing. For example, the second encryption algorithm may be a hashing algorithm. Here, the hashing algorithm encrypts using a hash function. Here, the 'hash function' is a function that generates a fixed length value or hash value from specific input data. When using this hashing algorithm, it can be made difficult to decrypt by secondary encryption of the first encryption key and changing the plaintext into hashed text.

Therefore, the method of using the cryptocurrency wallet system 100 of the present disclosure generates a first encryption key by first encrypting the extracted pattern data of the biometric image through a first encryption algorithm, and using the second encryption key. By including the step of generating a second encryption key used as a private key through secondary encryption, the role of the existing mnemonic is replaced with biometric information, and unlike conventional technology cryptocurrency wallets, a mnemonic is not required, preventing loss or theft of the mnemonic. can be prevented in advance. Accordingly, the method of using the cryptocurrency wallet system 100 of the present disclosure can reliably prevent the loss or theft of cryptocurrency stored in the electronic device 110.

The memory 215 can store (install) a blockchain wallet program 115 for processing transaction data for the blockchain network 10. For example, the first processor 111 may execute the blockchain wallet program 115 and receive user input that generates a blockchain transaction event. In response to input by the user, the first processor 111 may generate transaction data and perform an electronic signature using the blockchain wallet program 115. The first memory 113 may include a key storage 116 that stores the value of the second encryption key (eg, seed value or mnemonic information) for performing an electronic signature. According to one embodiment, the electronic device 110 may store the encrypted second encryption key value in the key storage 116. However, the key storage 116 is not necessarily limited to being provided only in the electronic device 110, and the key storage 116 may also be provided in an external device (e.g., a cold wallet) with a separate storage medium with excellent security. You can.

The first processor 111 receives a transaction (transaction data) generated as a transaction event of a blockchain cryptocurrency from the server 20 through the first communication module 112, or a distributed block of the blockchain network 10. It can be controlled so that it can be transmitted (registered) to the chain ledger. Here, 'blockchain' is a form of distributed database managed through a P2P (Peer to Peer) network, and the ledger containing transaction information is not stored in one central server (20) but is stored in the blockchain network (10). It is a technology that can be used in various fields as it is a technology that stores and archives information on multiple connected computers. And, ‘blockchain network (10)’ refers to a community of programs that follow the same rules that activate the network. In other words, the blockchain network 10 is a P2P (Peer-to-Peer) network, and multiple nodes are directly connected to each other.

The first processor 111 can control communication with each of the external storage device 30, the server 20, and the blockchain network 10 through the first communication module 112. Here, the server 20 may include hardware such as a processor, storage or database, and communication module. The first processor 111 can control communication with at least one external storage device 30 or server 20 capable of wired communication or wireless communication such as Bluetooth through the first communication module 112.

A method of using the cryptocurrency wallet system 100 of the present disclosure is to send an electronically signed transaction (transaction data) using the second encryption key and a private key by the first processor 111 to the first communication module 112. It may further include the step of communicating and transmitting to the blockchain network 10.

In the step (M10) of extracting pattern data of a biometric image, the biometric recognition device 120 scans at least one of the vein, iris, fingerprint, retina, and face of the user by the second processor 121 to obtain a biometric image. It may include a step of acquiring data. Preferably, the vein may be the user's palm or finger vein.

The biometric technology of the biometric recognition device 120 is one of the security methods for identifying a user based on the individual's unique physical characteristics. It has universality, unchangeable and unchangeable permanence, uniqueness that can be distinguished by unique characteristics, and can be easily confirmed and quantified. It can satisfy various conditions such as obtainability, accuracy that is not affected by environmental changes, acceptability without user resistance, and deception that is safe from intentional misuse. Therefore, in the method of using the cryptocurrency wallet system 100 of the present disclosure, the fingerprint, iris, retina, face, vein, etc. of a user that satisfies the above conditions can be used as biometric recognition technology to extract biometric image pattern data. .

The biometric recognition device 120 according to an embodiment of the present disclosure can perform iris recognition using the user's iris pattern through the scan module 124. The probability of an iris being the same as that of another person is about 1 in 1 billion, similar to a fingerprint, and it has about 260 unique patterns, making it more stable than a fingerprint.

The biometric recognition device 120 according to another embodiment of the present disclosure can perform facial recognition using the size and shape of the user's face through the scanning module 124.

The biometric recognition device 120 according to another embodiment of the present disclosure attaches the user's eyes to the extent of almost contacting the device through the scanning module 124, and then scans the blood vessels in the retina with infrared rays. Thus, retina recognition can be performed.

The biometric recognition device 120 according to another embodiment of the present disclosure may scan some veins of the user's body through the scan module 124 and then extract a vein image pattern from the generated vein image. For example, the part of the human body may be a finger.

The probability of veins having the same vein pattern between different people is approximately 1 in 3.2 billion, which is relatively low compared to fingerprints and irises. Therefore, veins have the advantage of being relatively difficult to forge, falsify, and copy compared to fingerprints, iris, and faces.

FIG. 4 is a conceptual diagram showing the configurations of the scan module 124 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. FIG. 5 is a flowchart showing a process of extracting biometric image pattern data using the biometric recognition module of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

Referring to FIGS. 4 to 5 along with FIGS. 1 and 3, the scan module 124 of the biometric recognition device 120 includes an image capture unit 124a, a gray scale conversion unit 124b, and a peak data detection unit 124c. , and may further include a finger vein detection unit (124d).

In addition, the step of extracting pattern data of the biometric image (N10) includes a step of generating a plurality of video images (N10), a step of performing gray scale conversion (N20), a step of detecting peak data (N30), and It may include a step (N40) of acquiring finger vein pattern data.

In the step N10 of generating a plurality of video images, a plurality of video images can be generated by capturing an image of the user's finger captured using complex wavelengths in real time by the image capture unit 124a. For example, the image capture unit 124a may capture a user's finger using a complex wavelength of an infrared LED and a green LED as a light source. By photographing the user's finger using a complex wavelength of an infrared LED and a green LED as a light source by the image capture unit 124a, the outline of the vein inside the finger can be photographed relatively clearly.

The image capture unit 124a may adjust the image brightness setting value according to the average brightness value of the plurality of video images. The image capture unit 124a may perform auto leveling, which automatically adjusts the step value of the video image using the average brightness value of the video image.

In addition, the image capture unit 124a uses a blue LED to adjust the image brightness setting value, and controls the irradiation angle, illuminance, and time of the blue LED to control the clarity of the fingers included in the plurality of video images. can be increased.

The image capture unit 124a can increase the clarity of fingers included in a plurality of video images by controlling the irradiation angle, illuminance, and time of the blue LED until a level of clarity that meets a preset standard is secured.

The step of performing gray scale conversion (N20) is the conversion ratio applied by the gray scale conversion unit 124b by the RGB conversion ratio detection method according to the color of the user's finger among the RGB (red, green, blue) colors. Accordingly, gray scale conversion can be performed on the plurality of video images.

In general, in vein images obtained by photographing a finger, the blood vessel portion appears dark and the background portion appears bright, and there is a problem of low accuracy in recognizing the finger vein with such an image. To solve this problem, a gray scale conversion unit is used. (124b) can perform gray scale conversion, and in particular, can perform gray scale conversion with a conversion ratio applied by a method for detecting an RGB conversion ratio according to the color of the user's finger among RGB colors. Accordingly, when the RGB pixel values of the image are inverted by the scale conversion unit 124b, the blood vessel portion is converted to bright and the remaining background and noise portion is converted to dark, so that the vein image can be reconstructed into a clear image with the blood vessels emphasized.

According to an embodiment of the present disclosure, the gray scale conversion unit 124b may have a gray scale conversion ratio of red, green, and blue of 7:1.5:1.5. The gray scale conversion ratio (7:1.5:1.5) of the biometric recognition device 120 of the present disclosure is relatively more red than the conventional gray scale conversion with a ratio of red, green, and blue of 1:1:1. The blood vessels can be seen more clearly by making them more prominent and converting them to gray.

In other words, in the finger vein image that is the result of the existing Gray Scale (3.3 : 3.3 : 3.3), the background may appear bright and the blood vessels appear dark due to the difference in absorbance because infrared light is transmitted through the finger. In addition, the infrared transmittance varies depending on the thickness of the user's individual fingers, so people with thick fingers have a dark overall image, and people with thin fingers have a bright image, making it difficult to confirm the location of the vein. That is, the existing detection algorithm performs an image pre-processing process, which increases the detection time, and there is a problem in that images acquired in an environment with uneven lighting cause finger vein detection errors.

On the other hand, when gray scale conversion is performed with other gray scale conversion ratios such as Gray Scale (1.5 : 7 : 1.5) or Gray Scale (1.5 : 1.5 : 7), the ratio of red, green, and blue is 7: 1.5. : When gray scale conversion is performed using a gray scale conversion ratio of 1.5, venous blood vessels can be seen relatively clearly.

Therefore, the gray scale conversion unit 124b of the biometric recognition device 120 according to an embodiment of the present disclosure converts the red, green, and blue ratios to gray scale at 7:1.5:1.5, thereby comparing results with other ratios. This ensures that the finger veins are most clearly recognized.

FIG. 6 is a diagram showing VFEA being performed on a test template performed by the biometric recognition device 120 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

Referring again to FIG. 6 along with FIGS. 4 and 5 , in the step N30 of detecting peak data, brightness values of the plurality of video images can be extracted by the peak data detector 124c. In the step of detecting peak data (N30), peak data may be detected using the extracted brightness value.

According to an embodiment of the present disclosure, the peak data detector 124c may apply the VFEA algorithm to the video image, and the VFEA algorithm may be used to multiply the video image in the vertical direction by as many pixels in the horizontal direction as the number of pixels in the vertical direction. The peak can be determined by repeating the VFEA technique as many times as the number of pixels in the direction.

Referring again to FIG. 6 along with FIGS. 4 and 5, the peak data detector 124c according to an embodiment of the present disclosure shows the process of performing the VFEA technique on a test template to learn the VFEA algorithm. , In order to learn the VFEA algorithm, higher accuracy can be secured by moving the test template to the X and Y axes and applying the VFEA technique.

The peak data detection unit 124c can derive the vector component of the By repeating the VFEA technique, the vector component of the Y axis can be derived, and through these processes, the recognition rate of the finger vein can be increased.

The vein extraction algorithm developed by the present inventor is performed without preprocessing, reducing detection time, and applying the VFEA algorithm, it is possible to detect finger veins even in images acquired in an environment with uneven lighting. It has the characteristic of not deteriorating the recognition rate. The algorithm execution process involves inverting pixel values to brighten blood vessels in the acquired finger vein image, then applying the VFEA algorithm to calculate the difference between the original image and the VFEA value. The calculated value can be used to determine the location of a node by applying a node detection algorithm. By applying a feature detection algorithm, the background and noise are removed, and the image is reconstructed with only the blood vessel features detected.

VFEA is a method of detecting veins by analyzing line data extracted from images. It effectively detects veins using methods such as Equation 1, Equation 2, and Equation 3. In Equation 1, X'(n) is a signal shifted by d from the original signal X(n), and subtracting X(n) from By multiplying Diff(n) by Weight and expressing it as 255 if it is greater than the Threshold and 0 if it is less than the Threshold, you can effectively detect veins in the finger.

Diff(n) = X'(n) - X(n), 1 ≤ n ≤ M Equation 1

Threshold = Arg _max [Diff(n)]×Weight, 1 ≤ n ≤ M Equation 2

if(Diff(n) > Threshold)

while(Diff(n)!=0) Equation 3

n = n -1

Accordingly, the peak data detection unit 124c may perform the VFEA technique repeatedly to separate blood vessels, background, and noise that cause a decrease in recognition rate when extracting finger vein feature points. In addition, the peak data detector 124c uses the learned VFEA algorithm template to repeat the VFEA technique as many pixels in the vertical direction and as many pixels in the vertical direction of the image image to generate a peak. You can decide.

After the repetition of the VFEA technique is completed, the peak data detector 124c calculates the difference between the VFEA data and the original video image data, and determines the peak data when it exceeds a preset threshold value to detect peak data. .

In the step N40 of acquiring finger vein pattern data, the finger vein detection unit 124d may acquire finger vein pattern data using the peak data detected by the peak data detection unit 124c.

The finger vein detection unit 124d according to an embodiment of the present disclosure can reconstruct the video image so that the veins are highlighted using the detected peak data, and the distribution of venous blood vessels in the reconstructed video image is shown on the X-axis (horizontal direction) and Y-axis (vertical direction) can be expressed as a composite vector component.

The finger vein detection unit 124d can derive the vector component of the The vector component of the axis can be derived, and through this, the composite vector component can be derived.

For example, the finger vein detection unit 124d may reconstruct the video image by converting the pixel value of the peak data to 255 if it is greater than the reference value and fixing the pixel value of the non-peak portion to 0. Here, the reconstructed video image can be referred to as ‘finger vein pattern data’.

For example, the finger vein detection unit 124d calculates the difference between the VFEA data, which is the result of performing the VFEA algorithm, and the original data, sets it as a reference value, and if the pixel value of the peak data is greater than the reference value, it converts it to 255 and By fixing the pixel value at 0, the image can be reconstructed into a video image with the X-axis vector and Y-axis vector displayed in white on a black background, and the finger vein can be detected through the composite vector of the You can.

Therefore, the method of using the cryptocurrency wallet system 100 of the present disclosure is to use the gray scale conversion unit 124b according to the conversion ratio applied by the RGB conversion ratio detection method according to the color of the user's finger among the RGB colors. By including the step of performing gray scale conversion on a plurality of video images, the vein image obtained by photographing the finger is a technology that processes the image so that the blood vessel portion appears dark and the background portion appears bright, which reduces the accuracy of vein recognition. The problems of the prior art can be solved. That is, the method of using a cryptocurrency wallet according to an embodiment of the present disclosure performs gray scale conversion on a plurality of video images with a conversion ratio applied by a method for detecting an RGB conversion ratio according to the color of the user's finger among RGB colors. , the accuracy of user's vein recognition can be dramatically increased from biometric image data.

FIG. 7 is a flowchart showing the learning process of the VFEA algorithm performed by the biometric recognition device 120 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

Referring to FIG. 7, the learning process of the VFEA algorithm according to an embodiment of the present disclosure is shown, in which a video image is captured, gray scale conversion is performed on the captured video image, and then the image is resized. do.

The biometric recognition device 120 of the cryptocurrency wallet system 100 of the present disclosure determines the peak by applying the VFEA algorithm to the resized image, and uses the peak data derived through this to extract feature points of the finger vein and image Image reconstruction can be performed, and then feature point expansion calculation can be performed, and the learning level can be increased by repeating this process multiple times. after. The biometric recognition device 120 of the cryptocurrency wallet system 100 of the present disclosure can compress the image and store the biometric image pattern through a feature point combining step.

Referring to Figure 8, after acquiring the user's finger vein image in the first, second and third stages, each Feature Image is generated, and through an adjustment process and a fusion process after AND and OR operations, a template is created. creates . The generated template types include down-sampled 1st, 2nd, and 3rd templates and templates in which each data is fused. This template goes through a data-based compression process and a public key-based encryption process and is transmitted and stored in an appropriate device using an appropriate communication method as comparison data for authentication.

Specifically, images of the user's finger veins are acquired multiple times, for example, three times (S810). Afterwards, a feature image of the finger vein image acquired three times is created through feature extraction (S820). Afterwards, a Fusion Template is created through AND operation on the finger vein images acquired three times, and three Down Sampling Templates are created by down-sampling the Feature Images of the finger vein images acquired three times (S830). . Afterwards, the Fusion Template and the three Down Sampling Templates are ANDed to form compressed data (S840). Afterwards, the compressed data is encrypted using ARIA-public key (128Bit) and stored on various devices (S850).

FIG. 9 is a flow chart illustrating a process of storing the generated first encryption key of the cryptocurrency wallet system 100 in at least one external storage device 30 according to an embodiment of the present disclosure. FIG. 10 is a diagram schematically showing the first display 114 of the electronic device 110 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. And, FIG. 11 is a table showing identification information of a storage device in which the second encryption key generated in the cryptocurrency wallet system 100 according to an embodiment of the present disclosure is stored.

Referring to Figures 9 to 11 along with Figure 1, the method of using the cryptocurrency wallet system 100 of the present disclosure includes encrypting the generated first password key to generate a third password key and using the generated third password. It may include the following steps (P10, P20, and P30) of storing the key in at least one external storage device 30.

As shown in FIG. 9, the method of using the cryptocurrency wallet system 100 of the present disclosure is to use the third encryption algorithm along with the first encryption key and information on the selected external storage device 30 by the first processor 111. Generating a third encryption key by encrypting through (P10), transmitting the generated third encryption key to at least one external storage device 30 by the first processor 111 (P20), and storing the transmitted third encryption key in the at least one external storage device 30 (P30).

Here, the external storage device 30 includes, for example, USB memory 31, desktop PC 32, tablet PC 33, hard disk 34, smart phone 35, smart watch 36, And it may be at least one of the biometric recognition device 120.

FIG. 10 illustrates selecting an external storage device to store a third encryption key on the first display 114 of the electronic device 110 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. For example, the user may use a USB memory 31, a desktop PC 32 as an external storage device 30 to store the third encryption key on the first display 114 (touch pad) of the electronic device 110. ), tablet PC 33, smart phone 35, hard disk 34, smart watch 36, and biometric recognition device 120.

For example, as shown in FIGS. 10 and 11, the user uses the first password generated in the electronic device 110 to use the USB memory 31, the desktop PC 32, the biometric reader 120, and the tablet PC 33. ), and can be selected to be stored on the smart watch 36, respectively.

In addition, the third encryption key stored in the USB memory 31 by the first processor 121 is provided together with the first encryption key and information on the external storage device 30 (e.g., device type (USB memory)). 3 It can be created by encrypting it using an encryption algorithm.

For example, the third encryption key stored in the desktop PC 32 by the first processor 121 is one of the first encryption key and information (e.g., device type (desktop PC)) of the external storage device 30. It can be generated by encrypting it using a third encryption algorithm with at least one.

For example, the third encryption key stored in the tablet PC 33 by the first processor 121 is one of the first encryption key and information (e.g., device type (tablet PC)) of the external storage device 30. It can be generated by encrypting it using a third encryption algorithm with at least one.

For example, the third encryption key stored in the smart watch 36 by the first processor 121 is one of the first encryption key and information (e.g., device type (smart watch)) of the external storage device 30. It can be generated by encrypting it using a third encryption algorithm with at least one.

In addition, a method of using the cryptocurrency wallet system 100 of the present disclosure is, as shown in FIG. 10, by the first processor 111, from the user to the first display 114 (touch pad) of the electronic device 110. It may further include controlling to receive information from the selected external storage device 30 through .

Moreover, the method of using the cryptocurrency wallet system 100 of the present disclosure is to store the information of the input external storage device 30 in the first memory 113 of the electronic device 110 by the first processor 111. The step of saving may be further included.

In addition, the method of using the cryptocurrency wallet system 100 of the present disclosure is to control the first communication module 112 to use the input information of the encrypted selected external storage device 30 by the first processor 111. A step of transmitting to the server 20 may be further included.

Furthermore, in the method of using the cryptocurrency wallet system 100 of the present disclosure, when recovering the third encryption key stored in the external storage device 30 by the first processor 111, the electronic device 110 It may further include receiving information on an external storage device shown in the table of FIG. 11 for decrypting the third encryption key from the server 20 using the first communication module 112.

Accordingly, the method of using the cryptocurrency wallet of the present disclosure includes the step of generating a third encryption key by encrypting it through a third encryption algorithm along with the first encryption key and information on the selected external storage device 30, Even if someone else steals the external storage device 30 where the third encryption key is stored, it is impossible to decrypt the third encryption key and generate the first encryption key, so the encrypted third encryption key cannot be stored in the external storage device 30. Even if you store it in , you have the advantage of safely maintaining the security of your cryptocurrency wallet.

FIG. 12 is a flowchart showing a method of recovering a wallet using the cryptocurrency wallet system 100 according to an embodiment of the present disclosure. And, FIG. 13 is a diagram showing the first display 114 for recovering a wallet through the electronic device 110 of the cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

Referring to FIGS. 12 and 13 along with FIG. 1 , a method of using a cryptocurrency wallet system according to an embodiment of the present disclosure includes generating a first encryption key using a third encryption key stored in the external storage device 30. It may further include the following steps (Q10, Q20, Q30, Q40) for recovering.

As shown in FIG. 12, the method of using the cryptocurrency wallet system according to an embodiment of the present disclosure is to store the third encryption key in an external storage through the first communication module 112 by the first processor 111. Controlling the communication connection with the device 30 (Q10), the third password is generated by wired or wireless communication from the external storage device 30 through the first communication module 112 by the first processor 111. A step of receiving a key (Q20), a step of loading information of the selected external storage device 30 stored in the first memory 113 by the first processor 111 (Q30), and The method may further include generating a first encryption key by decrypting the third encryption key through the third encryption algorithm based on the information of the external storage device (Q40).

In the step (Q40) of generating a first encryption key by decrypting the third encryption key through the third encryption algorithm, considering the information stored in the external storage device 30, the third encryption key is converted into the third encryption key. The first encryption key can be generated by decrypting it through an algorithm. For example, when the electronic device 110 receives the third encryption key from the fifth stored smart watch 36, the received third encryption key is converted into the third encryption key by the first processor 111. The third encryption key can be decrypted through the third encryption algorithm together with the information of "smart watch", which is the device type information given to the smart watch 36. At this time, the third encryption key may be received by the first processor 111 as “smart watch” information, which is device type information assigned to the smart watch 36, from the server 20 or another electronic device. However, it is not limited to this method, and if device type information cannot be received from the server 20, device type information can be directly input from the server 20.

The third encryption algorithm may be an encryption algorithm capable of symmetric key encryption. For example, the third encryption algorithm may be DES (Data Encryption Standard), 3DES, AES (Advanced Encryption Standard), SEED, ARIA, LEA (Lightweight Encryption Algorithm), etc. However, it is not necessarily limited to these algorithms.

For example, the electronic device 110 executes the blockchain wallet program 115 of FIG. 1 by the first processor 111 and connects the electronic device 110 and the smart watch 36 via Bluetooth, Execute a wallet recovery command on the blockchain wallet program 115, receive the third encryption key stored in the smart watch 36, decrypt the received third encryption key to generate a first encryption key, and generate the first encryption key. 1 The encryption key can be stored in the first memory 113.

Therefore, the method of using the cryptocurrency wallet of the present disclosure includes the step of decrypting the third encryption key stored in the external storage device 30 through the third encryption algorithm to generate the first encryption key, If the electronic device 110 is lost or stolen, the third encryption key stored in the external storage device 30 can be decrypted to generate the first encryption key. Accordingly, the method of using the cryptocurrency wallet of the present disclosure can keep cryptocurrency assets safe even when the electronic device 110 is lost or stolen.

Figure 14 is a flowchart showing a method of trading cryptocurrency using a cryptocurrency wallet system according to an embodiment of the present disclosure. And, FIG. 15 is a diagram schematically showing the first display 114 for trading cryptocurrency through the electronic device 110 of the cryptocurrency wallet system according to an embodiment of the present disclosure.

Referring to FIGS. 14 and 15 along with FIGS. 1 and 2, the method of using the cryptocurrency wallet system 100 of the present disclosure includes the following steps for trading cryptocurrency in a cryptocurrency wallet using the user's biometric information. It may include (T10, T20, T30, T40, T50, T60, T70).

A method of using the cryptocurrency wallet system 100 of the present disclosure includes, by the first processor 111, the address of the wallet to which the cryptocurrency is to be transmitted from the user through the first display 114 and the cryptocurrency to be transmitted to the address. A step (T10) of receiving the quantity may be further included. For example, as shown in FIG. 15, the first processor 111 determines the address of the wallet to which the cryptocurrency input from the user through the first display 114 (touch pad) is to be transferred and the address to be transferred to the address. You can input the quantity of the selected cryptocurrency (e.g. Bitcoin, BTC).

A method of using the cryptocurrency wallet system 100 of the present disclosure is to obtain biometric image data by scanning a part of the user's human body through the scan module 124 by the second processor 121, and In the step T20 of extracting pattern data of the biometric image by analyzing the data, the second processor 121 uses the second communication module 122 to transmit the generated biometric image pattern data to the electronic device 110. It may further include a control step (T30) and a step (T40) of encrypting the pattern data of the biometric image using the first encryption algorithm by the first processor 111 to generate a fourth encryption key. For example, as shown in FIG. 15, the step (T20) of extracting pattern data of a biometric image involves placing the user's finger on the scan module 124 in the biometric recognition device 120 and scanning the finger vein, thereby It may include acquiring image data.

The step of extracting the pattern data of the biometric image (T20), the step of receiving the pattern data of the biometric image (T30), and the step of generating the fourth encryption key (T30) include the cryptocurrency wallet of the present disclosure described above. The method of using the system 100 includes extracting pattern data of a biometric image (M10), transmitting the generated biometric image pattern data to the electronic device 110 (M20), and generating a first encryption key ( Since similar processes are used in each step (M30) and the step of generating the second encryption key (M40), detailed descriptions will be omitted.

The method of using the cryptocurrency wallet system 100 of the present disclosure includes requesting biometric information to be input by the biometric recognizer 120 by the first processor 111 before extracting pattern data of the biometric image. Additional steps may be included.

In addition, in the method of using the cryptocurrency wallet system 100 of the present disclosure, the first processor 111 determines whether the first encryption key and the fourth encryption key match, and the first encryption key and the fourth encryption key are determined. If the fourth encryption keys match each other, a step (T50) of generating transaction data including information on the address of the wallet and the quantity of the cryptocurrency by the first processor 111 may be included.

A method of using the cryptocurrency wallet system 100 of the present disclosure may include a step (T60) of electronically signing the generated transaction using the second encryption key that serves as a private key.

A method of using the cryptocurrency wallet system 100 of the present disclosure includes a first communication module 112 to broadcast the transaction by the first processor 111 and register it in the distributed blockchain ledger of the blockchain network 10. ) may include a step (T70) of controlling.

Accordingly, the method of using the cryptocurrency wallet system 100 of the present disclosure includes generating a fourth encryption key by encrypting the pattern data of the biometric image through the first encryption algorithm by the first processor 111. (T40) and when the first encryption key and the fourth encryption key match, generating transaction data including information on the address of the wallet and the quantity of the cryptocurrency by the first processor 111 ( By including T50), the user can easily prove that he or she is the owner of the cryptocurrency using his or her biometric information without entering a separate password, which has the advantage of allowing cryptocurrency wallet transactions to be easily made.

FIG. 16 is a flowchart showing steps (R10, R20, R30, and R40) of checking cryptocurrency wallet information using an auxiliary electronic device of the cryptocurrency wallet system according to an embodiment of the present disclosure.

Referring to FIG. 16 together with FIG. 1, the method of using the cryptocurrency wallet of the present disclosure includes the following steps (R10, R20, R30, R40) of checking cryptocurrency wallet information using the auxiliary electronic device 130. ) may further be included. Here, the cryptocurrency wallet information may be the address of the wallet, the type of cryptocurrency stored in the wallet, and the quantity of the corresponding type of cryptocurrency.

For example, a method of using the cryptocurrency wallet system 100 of the present disclosure may include obtaining cryptocurrency wallet information stored in the electronic device 110 by the first processor 111, or using the first communication module 112 ) using (R10) to obtain cryptocurrency wallet information registered in the distributed blockchain ledger of the blockchain network 10, by using the first processor 111, the obtained cryptocurrency wallet information is communicated through a first communication Step (R20) of controlling transmission to the auxiliary electronic device 130 using the module 112 - the auxiliary electronic device 130 includes a third memory 133, a third communication module 132, and a third display 134. ), and a third processor 131 -; A step (R30) of the auxiliary electronic device 130 receiving the cryptocurrency wallet information through the third communication module 132 by the third processor 131; and displaying the received cryptocurrency wallet information on the third display 134 by the third processor 131 (R40).

Referring to FIGS. 17 to 20 along with FIGS. 1 and 16 , the auxiliary electronic device 130 may be at least one of a tablet PC 33, a smart phone 35, and a smart watch 36. Preferably, the auxiliary electronic device 130 may be a smart watch 36.

Cryptocurrency wallet information (I) may include the address of the wallet, the type of cryptocurrency stored in the wallet, and the quantity of the corresponding type of cryptocurrency.

Therefore, the method of using the cryptocurrency wallet system 100 of the present disclosure is to send the cryptocurrency wallet information (I) to the auxiliary electronic device 130 through the third communication module 132 by the third processor 131. By including the step of receiving, and the step of displaying the received cryptocurrency wallet information (I) on the third display 134 by the third processor 131, the user can easily There is an advantage of being able to check cryptocurrency wallet information (I) through the auxiliary electronic device 130.

In addition, the auxiliary electronic device 130 may be configured by the third processor 131 to check the balance of the cryptocurrency, perform backup recovery of the wallet, and check the mining status of the cryptocurrency. For example, as shown in FIG. 17, the third processor 131 can control menus such as balance inquiry, wallet recovery, and mining history confirmation to be displayed on the third display 134.

Specifically, the balance inquiry is a menu that checks the type and quantity of cryptocurrency held by the user. For example, as shown in FIG. 18, when the user selects the balance inquiry menu, the auxiliary electronic device 130 displays the type and holding of the cryptocurrency as cryptocurrency wallet information (I) on the third display 134. It can be configured to display a quantity.

The wallet recovery is a menu that performs the function of recovering the wallet using the first encryption key. For example, as shown in FIG. 20, when the user selects the wallet recovery menu, the auxiliary electronic device 130 performs wallet recovery using the first encryption key by the third processor 131. It can be configured to do so.

The mining history confirmation is a menu that displays on the screen the quantity of a specific cryptocurrency received through an air drop from a cryptocurrency platform.

For example, as shown in FIG. 21, when the user selects the menu for checking mining details, the auxiliary electronic device 130 calculates the quantity (e.g., NeBTC) of a specific cryptocurrency (e.g., NeBTC) by the third processor 131. 5.123 coin) can be controlled to be displayed on the third display 134.

Meanwhile, the present application provides a cryptocurrency wallet system 100 according to an embodiment of the present disclosure.

Referring again to FIGS. 1 and 2 , the cryptocurrency wallet system 100 includes an electronic device 110 and a biometric recognition device 120 .

Specifically, the electronic device 110 includes a first processor 111, a first memory 113, and a first communication module 112. The biometric recognition device 120 includes a second processor 121, a scan module 124, and a second communication module 122.

Additionally, the second processor 121 is configured to generate a biometric image by scanning a part of the user's human body through the scan module 124 of the biometric recognition device 120.

The second processor 121 is configured to extract pattern data of the biometric image by analyzing the generated biometric image data.

The second processor 121 is configured to transmit the generated biometric image data to the electronic device 110 through the second communication module 122.

Additionally, the first processor 111 is configured to generate a first encryption key by first encrypting the received pattern data of the biometric image through a first encryption algorithm.

The first processor 111 is configured to secondarily encrypt the first encryption key using a second encryption algorithm to generate a second encryption key for electronically signing a transaction to be transmitted to the blockchain network 10.

These operations of the first processor 111 may be performed by instructions stored in the first memory 113. That is, the first memory 113 may be configured to store instructions including operation details of the first processor 111.

Accordingly, the cryptocurrency wallet system 100 of the present disclosure controls the second processor 121 to analyze the generated biometric image data to extract pattern data of the biometric image, and the first processor 111 controls the received biometric image data. By controlling the pattern data of the biometric image to be first encrypted through a first encryption algorithm to generate a first encryption key, a second encryption key used as a private key is generated by encrypting the biometric information of the cryptocurrency owner instead of the existing mnemonic. As can be said, unlike the cryptocurrency wallet of the prior art, a mnemonic is not required, so the loss or theft of the mnemonic can be prevented in advance, and the loss or theft of the cryptocurrency stored in the cryptocurrency wallet can be reliably prevented.

Meanwhile, referring again to FIGS. 1 and 18, the cryptocurrency wallet system 100 includes a third processor 131, a third communication module 132, and a third memory ( 133), and may further include an auxiliary electronic device 130 including a third display 134. For example, the auxiliary electronic device 130 may be at least one of a tablet PC 33, a smart phone 35, and a smart watch 36. Preferably, the auxiliary electronic device 130 may be a smart watch 36.

Cryptocurrency wallet information (I) may be at least one of the address of the wallet, the type of cryptocurrency stored in the wallet, the quantity of the corresponding type of cryptocurrency, the asset value of the wallet, and the price information of the cryptocurrency.

The first processor 111 of the electronic device 110 may receive cryptocurrency wallet information using the first communication module 112. The first processor 111 may control the received cryptocurrency wallet information (I) to be transmitted to the auxiliary electronic device 130 using the first communication module 112.

Additionally, the third processor 131 of the auxiliary electronic device 130 may control receiving cryptocurrency wallet information (I) from the electronic device 110 through the third communication module 132.

The third processor 131 may control the received cryptocurrency wallet information (I) to be displayed on the third display 134.

Cryptocurrency wallet information (I) may be at least one of the address of the wallet, the type of cryptocurrency stored in the wallet, the quantity of the corresponding type of cryptocurrency, the asset value of the wallet, and the price information of the cryptocurrency. At this time, the electronic device 110 can obtain price information of the cryptocurrency using wireless Internet through the first communication module 112.

Accordingly, the cryptocurrency wallet system 100 of the present disclosure receives cryptocurrency wallet information from the electronic device 110 through the third communication module 132 and displays the cryptocurrency wallet information on the third display 134. By including the auxiliary electronic device 130 including the third processor 131 for control, there is an advantage that the user can easily check cryptocurrency wallet information through the auxiliary electronic device without using the electronic device 110.

Meanwhile, referring again to FIGS. 1 and 4, the scan module 124 of the biometric recognition device 120 includes an image capture unit 124a, a gray scale conversion unit 124b, a peak data detection unit 124c, and a finger vein It may include a detection unit 124d.

Specifically, the image capture unit 124a may be configured to generate a plurality of video images by capturing an image of the user's finger captured using complex wavelengths in real time.

The gray scale conversion unit 124b may be configured to perform gray scale conversion on the plurality of video images according to a conversion ratio applied by an RGB conversion ratio detection method according to the color of the user's finger among RGB colors.

The peak data detector 124c may be configured to extract brightness values of the plurality of video images and detect peak data using the extracted brightness values.

The finger vein detection unit 124d may be configured to detect the finger vein using the detected peak data.

Therefore, the cryptocurrency wallet system 100 of the present disclosure is configured to perform gray scale conversion on the plurality of video images according to the conversion ratio applied by the RGB conversion ratio detection method according to the user's finger color among RGB colors. By including the gray scale conversion unit 124b, the vein image obtained by photographing the finger has the blood vessel portion dark and the background portion bright, and this image can solve the problem of the prior art that the accuracy of recognizing veins is low. . In other words, the method of using a cryptocurrency wallet according to an embodiment of the present disclosure is to convert a plurality of video images to gray scale with a gray scale conversion ratio that applies the highest ratio of RED, which is close to the color of blood vessels, among RGB colors. By performing this, the accuracy of user's vein recognition from biometric image data can be dramatically increased.

FIG. 22 is a diagram schematically showing an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure. And, Figure 23 is a conceptual diagram showing the configuration of an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure.

22 and 23, the present disclosure provides an electronic device 2100 for a cryptocurrency wallet according to an embodiment of the present disclosure. The electronic device 2100 for a cryptocurrency wallet includes a biometric recognition module 2140, a fourth communication module 2120, a fourth processor 2110, and a fourth memory 2130. The fourth processor 2110 controls to obtain biometric image data by scanning a part of the user's body through the biometric recognition module 2140. The fourth processor 2110 analyzes the biometric image data and controls to extract pattern data of the biometric image. The fourth processor 2110 controls to generate a first encryption key by first encrypting the pattern data of the biometric image using a first encryption algorithm. The fourth processor 2110 controls to generate a second encryption key for electronically signing a transaction to be transmitted to the blockchain network 10 by secondarily encrypting the first encryption key using a second encryption algorithm.

These operations of the fourth processor 2110 may be performed by instructions stored in the fourth memory 2130. That is, the fourth memory 2130 may be configured to store instructions including operation details of the fourth processor 2110.

Accordingly, the electronic device 2100 for a cryptocurrency wallet of the present disclosure controls the fourth processor 2110 to analyze the generated biometric image data to extract pattern data of the biometric image, and controls the fourth processor 2110 to extract pattern data of the biometric image. By controlling the data to be first encrypted using a first encryption algorithm to generate a first encryption key, a second encryption key used as a private key can be generated by encrypting the biometric information of the cryptocurrency owner instead of the existing mnemonic, Unlike the cryptocurrency wallet of the prior art, a mnemonic is not required, so the loss or theft of the mnemonic can be prevented in advance, and the loss or theft of the cryptocurrency stored in the cryptocurrency wallet can be reliably prevented.

The fourth memory 2130 may include one or more of volatile memory and non-volatile memory.

Additionally, the electronic device 2100 for a cryptocurrency wallet may further include an input device 2160. The input device 2160 transmits commands or information to be used in a component (e.g., processor 2110) of the electronic device 2100 for a cryptocurrency wallet from the outside (e.g., a user) of the electronic device 2100 for a cryptocurrency wallet. It may be configured to allow input. The input device 2160 may include, for example, a microphone, mouse, keyboard, or digital pen (eg, stylus pen).

The electronic device 2100 for a cryptocurrency wallet further includes a fourth display 2150.

The fourth display 2150 may visually provide information to the outside of the cryptocurrency wallet electronic device 2100 (eg, to the user). The fourth display 2150 may include, for example, a touch pad, a hologram device, or a projector and a control circuit for controlling the device. According to one embodiment, the fourth display 2150 includes an electrostatic touch circuitry configured to detect a touch, or a sensor circuit configured to measure the intensity of force generated by the touch (e.g., a pressure sensor). It can be included.

The biometric recognition module 2140 may obtain biometric image data by scanning at least one of the user's veins, iris, fingerprint, retina, and face using the processor. Preferably, the vein may be a vein in the user's palm or finger. More preferably, the vein may be the user's finger vein.

In addition, the biometric recognition module 2140 includes the image capture unit 124a, gray scale conversion unit 124b, peak data detection unit 124c, and finger vein detection unit of FIG. 4, which are the components of the scan module 124 described above. (124d) It may further include an image capture unit, a gray scale conversion unit, a peak data detection unit, and a finger vein detection unit each performing similar functions. Therefore, detailed descriptions of each of the image capture unit, gray scale conversion unit, peak data detection unit, and finger vein detection unit will be omitted.

The electronic device 2100 for a cryptocurrency wallet may further include a connection terminal 2180 configured to communicate by wire with an external storage device 30 configured to store the decrypted third encryption key.

The electronic device 2100 for a cryptocurrency wallet may further include a battery 2170 configured to supply electrical energy. The battery 2170 may be, for example, a lithium secondary battery.

The fourth communication module 2120 may be configured to communicate with at least one external storage device 30 or server 20 through wired communication or wireless communication such as Bluetooth communication.

Figure 24 is a flowchart showing a method of using an electronic device for a cryptocurrency wallet according to an embodiment of the present disclosure.

Referring to FIG. 24 along with FIGS. 22 and 23, the present disclosure provides a method 2000 of using an electronic device 2100 for a cryptocurrency wallet according to an embodiment of the present disclosure. Specifically, the electronic device 2100 for a cryptocurrency wallet includes a biometric recognition module 2140, a fourth communication module 2120, a fourth processor 2110, and a fourth memory 2130. A method of using an electronic device for a cryptocurrency wallet includes the fourth step (S10) of acquiring biometric image data by scanning a part of the user's human body through the biometric recognition module 2140 by the fourth processor 2110. A step of extracting pattern data of the biometric image by analyzing the biometric image data by the processor 2110 (S20), and extracting pattern data of the biometric image by the fourth processor 2110 through a first encryption algorithm. Step (S30) of generating a first encryption key through secondary encryption and storing it in the fourth memory 2130, and secondary encryption of the first encryption key through a second encryption algorithm by the fourth processor 2110. It includes a step (S40) of generating a second encryption key for electronically signing a transaction to be transmitted to the blockchain network and storing it in the fourth memory 2130.

Therefore, the method of using the electronic device for a cryptocurrency wallet of the present disclosure is to generate a first encryption key by first encrypting the pattern data of the biometric image through a first encryption algorithm by the fourth processor 2110. By including the step of storing in the fourth memory 2130, it is possible to generate a second encryption key used as a private key by encrypting the biometric information of the cryptocurrency owner instead of the existing mnemonic, unlike the cryptocurrency wallet of the prior art. Since a mnemonic is unnecessary, loss or theft of the mnemonic can be prevented in advance, and the loss or theft of the cryptocurrency stored in the cryptocurrency wallet can be reliably prevented.

Although the embodiments have been described with limited drawings as described above, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the claims described below.

Claims

A method of using a cryptocurrency wallet system including an electronic device including a first processor and a first communication module, and a biometric identifier including a second processor, a scan module, and a second communication module,

The second processor generates biometric image data by scanning a part of the user's body multiple times through the scan module of the biometric recognition device, and extracts pattern data of the biometric image by analyzing the generated biometric image data. step;

controlling, by the second processor, the second communication module to transmit the generated biometric image pattern data to the electronic device;

generating a first encryption key by first encrypting, by the first processor, the extracted pattern data of the biometric image through a first encryption algorithm; and

Secondary encryption of the first encryption key using a second encryption algorithm, by the first processor, to generate a second encryption key for electronically signing a transaction to be transmitted to a blockchain network,

The step of extracting pattern data of the biometric image is,

Comprising the step of, by the second processor, the biometric recognition device scanning the user's finger vein to obtain biometric image data,

How to use the cryptocurrency wallet system.
According to paragraph 1,

The step of extracting pattern data of the biometric image is,

Acquiring images of the user's finger veins multiple times;

Generating a feature image of the finger vein image acquired multiple times through feature extraction;

Generating a Fusion Template through an AND operation on the finger vein images acquired multiple times, and generating Down Sampling Templates by down-sampling the Feature Images of the finger vein images acquired multiple times;

generating compressed data after ANDing the Fusion Template and the Down Sampling Template; and

Comprising performing ARIA-public key based encryption on the compressed data,

How to use the cryptocurrency wallet system.
According to paragraph 1,

The scan module of the biometric recognition device further includes an image capture unit, a gray scale conversion unit, a peak data detection unit, and a finger vein detection unit,

The step of extracting pattern data of the biometric image is,

generating a plurality of video images by capturing, by the image capture unit, an image of the user's finger captured using complex wavelengths in real time;

Performing gray scale conversion on the plurality of video images by the gray scale conversion unit according to a conversion ratio applied by an RGB conversion ratio detection method according to the color of the user's finger among RGB colors;

extracting brightness values of the plurality of video images by the peak data detection unit, and detecting peak data using the extracted brightness values; and

Comprising the step of acquiring finger vein pattern data using the peak data detected by the finger vein detection unit,

How to use the cryptocurrency wallet system.
According to paragraph 1,

generating, by the first processor, a third encryption key by encrypting the first encryption key and information on a selected external storage device using a third encryption algorithm;

transmitting, by the first processor, the generated third encryption key to at least one external storage device; and

Further comprising storing the transmitted third encryption key in the at least one external storage device,

How to use the cryptocurrency wallet system.
According to paragraph 4,

The cryptocurrency wallet system further includes a first memory,

Controlling, by the first processor, a communication connection with the external storage device storing the third encryption key through a first communication module;

receiving, by the first processor, the third encryption key through wired or wireless communication from the external storage device through the first communication module;

Retrieving information of a selected external storage device stored in the first memory by the first processor; and

Further comprising generating a first encryption key by decrypting the third encryption key through the third encryption algorithm, by the first processor, based on information on the external storage device.

How to use the cryptocurrency wallet system.
According to paragraph 1,

The electronic device further includes a first display,

Receiving, by the first processor, an address of a wallet to which the cryptocurrency will be transferred from the user through a first display and an input of the quantity of the cryptocurrency to be transferred to the address;

obtaining biometric image data by scanning, by the second processor, a part of the user's body multiple times through the scan module, and analyzing the biometric image data to extract pattern data of the biometric image;

controlling, by the second processor, the second communication module to transmit the generated biometric image pattern data to the electronic device;

generating, by the first processor, a fourth encryption key by encrypting the pattern data of the biometric image through the first encryption algorithm;

The first processor determines whether the first encryption key and the fourth encryption key match each other, and if the first encryption key and the fourth encryption key match each other, the first processor determines whether the wallet generating transaction data including information on the address and quantity of the cryptocurrency;

electronically signing, by the first processor, the generated transaction using the second encryption key; and

Further comprising controlling, by the first processor, the first communication module to broadcast the transaction and register it in a distributed blockchain ledger of a blockchain network,

How to use the cryptocurrency wallet system.
According to paragraph 1,

Obtaining cryptocurrency wallet information stored in the electronic device by the first processor, or obtaining cryptocurrency wallet information registered in a distributed blockchain ledger of a blockchain network using the first communication module;

Controlling, by the first processor, to transmit the obtained cryptocurrency wallet information to an auxiliary electronic device using the first communication module, wherein the auxiliary electronic device includes a third communication module, a third display, and a third Contains processor -;

receiving, by the third processor, the cryptocurrency wallet information through the third communication module, by the auxiliary electronic device; and

Further comprising displaying, by the third processor, the received cryptocurrency wallet information on the third display,

How to use the cryptocurrency wallet system.
1. A cryptocurrency wallet system comprising an electronic device including a first processor and a first communication module, and a biometric identifier including a second processor, a scan module, and a second communication module,

The second processor,

Generating biometric image data by scanning the finger vein of a part of the user's body multiple times through the scanning module of the biometric recognition device,

Analyzing the generated biometric image data to extract pattern data of the biometric image,

Configured to control transmission of the generated biometric image data to the electronic device through the second communication module,

The first processor,

Generating a first encryption key by first encrypting the received pattern data of the biometric image through a first encryption algorithm,

Configured to control to generate a second encryption key for electronically signing a transaction to be transmitted to a blockchain network by secondly encrypting the first encryption key through a second encryption algorithm,

Cryptocurrency wallet system.
According to clause 8,

The cryptocurrency wallet system is,

further comprising an auxiliary electronic device configured to wirelessly communicate with the electronic device, including a third processor, a third communication module, and a third display;

Control, by the first processor of the electronic device, to receive cryptocurrency wallet information using the first communication module and transmit the received cryptocurrency wallet information to an auxiliary electronic device using the first communication module. And

The third processor of the auxiliary electronic device,

Controlling to receive cryptocurrency wallet information from the electronic device through the third communication module, and controlling to display the received cryptocurrency wallet information on the third display,

Cryptocurrency wallet system.
According to clause 9,

The scan module of the biometric recognition device,

An image capture unit that generates a plurality of video images by capturing images of the user's fingers in real time captured using complex wavelengths;

A gray scale conversion unit that performs gray scale conversion on the plurality of video images according to a conversion ratio applied by an RGB conversion ratio detection method according to the color of the user's finger among RGB colors;

a peak data detector that extracts brightness values of the plurality of video images and detects peak data using the extracted brightness values; and

Comprising a finger vein detection unit that detects the finger vein using the detected peak data,

Cryptocurrency wallet system.
An electronic device for a cryptocurrency wallet including a biometric recognition module, a fourth processor, and a fourth memory,

The fourth processor,

Obtaining biometric image data by scanning part of the user's human body multiple times through the biometric recognition module,

Analyzing the biometric image data to extract pattern data of the biometric image,

Generating a first encryption key by first encrypting the pattern data of the biometric image using a first encryption algorithm,

It is configured to control the first encryption key to be secondarily encrypted using a second encryption algorithm to generate a second encryption key for electronically signing a transaction to be transmitted to the blockchain network,

The biometric recognition module is configured to obtain biometric image data by scanning the user's finger vein by the fourth processor,

Electronic device for cryptocurrency wallet.
A method of using an electronic device for a cryptocurrency wallet including a biometric recognition module, a fourth communication module, a fourth processor, and a fourth memory,

acquiring biometric image data by scanning, by the fourth processor, a part of the user's human body multiple times through the biometric recognition module;

extracting pattern data of the biometric image by analyzing the biometric image data, by the fourth processor;

generating a first encryption key by first encrypting the pattern data of the biometric image using a first encryption algorithm, by the fourth processor, and storing the pattern data in the fourth memory; and

Secondary encrypting the first encryption key through a second encryption algorithm by the fourth processor to generate a second encryption key for electronically signing a transaction to be transmitted to a blockchain network and storing the second encryption key in the fourth memory. Including,

The biometric recognition module is configured to obtain biometric image data by scanning the user's finger vein by the fourth processor,

How to use electronic devices for cryptocurrency wallets.