KR102045417B1 - Apparatus for recognizing fingerprint for elderly and method thereof - Google Patents

Abstract

Disclosed are a device for recognizing a fingerprint for the elderly and a method thereof. If fingerprint recognition for a user over a preset standard age is attempted, a difference value between the standard age and a current age of the user is calculated and a fingerprint change for the user is predicted based on the calculated difference value and a fingerprint change rate for each age based on big data. A prediction value of the predicted fingerprint change and a current fingerprint recognized with regard to the user are compared and a fingerprint recognition result in accordance with a comparison result is provided so as to increase a fingerprint recognition rate for the elderly, thereby increasing the total system operation efficiency.

Description

Apparatus for recognizing fingerprint for elderly and method according to the elderly

The present invention relates to a fingerprint recognition device and method for the elderly, in particular, when attempting fingerprint recognition for a user over a predetermined reference age, calculates the difference between the reference age and the current age of the user, the calculated difference A fingerprint change prediction for the user is predicted based on a value and a change rate of fingerprint based on age based on big data, and a fingerprint recognition result according to a comparison result is provided by comparing the predicted fingerprint change prediction value with a current fingerprint recognized for the user. It relates to a fingerprint recognition device for the elderly and a method thereof.

Fingerprint recognition technology is one of the most widely used technologies in terms of convenience and usability among various bio-biometric technologies such as iris, vein, voice, and facial recognition.

The fingerprint recognition process scans a fingerprint in the fingerprint sensor, processes the image, finds the feature points, and checks the identity by comparing the feature points of the registered fingerprint.

Currently, fingerprint recognition technology is being developed in terms of a fingerprint scanning technology and a fingerprint image processing technology.A fingerprint scanning technology is a technology capable of scanning a fingerprint by touching the scanner in various directions or a dermis (dermis) rather than the epidermis of the fingerprint. ), And this fingerprint scanning technique is expensive.

In addition, as a fingerprint image processing technology, research is focused on a technology for extracting more accurate image features.

As a result, the determination of whether the registered fingerprint is identical to the fingerprint to be recognized is more accurate.However, when the finger is hydrated, foreign matter is attached to the finger, a finger is injured, or is greasy, the improvement is improved. There is a situation where, due to its accuracy, it provides a false determination that fingerprints are inconsistent.

In other words, as the fingerprint recognition technology develops, a difference with the fingerprint registered in the present situation is greatly generated according to the current situation of the finger, thereby increasing the misperception.

However, the incomplete state of the finger is mainly due to a temporary one, and can be recognized if the hand is drooled or retries a few times.

However, in the case of elderly people 65 years or older, as the age of the skin becomes less collagen, fingerprint recognition becomes more difficult, and the deformation becomes more severe with time rather than a temporary fingerprint change. There is a skin aging effect.

In the case of identity verification in public offices, fingerprints are registered to the elderly if the fingerprint mismatch occurs, and even if the elderly enrolls a new fingerprint, it becomes difficult to recognize the fingerprint because skin aging occurs over time. It happens continuously.

Korean Laid-Open Patent No. 10-2017-0001043 [Title: Method for manufacturing fingerprint recognition device]

An object of the present invention is to calculate the difference value between the reference age and the current age of the user when attempting fingerprint recognition for a user of a predetermined reference age or more, based on the calculated difference value and the age-based fingerprint change rate based on big data A fingerprint recognition device for the elderly and a method for predicting a fingerprint change for the user, and comparing the predicted value of the predicted fingerprint change with the current fingerprint recognized for the user and providing a fingerprint recognition result according to a comparison result. There is.

Fingerprint recognition device for the elderly according to an embodiment of the present invention comprises an input unit for receiving user information associated with the user to be fingerprint recognition according to the user input; A sensor unit configured to perform fingerprint recognition for the user to obtain fingerprint information at the current time in relation to the user; When the registered fingerprint information related to the user information is checked among a plurality of registered fingerprint information for each user information previously stored in a storage unit, and the current age of the user included in the user information exceeds a preset reference age, Calculates a difference value between the current age of the user and the reference age, and calculates the difference value, the change rate of fingerprint for each age based on big data previously stored in the storage unit, and registered fingerprint information related to the identified user information. A control unit for predicting fingerprint change for the user based on the generated prediction fingerprint information, and comparing the generated predicted fingerprint information with registered fingerprint information related to the identified user; And a display unit displaying information indicating that the fingerprints match when the predicted fingerprint information and the registered fingerprint information related to the identified user match.

As an example related to the present invention, the controller checks a fingerprint change rate corresponding to the calculated difference value among the fingerprint change rates for each age based on the big data, and relates to the user according to the fingerprint change rate corresponding to the identified difference value. By correcting a fingerprint change with respect to the registered fingerprint information, the predicted fingerprint information may be generated by predicting how the fingerprint changes from the time point at which the registered fingerprint information is registered to maintain the current shape.

As an example related to the present invention, the controller may be further configured to calculate the difference value of the fingerprint based on the age-based fingerprint change rate according to the big data-based job information previously stored in the storage unit based on the job information included in the received user information. The fingerprint change rate corresponding to the occupation information included in the information may be checked and the predicted fingerprint information may be generated by correcting a fingerprint change of registered fingerprint information related to the user according to the identified fingerprint change rate.

Fingerprint recognition method for the elderly according to an embodiment of the present invention comprises the steps of receiving, by the input unit, the user information associated with the user to be fingerprint recognition according to the user input; Acquiring, by a sensor unit, fingerprint information of a current view in relation to the user by performing a fingerprint recognition process for the user; Confirming, by the controller, registered fingerprint information related to the user information among a plurality of registered fingerprint information for each user information previously stored in a storage unit; Calculating, by the controller, a difference value between the current age of the user and the reference age when the current age of the user included in the user information exceeds a preset reference age; Predictive fingerprint by predicting the fingerprint change for the user based on the calculated difference value, the age-based fingerprint change rate based on the big data pre-stored in the storage unit, and the registered fingerprint information associated with the identified user information. Generating information; Comparing, by the controller, whether the generated predicted fingerprint information and the registered fingerprint information related to the identified user match; And when the predicted fingerprint information and the registered fingerprint information related to the identified user are matched, by the controller, information indicating that the fingerprint is matched is output through the display unit and the voice output unit, and then preset. It may include performing a function of the step.

As an example related to the present invention, when the current age of the user is less than or equal to the preset reference age, matching of the acquired fingerprint information of the current time point of the obtained user with the registered fingerprint information related to the confirmed user information is performed by the controller. Comparing whether; As a result of the comparison, when the acquired fingerprint information of the current time point of the user and the registered fingerprint information related to the confirmed user are matched, the controller outputs information indicating that the fingerprint is matched through the display unit and the voice output unit. And performing a function of a preset next step; And when the fingerprint information of the recognized user's current time point and the registered fingerprint information related to the identified user do not match, the display unit and the voice information indicating that the fingerprint is inconsistent by the controller. The method may further include outputting through an output unit.

As an example related to the present invention, the generating of the predicted fingerprint information may include: identifying a fingerprint change rate corresponding to the calculated difference value among the age-based fingerprint change rates of the big data; And correcting a fingerprint change of the registered fingerprint information associated with the user according to the fingerprint change rate corresponding to the identified difference value, thereby predicting what shape the fingerprint will be maintained at the current time by changing the fingerprint from the time when the registered fingerprint information is registered. The method may include generating the predicted fingerprint information.

As an example related to the present invention, the generating of the predictive fingerprint information may include calculating the fingerprint change rate according to age according to the big data-based occupation information previously stored in the storage unit based on the occupation information included in the received user information. Checking a fingerprint change rate at which the difference value corresponds to occupation information included in the user information; And generating the predicted fingerprint information by correcting a fingerprint change with respect to the registered fingerprint information associated with the user according to the identified fingerprint change rate.

The present invention calculates a difference value between the reference age and the current age of the user when attempting fingerprint recognition for a user who is above a preset reference age, and based on the calculated difference value and the age-based fingerprint change rate based on the big data. By predicting the fingerprint change for the user and comparing the predicted value of the predicted fingerprint change with the current fingerprint recognized for the user, the fingerprint recognition result according to the comparison result is provided, thereby improving the fingerprint recognition rate for the elderly and overall system operation efficiency. There is an effect to improve.

1 is a block diagram showing the configuration of a fingerprint recognition device for the elderly according to an embodiment of the present invention.
2 and 3 are flowcharts illustrating a fingerprint recognition method for the elderly according to an embodiment of the present invention.

It should be noted that the technical terms used in the present invention are merely used to describe specific embodiments, and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be interpreted as meanings generally understood by those skilled in the art unless the present invention has a special meaning defined in the present invention, and is excessively comprehensive. It should not be interpreted in the sense of or in the sense of being excessively reduced. In addition, when a technical term used in the present invention is an incorrect technical term that does not accurately express the spirit of the present invention, it should be replaced with a technical term that can be understood by those skilled in the art. In addition, the general terms used in the present invention should be interpreted as defined in the dictionary or according to the context before and after, and should not be interpreted in an excessively reduced sense.

Also, the singular forms used in the present invention include plural forms unless the context clearly indicates otherwise. Terms such as “consisting of” or “comprising” in the present invention should not be construed as necessarily including all of the various components or steps described in the present invention, and some of the components or some steps may not be included. It should be construed that it may further include, or further include, additional components or steps.

In addition, terms including ordinal numbers such as first and second used in the present invention may be used to describe components, but the components should not be limited by the terms. The terms are used only to distinguish one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, and the same or similar components will be given the same reference numerals regardless of the reference numerals, and redundant description thereof will be omitted.

In addition, in describing the present invention, when it is determined that the detailed description of the related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, it should be noted that the accompanying drawings are only for easily understanding the spirit of the present invention and should not be construed as limiting the spirit of the present invention by the accompanying drawings.

1 is a block diagram showing the configuration of a fingerprint recognition device for the elderly 10 according to an embodiment of the present invention.

As illustrated in FIG. 1, the fingerprint reader 10 for the elderly includes an input unit 100, a sensor unit 200, a communication unit 300, a storage unit 400, a display unit 500, and an audio output unit 600. And a control unit 700. Not all components of the elderly fingerprint reader 10 shown in FIG. 1 are essential components, and the elderly fingerprint reader 10 may be implemented by more components than those illustrated in FIG. The elderly fingerprint reader 10 may be implemented by fewer components.

The elderly fingerprint reader 10 may be a smart phone, a portable terminal, a mobile terminal, a foldable terminal, a personal digital assistant (PDA), Portable Multimedia Player (PMP) Terminal, Telematics Terminal, Navigation Terminal, Personal Computer, Notebook Computer, Slate PC, Tablet PC, Ultrabook, Wearable devices (e.g., including smartwatch, smart glass, head mounted display (HMD)), wibro terminal, internet protocol television (IPTV) terminal, smart It can be applied to various terminals such as TV, digital broadcasting terminal, AVN (Audio Video Navigation) terminal, A / V (Audio / Video) system, flexible terminal, digital signage device, and the like.

The input unit 100 receives a command or a control signal generated by an operation such as a button operation or a function selection by a user or a touch / scroll of a displayed screen.

In addition, the input unit 100 receives a signal corresponding to information input by a user, and includes a keypad, a dome switch, a touch pad (for example, a contact capacitive type and a pressure type). Resistive method, infrared sensing method, surface ultrasonic conduction method, integral tension measuring method, piezo effect method, etc.), touch screen, jog wheel, jog switch, jog shuttle, mouse Various devices such as a stylus pen, a touch pen, and the like may be used.

In addition, the input unit 100 may include at least one microphone (not shown) and a camera (not shown) for receiving an audio signal or a video signal. The microphone receives an external sound signal (including a user's voice (voice signal or voice information)) by an microphone in an audio call mode, a recording mode, a voice recognition mode, a video conference mode, a video call mode, and the like. Process it as data. In addition, the processed voice data may be output through the voice output unit 600 or converted into a form transmittable to an external terminal through the communication unit 300. In addition, the microphone may be implemented with various noise removal algorithms for removing noise generated in the process of receiving an external sound signal.

In addition, the input unit 100 receives user information related to a user to be fingerprint-identified according to a user input. Here, the user information includes a name, date of birth, current age, occupation information, and the like. In this case, the job information may be collected only when working in the same field for more than a predetermined period (for example, five years).

The sensor unit (or scanner / fingerprint recognition unit) 200 is composed of various devices for recognizing a user's fingerprint by an optical method or a non-optical method.

In addition, the sensor unit 200 performs a fingerprint recognition process for the user to obtain fingerprint information of the current time in relation to the user. In this case, the sensor unit 200 may obtain fingerprint information of the user through feature point extraction. Here, the fingerprint information of the current time point includes fingerprint information of at least one finger of both fingers of the user.

The communication unit 300 communicates with any component inside or any at least one terminal outside via a wired / wireless communication network. In this case, the external arbitrary terminal may include an external database (not shown), a server (not shown), and the like. Here, the wireless Internet technologies include Wireless LAN (WLAN), Digital Living Network Alliance (DLNA), Wireless Broadband (Wibro), WiMAX (World Interoperability for Microwave Access (Wimax), HSDPA (High Speed Downlink Packet Access). ), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Wireless Mobile Broadband Service (WMBS), etc. The communication unit 300 transmits and receives data according to at least one wireless Internet technology in a range including the Internet technologies not listed above. In addition, near field communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC). Ultrasound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, and the like may be included. In addition, the wired communication technology may include power line communication (PLC), USB communication, Ethernet, serial communication, serial communication, optical / coaxial cable, and the like.

In addition, the communication unit 300 may mutually transmit information with an arbitrary terminal through a universal serial bus (USB).

In addition, the communication unit 300 is a technical standard or a communication method for mobile communication (eg, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (EV), EV) Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), LTE-A (Long Term Evolution-Advanced) and the like to transmit and receive a radio signal on the base station, the database, the server and the like on a mobile communication network.

In addition, the communication unit 300 receives registration fingerprint information corresponding to user information provided from the database or server in cooperation with a database (not shown) or a server (not shown) under the control of the control unit 700. .

The storage unit 400 stores various user interfaces (UIs), graphical user interfaces (GUIs), and the like.

In addition, the storage unit 400 stores data, programs, and the like necessary for the elderly fingerprint recognition device 10 to operate.

That is, the storage unit 400 is a plurality of application programs (applications or applications) run in the fingerprint reader for the elderly (10), data for the operation of the fingerprint reader for the elderly, You can save the commands. At least some of these applications may be downloaded from an external server via wireless communication. In addition, at least some of these application programs may exist on the elderly fingerprint reader 10 from the time of shipment for the basic function of the elderly fingerprint reader 10. On the other hand, the application program is stored in the storage unit 400, is installed in the fingerprint reader for the elderly 10, the control unit 700 performs the operation (or function) of the fingerprint reader 10 for the elderly. Can be driven.

In addition, the storage unit 400 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD). Memory, etc.), magnetic memory, magnetic disks, optical disks, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), It may include at least one storage medium of the PROM (Programmable Read-Only Memory). In addition, the elderly fingerprint recognition device 10 may operate a web storage that performs a storage function of the storage unit 400 on the Internet, or may operate in connection with the web storage.

In addition, the storage unit 400 stores registration fingerprint information corresponding to the received user information under the control of the controller 700.

The display unit (or display unit) 500 may display various contents such as various menu screens using a user interface and / or a graphic user interface stored in the storage unit 400 under the control of the controller 700. have. Here, the content displayed on the display unit 500 includes various text or image data (including various information data) and a menu screen including data such as icons, list menus, combo boxes, and the like. In addition, the display unit 500 may be a touch screen.

In addition, the display unit 500 includes a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. The display device may include at least one of a flexible display, a 3D display, an e-ink display, and a light emitting diode (LED).

In addition, the display unit 500 displays registered fingerprint information corresponding to the received user information under the control of the controller 700.

The voice output unit 600 outputs voice information included in a signal processed by a predetermined signal by the controller 700. Here, the voice output unit 600 may include a receiver, a speaker, a buzzer, and the like.

In addition, the voice output unit 600 outputs the guide voice generated by the controller 700.

In addition, the voice output unit 600 outputs voice information (or sound effect) corresponding to the registered fingerprint information corresponding to the received user information under the control of the controller 700.

The controller (or microcontroller unit) 150 performs the overall control function of the fingerprint reader 10 for the elderly.

In addition, the controller 700 executes an overall control function of the fingerprint recognition device 10 for the elderly by using the program and data stored in the storage 400. The controller 700 may include a RAM, a ROM, a CPU, a GPU, a bus, and the RAM, a ROM, a CPU, a GPU, and the like may be connected to each other through a bus. The CPU may access the storage unit 400 to boot using the O / S stored in the storage unit 400, and may use various programs, contents, data, etc. stored in the storage unit 400. Various operations can be performed.

In addition, the controller 700 checks the registered fingerprint information corresponding to the user information from among the plurality of registered fingerprint information for each user information previously stored in the storage 400. Here, the registered fingerprint information includes information (for example, fingerprint registration date information, etc.) at the time of registering the fingerprint of the user, in addition to the fingerprint information registered by the user with respect to the user. In addition, the registered fingerprint information includes fingerprint information of at least one finger of both fingers of the user.

In this case, when the registered fingerprint information for each of the plurality of user information is managed in a separate database (not shown) or a server (not shown), the controller 700 may interwork with the database or the server through the communication unit 200. In addition, registration fingerprint information corresponding to the user information may be received (or obtained).

In addition, the controller 700 determines (or confirms) whether the current age (or current age) of the user exceeds a preset reference age (for example, 65 years old) based on the input user information. .

If the determination result (or the confirmation result) indicates that the current age of the user is less than or equal to the preset reference age, the controller 700 may include the fingerprint information of the current time point of the recognized (or acquired) user and the confirmed information. The registration fingerprint information related to the user is compared (or confirmed / determined).

In this case, the control unit 700 is within a predetermined threshold range (for example, 90% or more and 100%) (or a preset error range) between the similarity between the fingerprint information of the current time point of the user and the registered fingerprint information related to the user. You can also compare the presence or absence.

As such, when the current age of the user is less than or equal to the reference age, it is determined that the change of the fingerprint of the user (including a change in the distance between the hill and the bone in the fingerprint, the thickness, etc.) is not large, and thus the fingerprint information recognized at the present time. Can be used.

As a result of the comparison, when the fingerprint information of the recognized current time point of the recognized user and the registered fingerprint information related to the identified user match (or the similarity between two fingerprint information is similar within a preset error range), the controller ( 700 outputs, through the display unit 500 and / or the voice output unit 600, information indicating that fingerprints are matched (or information indicating that fingerprint recognition has been normally performed), and a function of a preset next step (e.g., For example, after the identity verification based on fingerprint recognition, the payment function, certificate issuance function, etc.) is performed.

In addition, as a result of the comparison, when the fingerprint information of the recognized current time point of the recognized user and the registered fingerprint information related to the identified user do not match (or when the similarity between the two fingerprint information is out of / over the preset error range) The controller 700 outputs, through the display unit 500 and / or the voice output unit 600, information indicating a fingerprint mismatch (or information indicating that a fingerprint recognition has failed).

In addition, when the determination result (or the confirmation result) indicates that the current age of the user exceeds the preset reference age, the controller 700 calculates a difference between the current age of the user and the reference age.

In addition, the controller 700 changes the fingerprint for the user based on the calculated difference value, the fingerprint change rate for each age based on the big data pre-stored in the storage 400, and the registered fingerprint information related to the identified user. Is predicted (or corrected) to generate predicted fingerprint information (or predicted value / corrected fingerprint information of fingerprint change).

That is, with age, a change occurs in the thickness and / or thickness between the portion where the fingerprint protrudes (an acid) and the portion where the fingerprint is recessed (bone) due to skin aging, and the interval between the acid and the bone in the fingerprint. And / or to predict fingerprint information according to a thickness change (or to predict fingerprint information at a current time point from fingerprint information registered at a time when fingerprint information is registered according to a change in state of the fingerprint). Checks the fingerprint change rate corresponding to the calculated difference value among the age-based fingerprint change rates based on the big data stored in the storage unit 400, and registers with respect to the user according to the fingerprint change rate corresponding to the identified difference value. By predicting (or correcting) a fingerprint change with respect to fingerprint information, the fingerprint is changed from the time when the registered fingerprint information is registered, Tteohan forms and generates the prediction predicting whether a fingerprint information to maintain (e. G. Comprising at equal intervals between the peaks and valleys of a fingerprint, a change in thickness).

In this case, the controller 700 considers the occupation information included in the received user information, and the fingerprint change rate according to the age of the big data based on the big data previously stored in the storage 400 (eg, based on the more detailed big data). The fingerprint difference rate corresponding to the age-based fingerprint change rate according to job information) identifies a fingerprint change rate corresponding to the job information included in the user information, and predicts the change of the registered fingerprint information according to the identified fingerprint change rate. The predicted fingerprint information with high precision may be generated. Here, the age-based fingerprint change rate according to the big data-based occupation information is occupation group (for example, occupation related to water with a high degree of wear of the fingerprint, using an industrial tool that thickens the thickness of the fingerprint, or work at a construction site, Documentation on the keyboard may vary depending on the type of clerical occupation.

As such, the controller 700 considers that the degree of change of the fingerprint may vary according to the user's occupation, and calculates the age-based fingerprint change rate and the calculation according to the big data-based occupation information that is further divided and managed according to the occupation group. The predicted fingerprint information with higher precision may be generated by predicting a change of registered fingerprint information registered for the corresponding user according to the difference value.

In this way, when the current age of the user exceeds the reference age, it is determined that the change in the fingerprint of the user (for example, a change in the distance between the mountains and bones in the fingerprint, the thickness, etc.) is large, according to the big data The new predicted fingerprint information may be generated by correcting the registered fingerprint information registered according to the fingerprint change rate.

In addition, the controller 700 compares (or confirms / determinates) whether the generated predicted fingerprint information and the registered fingerprint information related to the identified user match.

In this case, the controller 700 may determine a similarity between the predicted predicted fingerprint information of the current time point of the user and the registered fingerprint information related to the user (eg, 90% or more and 100%) (or a preset error). It is also possible to compare the presence or absence within the range.

As a result of the comparison, when the predicted fingerprint information and the registered fingerprint information related to the identified user match (or when the similarity between the two fingerprint information is similar within a preset error range), the controller 700 matches the fingerprint. Information (or information indicating that fingerprint recognition has been normally performed) is output through the display unit 500 and / or the voice output unit 600, and a function of a next preset step (for example, After confirmation of identity, it includes payment function, certificate issuance function, etc.).

In addition, when the comparison result, the generated predicted fingerprint information and the registered fingerprint information associated with the identified user does not match (or when the similarity between the two fingerprint information exceeds / exceeds a preset error range), the control unit 700 outputs, through the display unit 500 and / or the voice output unit 600, information indicating that the fingerprint is inconsistent (or information indicating that the fingerprint recognition has failed).

As described above, when fingerprint recognition is attempted for a user who is older than a preset reference age, a difference value between the reference age and the current age of the user is calculated, and based on the calculated difference value and the age-based fingerprint change rate based on the big data. A fingerprint change for a user may be predicted, and a fingerprint recognition result according to a comparison result may be provided by comparing a predicted value of the predicted fingerprint change with a current fingerprint recognized for the user.

Hereinafter, the fingerprint recognition method for the elderly according to the present invention will be described in detail with reference to FIGS. 1 to 3.

2 and 3 are flowcharts illustrating a fingerprint recognition method for the elderly according to an embodiment of the present invention.

First, the input unit 100 receives user information related to a user who wants to recognize a fingerprint according to a user input. Here, the user information includes a name, date of birth, current age, occupation information, and the like. In this case, the job information may be collected only when working in the same field for more than a predetermined period (for example, five years).

In addition, the sensor unit 200 performs a fingerprint recognition process for the user to obtain fingerprint information of the current time in relation to the user. Here, the fingerprint information of the current time point includes fingerprint information of at least one finger of both fingers of the user.

For example, the input unit 100 receives first user information (for example, Hong Gil-dong, March 01, 1940, current age 80 years, 30 years of office work, etc.) related to Hong Gil-dong user.

In addition, the sensor unit 200 recognizes the first fingerprint information of the current time point by performing a fingerprint recognition on the thumb of the right hand of the Hong Gil-dong user.

As another example, the input unit 100 receives second user information (eg, Kim Young-hee, August 01, 1990, including current age 30, etc.) related to the user.

In addition, the sensor unit 200 performs a fingerprint recognition process on the thumb of the right hand of the user, Kim Young Hee to recognize the second fingerprint information at the present time (S210).

Thereafter, the controller 700 checks the registered fingerprint information corresponding to the user information among the plurality of registered fingerprint information for each user information previously stored in the storage 400. Here, the registered fingerprint information includes information (for example, fingerprint registration date information, etc.) at the time of registering the fingerprint of the user, in addition to the fingerprint information registered by the user with respect to the user. In addition, the registered fingerprint information includes fingerprint information of at least one finger of both fingers of the user.

For example, the controller 700 checks first registered fingerprint information corresponding to the first user information related to the Hong Gil-dong among a plurality of registered fingerprint information for each user information previously stored in the storage 400.

As another example, the controller 700 checks the second registered fingerprint information corresponding to the second user information related to the Kim Young-hee among the plurality of registered fingerprint information for each user information previously stored in the server in cooperation with the server (S220). ).

Thereafter, the controller 700 determines (or confirms) whether the current age (or current age) of the user exceeds a preset reference age (for example, 65 years old) based on the input user information. .

For example, the controller 700 determines whether the age of Hong Gil-dong (eg, 80 years old) in the first user information exceeds the preset reference age (eg, 65 years old).

As another example, the controller 700 determines whether the age (for example, 30 years) of Kim Young-hee in the second user information exceeds the preset reference age (for example, 65 years) (S230). .

If the determination result (or the confirmation result) indicates that the current age of the user is less than or equal to the preset reference age, the controller 700 may include the fingerprint information of the current time point of the recognized (or acquired) user and the confirmed information. The registration fingerprint information related to the user is compared (or confirmed / determined).

For example, when the age (for example, 30 years old) of Kim Young-hee in the second user information is less than or equal to the preset reference age (for example, 65 years old), the controller 700 may be configured for the recognized Kim Young-hee user. The second fingerprint information at the present time with respect to the thumb of the right hand is compared with the identified second registered fingerprint information (S240).

As a result of the comparison, when the fingerprint information of the recognized current time point of the recognized user and the registered fingerprint information related to the identified user match (or the similarity between two fingerprint information is similar within a preset error range), the controller ( 700 outputs information indicating that fingerprints are matched (or information indicating that fingerprint recognition has been normally performed) through the display unit 500 and / or the voice output unit 600, and the function of a preset next step (for example, After the identity verification based on fingerprint recognition, payment function, certificate issuance function, etc.) are performed.

For example, as a result of the comparison, when the recognized second fingerprint information of the present time point of the right hand thumb for the recognized Kim Young-hee user and the confirmed second registered fingerprint information coincide, the controller 700 may be the Kim Young-hee fingerprint. Information indicating that recognition is normally performed is output through the display unit 500 and / or the voice output unit 600, and a process for issuing a resident registration card is performed (S250).

In addition, as a result of the comparison, when the fingerprint information of the recognized current time point of the recognized user and the registered fingerprint information related to the identified user do not match (or when the similarity between the two fingerprint information is out of / over the preset error range) The controller 700 outputs, through the display unit 500 and / or the voice output unit 600, information indicating a fingerprint mismatch (or information indicating that a fingerprint recognition has failed).

For example, as a result of the comparison, when the recognized second fingerprint information of the present time point for the right thumb of the user of the Kim Young-hee and the identified second registered fingerprint information do not match, the controller 700 may be the Kim Young-hee. Information indicating that fingerprint recognition has failed is output through the display unit 500 and / or the voice output unit 600 (S260).

In addition, when the determination result (or the confirmation result) indicates that the current age of the user exceeds the preset reference age, the controller 700 calculates a difference between the current age of the user and the reference age.

In addition, the controller 700 changes the fingerprint for the user based on the calculated difference value, the fingerprint change rate for each age based on the big data pre-stored in the storage 400, and the registered fingerprint information related to the identified user. Is predicted (or corrected) to generate predicted fingerprint information (or predicted value / corrected fingerprint information of fingerprint change).

That is, with age, a change occurs in the thickness and / or thickness between the portion where the fingerprint protrudes (an acid) and the portion where the fingerprint is recessed (bone) due to skin aging, and the interval between the acid and the bone in the fingerprint. And / or to predict fingerprint information according to a thickness change (or to predict fingerprint information at a current time point from fingerprint information registered at a time when fingerprint information is registered according to a change in state of the fingerprint). Checks the fingerprint change rate corresponding to the calculated difference value among the age-based fingerprint change rates based on the big data stored in the storage unit 400, and registers with respect to the user according to the fingerprint change rate corresponding to the identified difference value. By predicting (or correcting) a fingerprint change with respect to fingerprint information, the fingerprint is changed from the time when the registered fingerprint information is registered, Tteohan forms and generates the prediction predicting whether a fingerprint information to maintain (e. G. Comprising at equal intervals between the peaks and valleys of a fingerprint, a change in thickness).

In this case, the controller 700 considers the occupation information included in the received user information, and the fingerprint change rate according to the age of the big data based on the big data previously stored in the storage 400 (eg, based on the more detailed big data). (Fingerprint change rate according to age) according to the occupation information, the calculated difference value checks the fingerprint change rate corresponding to the occupation information included in the user information, and predicts the change in the registered fingerprint information according to the identified fingerprint change rate. The predicted fingerprint information with high precision may be generated. Here, the age-based fingerprint change rate according to the big data-based occupation information is occupation group (for example, occupation related to water with a high degree of wear of the fingerprint, using an industrial tool that thickens the thickness of the fingerprint, or work at a construction site, Documentation on the keyboard may vary depending on the type of clerical occupation.

For example, when the age (eg, 80 years) of Hong Gil-dong in the first user information exceeds the preset reference age (eg, 65 years old), the control unit 700 may determine the age (eg, Hong-Kong-Dong). For example, a first difference value (for example, 15 years / 15 years) between the reference age (for example, 65 years) is calculated.

In addition, the controller 700 may include a first fingerprint change rate corresponding to the calculated first difference value among the big data-based fingerprint change rates stored in the storage 400 in advance (for example, 15 years of registration time). The fingerprint change rate after the check) and updates the first registered fingerprint information related to the confirmed Hong Gil-dong according to the identified first fingerprint change rate to generate first predicted fingerprint information (S270).

Thereafter, the controller 700 compares (or confirms / confirms) whether the generated predicted fingerprint information and the registered fingerprint information related to the identified user match.

For example, the controller 700 compares the generated first predicted fingerprint information with the identified first registered fingerprint information (S280).

As a result of the comparison, when the predicted fingerprint information and the registered fingerprint information related to the identified user match (or when the similarity between the two fingerprint information is similar within a preset error range), the controller 700 matches the fingerprint. Information (or information indicating that fingerprint recognition has been normally performed) is output through the display unit 500 and / or the voice output unit 600, and a function of a next preset step (for example, After confirmation of identity, it includes payment function, certificate issuance function, etc.).

For example, as a result of the comparison, when the generated first predicted fingerprint information and the confirmed first registered fingerprint information match, the controller 700 displays information indicating that the Hong Gil-dong fingerprint recognition is normally performed. And / or output through the voice output unit 600, and performs a payment process for the cost of one or more goods and / services (S290).

In addition, when the comparison result, the generated predicted fingerprint information and the registered fingerprint information associated with the identified user does not match (or when the similarity between the two fingerprint information exceeds / exceeds a preset error range), the control unit 700 outputs, through the display unit 500 and / or the voice output unit 600, information indicating that the fingerprint is inconsistent (or information indicating that the fingerprint recognition has failed).

For example, when the generated first predicted fingerprint information and the confirmed first registered fingerprint information do not match, the controller 700 displays information indicating that the Hong Gil-dong fingerprint recognition has failed. 500 and / or output through the voice output unit 600 (S300).

As described above, when the fingerprint recognition is attempted for a user who is older than a preset reference age, the present invention calculates a difference value between the reference age and the current age of the user, and calculates the difference value and the big data. Predicting the fingerprint change for the user based on the age-based fingerprint change rate, and comparing the predicted value of the predicted fingerprint change with the current fingerprint recognized for the user to provide a fingerprint recognition result according to a comparison result, It can increase the fingerprint recognition rate and improve the overall system operation efficiency.

The above description may be modified and modified by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

10: fingerprint recognition device for the elderly 100: input unit
200: sensor unit 300: communication unit
400: storage unit 500: display unit
600: audio output unit 700: control unit

Claims (7)

An input unit configured to receive user information including a name, date of birth, current age, and occupation associated with a user to be fingerprint-identified according to a user input;
A sensor unit configured to perform fingerprint recognition for the user to obtain fingerprint information at the current time in relation to the user;
Checking registered fingerprint information related to the user information among a plurality of registered fingerprint information for each user information previously stored in a storage unit, and when the current age of the user included in the user information exceeds a preset reference age, Computing a difference value between an age and the reference age, and based on the calculated difference value, the age-based fingerprint change rate based on big data pre-stored in the storage unit and the registered fingerprint information associated with the identified user information. A control unit for predicting a fingerprint change to generate predicted fingerprint information, and comparing the generated predicted fingerprint information with a registered fingerprint information related to the identified user; And
And a display unit for displaying information indicating that the fingerprints match when the predicted fingerprint information and the registered fingerprint information related to the identified user match.
The control unit,
Identifying the fingerprint change rate corresponding to the calculated difference value among the fingerprint change rates for each age based on the big data, and correcting the fingerprint change of the registered fingerprint information related to the user according to the fingerprint change rate corresponding to the identified difference value; Generating the predicted fingerprint information for predicting what shape the fingerprint will change from the time point when the registered fingerprint information is registered, and the shape will be maintained at the current time point,
The job information is,
Fingerprint recognition device for the elderly, characterized in that collected only if you worked in the same field for a certain period or more. delete The method of claim 1,
The control unit,
Based on the job information included in the received user information, a fingerprint change rate in which the calculated difference value corresponds to job information included in the user information among the fingerprint change rates for each age according to the big data-based job information previously stored in the storage unit. The fingerprint recognition device for the elderly, characterized in that for generating the predicted fingerprint information by correcting the fingerprint change for the registered fingerprint information associated with the user according to the confirmed fingerprint change rate. Receiving, by the input unit, user information including a name, date of birth, current age, and occupation information associated with a user to be fingerprint-identified according to a user input;
Acquiring, by a sensor unit, fingerprint information of a current view in relation to the user by performing a fingerprint recognition process for the user;
Confirming, by the controller, registered fingerprint information related to the user information among a plurality of registered fingerprint information for each user information previously stored in a storage unit;
Calculating, by the controller, a difference value between the current age of the user and the reference age when the current age of the user included in the user information exceeds a preset reference age;
Predictive fingerprint by predicting the fingerprint change for the user based on the calculated difference value, the age-based fingerprint change rate based on the big data pre-stored in the storage unit, and the registered fingerprint information associated with the identified user information. Generating information;
Comparing, by the controller, whether the generated predicted fingerprint information and the registered fingerprint information related to the identified user match; And
As a result of the comparison, when the predicted fingerprint information and the registered fingerprint information related to the identified user match, the controller outputs information indicating that the fingerprint matches through the display unit and the voice output unit, and the preset next step. Performing the functions of
Generating the predicted fingerprint information,
Identifying a fingerprint change rate corresponding to the calculated difference value among fingerprint change rates for each age based on the big data; And
Correcting the fingerprint change of the registered fingerprint information related to the user according to the fingerprint change rate corresponding to the identified difference value, and predicting what form the fingerprint will be maintained at the current time by changing the fingerprint from the time when the registered fingerprint information is registered. Generating a predicted fingerprint information;
The job information is,
Fingerprint recognition method for the elderly, characterized in that collected only if you have worked in the same field for more than a certain period. The method of claim 4, wherein
When the current age of the user is less than or equal to the preset reference age, comparing, by the controller, whether the acquired fingerprint information of the current time point of the user and the registered fingerprint information related to the confirmed user information match;
As a result of the comparison, when the acquired fingerprint information of the current time point of the user and the registered fingerprint information related to the confirmed user are matched, the controller outputs information indicating that the fingerprint is matched through the display unit and the voice output unit. And performing a function of a preset next step; And
As a result of the comparison, when the fingerprint information at the current time point of the recognized user and the registered fingerprint information related to the identified user do not match, the display unit and the voice output information indicating that the fingerprint is inconsistent by the controller. Fingerprint identification method for the elderly, further comprising the step of outputting through the. delete The method of claim 4, wherein
Generating the predicted fingerprint information,
Based on the job information included in the received user information, a fingerprint change rate in which the calculated difference value corresponds to job information included in the user information among the fingerprint change rates for each age according to the big data-based job information previously stored in the storage unit. Checking the process; And
And generating the predicted fingerprint information by correcting a fingerprint change with respect to the registered fingerprint information associated with the user according to the identified fingerprint change rate.

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