KR101862478B1 - Fingerprint sensing type furniture being capable of preventing forgery for fingerprint sensor - Google Patents

Abstract

According to an embodiment of the present invention, forged fingerprints that can be used in furniture of the fingerprint recognition type can be easily identified, and only the user individual storage box can be unlocked through user authentication of each of the plurality of storage boxes, There is an effect that the user can freely store valuables or items related to privacy. To this end, in one embodiment of the present invention, there is provided a furniture which is provided with a fingerprint scanning unit for scanning a fingerprint and is capable of locking or unlocking a plurality of storage units, comprising: a fingerprint scanning unit for scanning the fingerprint; A fingertip positioned on a rim of the fingerprint scanning part and formed in a concave structure so as to correspond to a curved surface of a lateral direction of the finger; A counterfeit detection module that detects the forgery based on the impedance of the fingerprint that is placed on the fingerstick and includes spaced apart conductors and that is in contact with the conductors and determines whether the scanned fingerprint is allowed or not; And if the forgery detection module permits the scanned fingerprint, extracts the fingerprint pattern of the scanned fingerprint, compares the extracted fingerprint pattern with the registered fingerprint pattern, and if the extracted fingerprint pattern matches the registered fingerprint pattern, And a housing lock module for releasing the finger lock module.

Description

[0001] FINGERPRINT SENSING TYPE FURNITURE BEING CAPABLE OF PREVENTING FORGERY FOR FINGERPRINT SENSOR [0002]

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a furniture having a fingerprint scan unit for scanning fingerprints and capable of locking or unlocking a plurality of storage boxes, and more particularly, to a fingerprint recognition type furniture capable of preventing fingerprint falsification.

As shown in FIG. 1, there are many multi-stage storage boxes or a plurality of storage boxes H1, H2 and H3 for office furniture such as desk drawers, cabinets, etc., and household furniture such as closets and built-in cabinets. The fingerprint scanning unit S shown in FIG. 1 is provided in the storage box to lock or unlock the storage box according to fingerprint recognition.

Locking or unlocking of a furniture storage box using the fingerprint recognition is one of the increasingly popular biometric types, in which a fingerprint of an access allowance is registered, a scanned fingerprint is compared with a registered fingerprint, It is following the way it is released.

The principles of fingerprint recognition security are various, such as optical, capacitive, thermal, and semiconductor, and are selectively adopted depending on the situation of the fingerprint recognition device and the characteristics of the fingerprint recognition principle.

These fingerprint security devices have a lot of possibility to be falsified despite their usefulness. That is, it is possible to easily fake a security device by using a fake finger made of a fingerprint molding or the like. The fake finger can be made of a silicone rubber finger, a molding plastic and a gelatin gelatin (gummy finger or artificial finger). The fingerprint recognition rate of such a fake finger is very high and can be used as a counterfeit method to easily penetrate the fingerprint recognition security device.

In addition, the conventional fingerprint type furniture simply scans the fingerprint and compares the pattern information of the scanned fingerprint with the pattern information of the registered fingerprint to determine whether the fingerprint is unlocked. In addition, there are few active security devices such as those who falsify fingerprints or attempt to access illegally by stealing fingerprints, such as judging illegal access attempts against access control or recording illegal access attempt information.

Accordingly, there is a need for an improved fingerprint recognition type furniture in which the difference between the fake finger and the biometric finger is identified and the finger finger recognition sensor is determined based on the difference, thereby implementing security measures based on the fingerprint recognition sensor.

SUMMARY OF THE INVENTION The present invention has been made in view of the above needs, and it is an object of the present invention to provide a fingerprint recognition type furniture which can easily detect a counterfeit fingerprint which can be used in furniture of a fingerprint recognition type, have.

It is another object of the present invention to provide a furniture of a fingerprint recognition type capable of preventing unauthorized fingerprint falsification by unlocking an individual storage box of a user according to user authentication using fingerprint recognition in a furniture having a plurality of storage boxes have.

According to another aspect of the present invention, there is provided a furniture having a fingerprint scan unit for scanning a fingerprint fingerprint, the fingerprint scan unit scanning the fingerprint fingerprint; A fingertip positioned on a rim of the fingerprint scanning part and formed in a concave structure so as to correspond to a curved surface of a lateral direction of the finger; A counterfeit detection module that detects the forgery based on the impedance of the fingerprint that is placed on the fingerstick and includes spaced apart conductors and that is in contact with the conductors and determines whether the scanned fingerprint is allowed or not; And if the forgery detection module permits the scanned fingerprint, extracts the fingerprint pattern of the scanned fingerprint, compares the extracted fingerprint pattern with the registered fingerprint pattern, and if the extracted fingerprint pattern matches the registered fingerprint pattern, And a housing lock module for releasing the finger lock module.

The fingertip part may include a pair of concave members for seating both sides of the finger on both sides of the fingerprint scanning part.

The housing lock module may be configured to register a plurality of fingerprint patterns corresponding to each of the plurality of storage boxes and unlock the storage box corresponding to the fingerprint pattern corresponding to the scanned fingerprint among the plurality of registered fingerprint patterns. User authentication corresponding to each of the plurality of registered fingerprint patterns can be performed, and the user authentication information can be recorded as access information by matching the time and the user.

The fingertip portion may further include a haptic module inside, and the haptic module may transmit a sense of vibration to the finger under the control of the fake detection module or the storage lock module.

The forgery detection module includes: a signal application unit for applying an AC frequency signal to a pair of conductors; An impedance acquiring unit for acquiring an impedance based on an AC frequency signal according to contact of a finger; A bio-sensing unit that senses the living body of the finger based on the obtained impedance; And a controller that allows scanned fingerprints if the finger is a live finger and does not allow scanned fingerprints if the finger is a fake finger based on the biometric detection result of the finger have.

On the other hand, the furniture of the fingerprint recognition type capable of preventing fingerprint falsification includes an image sensor for capturing a user of the scanned fingerprint; And an image transmission unit for transmitting the image information of the captured user to a predetermined communication terminal.

According to an embodiment of the present invention, it is possible to easily identify a fake fingerprint that can be used in furniture of the fingerprint recognition type. This can enhance security of access control by implementing follow-up security measures based on counterfeit fingerprint identification.

Furthermore, since only the user individual storage box can be unlocked through the user authentication of each of the plurality of storage boxes, it is possible for a plurality of users to freely store valuables or items related to privacy.

In addition, the finger rest part naturally guides the point where the user's finger is landed, and at the same time, it is convenient to construct the conductors for fingerprint fingerprint detection.

On the other hand, since the haptic module is built in the finger seat portion, it can be informed when a finger is detected or when a fingerprint is recognized, which is useful for a general person or a hearing-impaired person.

1 is a view showing an example of a fingerprint recognition type furniture equipped with a conventional fingerprint recognition sensor,
FIG. 2 is a perspective view showing one configuration of a fingerprint recognition type furniture capable of preventing fingerprint falsification according to the present invention,
FIG. 3 is a block diagram showing the configuration of a fingerprint recognition type anti-fake module capable of preventing fingerprint falsification according to the present invention.
FIG. 4 is a flowchart sequentially illustrating a method of supplementing fingerprint recognition using bioimpedance according to an embodiment of the present invention. FIG.
5 is a table showing an impedance phase relationship between a living body finger and a fake finger using a fingerprint recognition / complement apparatus using bioimpedance according to an embodiment of the present invention.
FIG. 6 is a table showing an impedance magnitude relation between a living body finger and a fake finger using a fingerprint recognition / complement apparatus using bioimpedance according to an embodiment of the present invention.

In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The terminology used herein is a term used for properly expressing the preferred embodiment of the present invention, which may vary depending on the user, the intention of the operator, or the practice of the field to which the present invention belongs. Therefore, the definitions of these terms should be based on the contents throughout this specification. The same reference numerals in the drawings denote the same components.

Fingerprint type furniture that can prevent fingerprint falsification

One embodiment of the present invention includes a fingerprint scanning unit 10, a finger seating unit formed of a concave structure, a counterfeit detection module, and a storage box locking module. According to the present embodiment, the forgery detection module analyzes the impedance signal based on the conductors 410 and 412 with respect to the finger placed on the finger seating portion, and discriminates whether or not the finger is a fake finger. A fingerprint pattern scanned through the fingerprint scanning unit 10 is compared with a registered fingerprint pattern to determine whether or not the receiver is unlocked. Here, the plurality of storage boxes provided in the furniture of the present invention may be office furniture capable of storing valuables or items related to privacy, or general household furniture, and there is a fingerprint pattern registered in each of the plurality of storage boxes, Only the corresponding storage box can be unlocked. In the configuration of the present embodiment, the fingerprint scanning unit 10 can utilize various scanning methods such as optical, semiconductor, and thermal sense as a configuration for scanning a fingerprint.

2 is a perspective view showing one configuration of a fingerprint recognition type furniture capable of preventing fingerprint falsification according to the present invention. 2, the fingerprint seating portion of the present embodiment includes a pair of concave members 20, 22 on both sides of the center fingerprint scanning portion 10, and the pair of concave members 20, 22 are spaced apart from each other by a predetermined distance to form a space in which the fingers are seated. A pair of conductors 410 and 412 of the configuration of the forgery detection module are mounted inside each of the concave members 20 and 22, respectively. When the AC frequency signal is conducted through the pair of conductors 410 and 412 and the seated finger, impedance or the like is measured to determine whether or not the signal is forged. The contents of the forgery detection method will be described later.

The fingertip portion shown in Fig. 2 is formed in a concave structure along the curved surface of the finger. Such a concave structure is formed along the inner side of the concave members 20 and 22 and may be a concave structure in the longitudinal direction inside. However, as shown in Fig. 2, the convex structure is formed at the end portion corresponding to the end portion of the fingers, It is possible to perform a stopper function.

In addition, a haptic module (not shown) may be built in the concave members 20 and 22. The haptic module transmits a predetermined signal to the finger by the vibration of the motor in response to the forgery detection result of the forgery detection module or the fingerprint recognition result. Such a haptic module is intended to transmit a signal corresponding to a fake detection result or a fingerprint recognition result to a hearing-impaired person as well as a general user as a tactile signal through vibration.

On the other hand, the fingerprint recognition type furniture capable of preventing fingerprint falsification includes an image sensor (not shown) for capturing a user of the scanned fingerprint and an image transmission unit (not shown) for transmitting the image information of the sensed user to a predetermined communication terminal. As shown in FIG. In this case, a user who wants to approach with a fake finger may be imaged by an image sensor to store the captured image, and the image transmitting unit may transmit the image captured by the security communication terminal under the Internet environment.

FIG. 3 is a block diagram showing the construction of a fingerprint recognition type anti-fake module capable of preventing fingerprint falsification according to the present invention. 3, when a finger touches the pair of conductors 410 and 412, an AC frequency signal is applied through the signal applying unit 420, and the impedance obtaining unit 430 When the bio-sensing unit 440 detects the living body based on the obtained impedance and the phase and size of the obtained impedance, the bio-sensing unit 440 allows the fingerprint scanned according to the living body ≪ / RTI > In this case, the first bio-information section 460 stores the zero-crossing frequency band information of the impedance corresponding to the living finger, the second bio-information section 470 stores the threshold frequency band information and the magnitude And the living body detection unit 440 determines whether the subject is living or not based on the information.

The signal applying unit 420 applies an AC frequency signal to the pair of conductors 410 and 412. Here, the AC frequency signal applies an AC frequency signal corresponding to the in-vivo frequency band information, and varies the frequency to apply a frequency band in which the impedance phase is zero-crossed.

The impedance acquiring unit 430 acquires an impedance based on the AC frequency signal according to the contact of the finger. When a variable frequency signal is applied, an impedance corresponding to each frequency signal is obtained. The impedance is acquired until the impedance phase information is zero-crossed. If a specific frequency signal is applied, the corresponding impedance information is obtained.

The living body detection unit 440 detects the living body of the finger based on the obtained impedance. Specifically, the signal applying unit 420 applies the AC frequency signal as a variable frequency signal, compares the bio-frequency band information in which the impedance phase of the living finger stored in the first bio-information unit 460 is zero-crossed, When the frequency band at which the phase of the impedance is zero crossed is larger than the frequency band information of the living body, the finger is detected by the fake finger.

The bio-sensing unit 440 applies an AC frequency signal having a frequency greater than the critical frequency band information to the signal applying unit 420 and outputs the critical frequency band information (the impedance magnitude of the living finger is Frequency band information that is smaller than the fake finger) and the impedance size information of the living body finger according to the AC frequency signal not less than the threshold frequency band information. If the size of the obtained impedance of the finger is larger than the impedance size information of the living body finger, .

The control unit 450 allows scanned fingerprints when the finger is a live finger, and does not allow scanned fingerprints when the finger is a fake finger, based on the result of biological detection of the finger. More specifically, the controller 450 is a prerequisite for a fingerprint recognition process of fingerprint recognition or fingerprint inaccuracy as a result of fingerprint matching rate analysis of the scanned fingerprint. That is, if the finger is a fake finger, the fingerprint determination process is rejected without allowing the fingerprint determination process.

Fingerprint Recognition Method Using Biometric Impedance

4 is a flowchart sequentially illustrating a method of supplementing fingerprint recognition using bioimpedance according to an embodiment of the present invention. Referring to Fig. 4, first, the finger is brought into contact with the upper surface of the fingerprint scanning unit 10 and the inner surface of the pair of concave members 20, 22 constituting the finger rest portion (S10). If no contact is made with the pair of conductors 410 and 412, the following process does not proceed and the fingerprint scan and the fingerprint matching rate determination are not performed.

Next, the fingerprint scanning unit 10 scans the fingerprint of the finger (S20), and the AC frequency signal is applied to the pair of conductors 410 and 412 arranged so that the signal applying unit 420 is spaced apart from each other S30). However, steps S20 and S30 may be performed selectively or simultaneously.

Next, the impedance obtaining unit 430 obtains the impedance based on the applied AC frequency signal according to the contact of the finger (S40).

Next, the living body detection unit 440 detects the living body of the finger based on the obtained impedance (S50).

Finally, the control unit 450 generates an unauthorized signal that does not allow the scanned fingerprint if the finger is a fake finger, based on the result of detecting the living body of the finger (step S60) (step S70) of generating a permission signal for permitting a scanned fingerprint in the case of a live finger, may be alternatively performed so that a fingerprint recognition supplement method using bioimpedance can be performed.

In particular, in the signal application step S30, the AC frequency signal is a variable frequency signal. In the living body detection step S50, the frequency band in which the phase of the obtained impedance of the finger is cross- (S52) of detecting a finger with a fake finger if the information is larger than the living body frequency band information, and S54 (S54) when the finger is included in the living body frequency band information.

Meanwhile, in the signal application step S30, the AC frequency signal is an AC frequency signal larger than the critical frequency band information, and the living body detection step S50 is performed when the magnitude of the obtained impedance of the finger is larger than the impedance size information of the living finger A step S56 of sensing a finger with a fake finger and a step S58 of sensing a finger with the finger of the living body when the finger is included in the impedance size information of the living finger.

Comparison of impedance of living finger and fake finger

FIG. 5 is a table showing the impedance phase relationship between a living body finger and a fake finger using a fingerprint recognition and complement apparatus using bioimpedance according to an embodiment of the present invention. Referring to FIG. In the graph shown in Fig. 5, the horizontal axis indicates the frequency and the vertical axis indicates the phase. Reference numeral 1 denotes a green curve in a non-contact standby state on a conductive bezel (or a pair of conductors), 2 denotes a black curve measured when a conductive substance placed on a conductive bezel and a finger skin contact thereon are placed on the conductive bezel 3 denotes a non-conductive material placed on the conductive bezel and a red curve measured when the finger contacts the skin on the conductive bezel, and 4 denotes a blue curve measured when the finger skin contacts the conductive bezel. As can be seen from the area # 3 shown in FIG. 5, it can be seen that the frequency of zero crossing is lower than that of the reference numerals 1, 2, and 3 by 4.

FIG. 6 is a table showing an impedance magnitude relation between a living body finger and a fake finger using a fingerprint recognition / complement apparatus using bioimpedance according to an embodiment of the present invention. In the graph shown in FIG. 6, the horizontal axis represents the frequency and the vertical axis represents the impedance magnitude. Reference numeral 5 denotes a green curve in a non-contact standby state on the conductive bezel, 6 denotes a black curve measured when the conductive substance is placed on the conductive bezel, and a black curve measured when the finger is in contact with the skin. Reference numeral 7 denotes a conductive bezel It refers to the red curve measured when touching the skin with the nonconductive material placed on it. And reference numeral 8 denotes a blue curve measured upon contact of the finger skin on the conductive bezel. As can be seen from the regions # 1 and # 2 shown in FIG. 6, it can be seen that reference numeral 8 has an impedance smaller than reference numerals 5, 6, and 7 at an arbitrary frequency above a critical frequency band.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, As will be understood by those skilled in the art. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. In addition, the scope of the present invention is indicated by the following claims rather than the above detailed description. Also, all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included within the scope of the present invention.

10: Fingerprint scanning unit
20, 22: a pair of concave members
410, 412: a pair of conductors
420:
430: Impedance acquisition section
440:
450:
460: First biometric information part
470: the second bioinformation department

Claims (5)

1. A furniture which is capable of locking or unlocking a plurality of storage compartments by a fingerprint scanning part for scanning a fingerprint,
A fingerprint scan unit that scans the fingerprint;
A fingertip positioned at a rim of the fingerprint scanning part and formed in a concave structure corresponding to a curved surface of a lateral direction of the finger;
A counterfeit detection module for detecting whether the fingerprint is forged based on the impedance of the fingerprint finger contacting the conductors and determining whether the scanned fingerprint is allowed or not; And
Extracting a fingerprint pattern of the scanned fingerprint when the forgery detection module permits the scanned fingerprint, comparing the extracted fingerprint pattern with the registered fingerprint pattern, and comparing the extracted fingerprint pattern with the registered fingerprint pattern If this matches, include a locker lock module that unlocks,
Wherein the finger rest portion includes a pair of concave members (20, 22) on both sides of the fingerprint scanning portion on which both sides of the finger are placed and on which the conductors are disposed, the length of each of the concave members (20, 22) A convex structure is formed at the direction end portion,
The forgery detection module includes:
A signal applying unit 420 for applying an AC frequency signal to the pair of conductors; An impedance obtaining unit (430) for obtaining an impedance based on the AC frequency signal according to the contact of the finger; A living body detecting unit 440 for detecting the living body of the finger based on the obtained impedance; And a controller configured to allow the scanned fingerprint if the finger is a fake finger based on a result of detecting the living body of the finger and to allow the scanned fingerprint when the finger is a live finger And a control unit 450,
The forgery detection module includes a first bio-information part 460 for storing bio-frequency band information in which the impedance phase of the bio-finger is zero-crossed; And a second bio-information part (470) for storing the critical frequency band information in which the impedance magnitude of the living finger is smaller than the fake finger and the impedance magnitude information of the living body finger in accordance with the AC frequency signal not less than the critical frequency band information Including,
The signal applying unit 420 applies the applied AC frequency signal as a variable frequency signal and simultaneously or sequentially applies the AC frequency signal, which is larger than the stored critical frequency band information,
The bio-sensing unit 440 senses the finger with a fake finger when the frequency band at which the obtained impedance is zero-crossed is greater than the stored bio-frequency band information, and when the magnitude of the obtained impedance is larger than the bio- Wherein the finger is detected by a fingers finger when the finger size information is larger than the impedance size information of the finger.
delete The method according to claim 1,
Wherein the storage box locking module is configured to store a plurality of fingerprint patterns corresponding to each of the plurality of storage boxes and to unlock a storage box corresponding to a fingerprint pattern matching the scanned fingerprint among the plurality of registered fingerprint patterns, Fingerprint type furniture that can prevent.
delete The method according to claim 1,
An image sensor for capturing a user of the scanned fingerprint; And
Further comprising: an image transmission unit for transmitting image information of the captured user to a predetermined communication terminal.

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