CN109784083B - Bionic encryption system based on fusion of grip strength information and dorsal hand vein information - Google Patents
Bionic encryption system based on fusion of grip strength information and dorsal hand vein information Download PDFInfo
- Publication number
- CN109784083B CN109784083B CN201910131515.8A CN201910131515A CN109784083B CN 109784083 B CN109784083 B CN 109784083B CN 201910131515 A CN201910131515 A CN 201910131515A CN 109784083 B CN109784083 B CN 109784083B
- Authority
- CN
- China
- Prior art keywords
- pin
- pins
- grip strength
- circuit
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
A bionic encryption system based on fusion of grip strength information and dorsal hand vein information belongs to the field of security verification. The invention aims to integrate grip strength information of a biological crack perception principle and hand back vein information of a human body into a bionic encryption system based on the integration of the grip strength information and the hand back vein information of a set of safety identification technology. The intelligent digital signal acquisition device comprises an AD acquisition controller, a temporary data storage circuit, an AD signal transmission circuit, an AD7606 connection module, a miniUSB interface circuit, a USB conversion circuit, a 5V-to-3.3V circuit, a second part AD acquisition controller crystal oscillator, a first part AD acquisition controller crystal oscillator, an AD acquisition controller reset circuit, a sound alarm, a light alarm, a Wheatstone bridge, a differential amplification circuit, an image acquisition interface and a GSM module. The encryption system combines the behavior characteristics (finger joint grip strength) and the physiological characteristics (hand back veins) as the characteristics of identity recognition, and integrates the advantages of the behavior characteristics and the physiological characteristics, thereby ensuring the uniqueness and the accuracy of the identity authentication of the encryption system and making up the defect that the existing encryption system only uses single physiological characteristics.
Description
Technical Field
The invention belongs to the field of security verification.
Background
With the arrival of the artificial intelligence era, intelligence has become the dominant melody of the current social development, and meanwhile, the identification/authentication mode of personal identity is changing greatly. The identity identification is mainly used for identifying the identity of a user so as to determine whether the user has access and use authority to certain resources, prevent an attacker from impersonating a legal user of the user to obtain the access authority of the resources, ensure the safety of a system and data and authorize the legal benefit of an accessor. The traditional identity identification mainly adopts a password, a smart card, a key and other verification articles for identification, is easy to steal and forge, and cannot judge whether users of the verification articles really hold the password, the smart card and the key. If the password is lost, extra information is needed to retrieve the password; if the smart card, key, etc. is lost, the corresponding hardware may also need to be replaced to avoid further loss. Biometric identification technology (including physiological features and behavioral features) is used for identifying a user by extracting features of a body (veins, human faces, keystrokes and the like), and is widely applied to the field of identity identification/authentication. As an alternative to conventional locks, a wide variety of fingerprints, face recognition systems, and the like have received great attention. However, most encryption recognition systems adopt single biological characteristics (vein recognition systems, fingerprint recognition systems and the like), even if part of encryption recognition systems adopt double biological characteristics, identity recognition is basically carried out by using single physiological characteristics (a plurality of selected physiological characteristics such as fingerprints, veins, human faces and the like), and combined recognition is carried out by rarely adopting physiological characteristics and behavior characteristics (gait, keystroke, press and the like). Each individual biometric feature has its own disadvantages that reduce the security and reliability of the system. In order to make up for the blank that the existing encryption system lacks the joint identification of physiological characteristics and behavior characteristics, the security, reliability and the like of the encryption system need to be researched.
Disclosure of Invention
The invention aims to integrate grip strength information of a biological crack perception principle and hand back vein information of a human body into a bionic encryption system based on the integration of the grip strength information and the hand back vein information of a safety identification technology.
The intelligent digital signal acquisition device comprises an AD acquisition controller, a temporary data storage circuit, an AD signal transmission circuit, an AD7606 connection module, a miniUSB interface circuit, a USB conversion circuit, a 5V-to-3.3V circuit, a second part AD acquisition controller crystal oscillator, a first part AD acquisition controller crystal oscillator, an AD acquisition controller reset circuit, a sound alarm, a light alarm, a Wheatstone bridge, a differential amplification circuit, an image acquisition interface and a GSM module;
an AD acquisition controller: an STM32F03ZE chip is adopted;
a temporary data storage circuit: adopting W25Q80B, wherein a pin 1 is connected with a PD7 pin of an AD acquisition controller and is connected with a 3.3V power supply through a resistor R81, pins 6, 5 and 2 are respectively connected with PB 13-PB 15 of the AD acquisition controller, pins 3 and 7 are connected and are connected with the 3.3V power supply through a resistor R69, a pin 8 is grounded through a capacitor C79, and a pin 4 is grounded;
AD signal transmission circuit: for an AD7606 module, pins 1 and 2 are respectively connected with a 5V and a ground wire, pins 7 and 8 are connected with a PB pin of an AD acquisition controller, pins PC13/PD0, pins 1,4,6,8-10,14,15/PE4-15/PF5/PG6 and 9 are respectively connected with the same labeled pins of the AD acquisition controller, and pins PA0-3 and PF6-9 are respectively connected with pins 7-4 and 20-17 of the AD7606 connection module;
AD7606 connection module: pins 7-4 and 20-17 are respectively connected with PA0-3 and PF6-9 in the AD signal transmission circuit, pins 7-4 are respectively connected with pin 2 of P1 in the eight differential amplification circuits, pins 1 and 11 are connected with 3.3V, and pins 2 and 12 are grounded;
miniUSB interface circuit: pins 2 and 3 are used for connecting an upper computer, a pin on the left side is used for connecting an RX/TX pin of a controller, a pin 4 is grounded, and a pin 1 is connected with 5V;
the USB conversion circuit: the pins 4 and 16 are connected with a 3.3V power supply and are grounded through a capacitor connection pin 1, pins 2 and 3 are respectively connected with RX and TX of a GSM module and are simultaneously connected with a PA9 pin of an AD acquisition controller, pins 7 and 8 are connected with a crystal oscillator Y4, and two ends of the crystal oscillator Y4 are grounded through capacitors C45 and C46 respectively;
5V to 3.3V circuit: the pin 3 of the AS1117 is simultaneously connected with a 5V power supply, grounded through capacitors C38 and C42 which are connected in parallel and connected with a power switch circuit K; 2. the 4-pin outputs 3.3V and is connected with the ground through capacitors C40 and C41 which are connected in parallel, a 5V power supply is connected with the ground through the capacitors, and 5V and 3.3V in the circuit are used for supplying power to the whole circuit;
a second part AD acquisition controller crystal oscillator: two ends of the crystal oscillator Y1 are connected with pins 23-24 of the AD acquisition controller, and are grounded through capacitors C20 and C21 respectively;
a first part AD acquisition controller crystal oscillator: the crystal oscillator Y2 connecting section is connected with 8-9 pins of the AD acquisition controller and is grounded through capacitors C16 and C19 respectively;
AD acquisition controller reset circuit: the 3.3V power supply is grounded through a resistor R25 and a capacitor C23, one end of a RESET switch RST is grounded, the other end of the RESET switch RST is connected with a pin 25 of the AD acquisition controller through a RESET pin and is connected between a resistor R25 and the capacitor C23 at the same time;
an audible alarm: pin 1 of J8 and pin PG3 of AD acquisition controller; the buzzer is grounded through a resistor R19, is connected with a collector C of the triode, is connected with a VCC power supply through an emitter E of the triode Q2, and a base B of the triode is connected with a resistor R39 and is connected with a pin 1 of J8;
the light ray alarm device comprises: one end of the LED is grounded, and the other end of the LED is connected to a pin 89 of the AD acquisition controller through a resistor R7;
wheatstone bridge: r2 is connected with VCC and OUT-, R3 is connected with OUT-and GND, R4 is connected with OUT + and GND, and R1_ Varistor is connected with VCC and OUT +; the 1 pin of the input ends P2 and P3 in the differential amplification circuit is connected through out-and out +;
a differential amplifier circuit: a pin 2 of U1 is connected to a pin 1 of P2 through a resistor R2, a resistor R3 and a capacitor C1, and is connected to a pin 6 through a resistor R1 and a resistor R4, a pin 3 of U1 is connected to a pin 1 of P3 through a resistor R5 and a capacitor C3, and is grounded through a resistor R6, a pin 4 is connected to a negative power supply, the negative power supply is connected with GND through a capacitor C5, a pin 6 is connected to a pin 2 of P1 through a capacitor C4, a pin 7 is connected to a 5V power supply, and is grounded through a capacitor C2;
an image acquisition interface: pins 1 and 3 are connected to a serial port of the camera, and pins 2 and 4 are connected to a serial port of an upper computer;
a GSM module: VCC and GND are connected to 5V power supply and ground.
The work engineering of the bionic encryption system is as follows: the crack strain sensor collects the finger joint grip strength information of four fingers except the thumb, the acquisition controller performs pin configuration on AD7606, performs AD acquisition on an input grip strength voltage signal, performs CRC (cyclic redundancy check) on the sampled data, transmits the acquired grip strength signal to the processor module through a serial port, the processor module eliminates interference data through the CRC, extracts the grip strength signal of each finger by adopting the same data format as the acquisition controller, and simultaneously the vein image acquisition module acquires a hand back vein image under near infrared illumination, including the hand back vein information of a user, then the processor module extracts the finger joint grip strength characteristics, veins and contour characteristics, stores the characteristics in a user characteristic database, and grants corresponding use permission to the user;
the grip strength acquisition process comprises the following steps: holding the grip with a hand, detecting grip signals by the four-way crack strain sensor, transmitting the signals to the AD acquisition controller through the bridge and the amplifying circuit, calculating CRC (cyclic redundancy check) codes of the acquired signals by the AD acquisition controller, sending the signal data and the calculated check codes to the processor module, and repeatedly finishing the process;
the vein collection process comprises the following steps: the annular infrared light source is started to irradiate the palm holding the rod, the image collector collects the irradiated back meridian image of the hand and transmits the image to the processor module;
and (3) a characteristic extraction process: performing feature extraction on the collected grip strength signal and vein image through a signal and image processing algorithm, wherein the feature extraction comprises the features of grip strength change time, grip strength value, vein texture wheel and the like when four fingers hold the grip and release the grip;
and (3) an authentication stage: when the finger joint enters a confidential area, the grip strength information and the vein information of the finger joint are respectively acquired by the grip strength acquisition module and the vein image acquisition module, the grip strength characteristic and the vein characteristic of the finger joint are extracted by the processor module, then the similarity comparison is carried out on the finger joint grip strength characteristic and the vein characteristic with the user characteristic in the authorized user characteristic database, and the similarity is carried out according to the following rules:
when the similarity is greater than the threshold value, the secret area is opened, and the user can enter the secret area; if the number of the mobile phone is smaller than the threshold value, the closing state of the secret area is kept, the secret area is determined as an unauthorized person, an alarm module is started, and meanwhile, the GSM sends information to a specified mobile phone number;
when an unauthorized user tries to enter a secret area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and is compared with the personnel characteristic information in the large-scale identity database to search the personal information of the user.
The invention has the following advantages:
1. the encryption system combines the behavior characteristics (finger joint grip strength) and the physiological characteristics (hand back veins) as the characteristics of identity identification, integrates the advantages of the behavior characteristics and the physiological characteristics, thereby ensuring the uniqueness and the accuracy of the identity authentication of the encryption system and making up the defect that the existing encryption system only uses single physiological characteristics;
2. the crack strain sensor in the encryption system is arranged on the inner side of the PVC foam, so that the concealment is stronger, the possibility that the system is stolen by an unauthorized user is reduced, the sensor cannot be observed by the user, the rejection sense of the user in the use process can be reduced, and the experience degree and the comfort of the user are improved;
3. the vein identification part of the encryption system has anti-counterfeiting performance, even if an unauthorized user deceives the vein identification part through a forged vein image, the vein identification part cannot pass through the finger joint grip strength detection part, and the safety and the reliability of the system are further improved;
4. for an unauthorized user trying to enter a secret area, recording the biological characteristic information and the occurrence frequency of the user, and matching with a large identity database to obtain the identity of the user;
5. the bionic pressure sensor adopted by the invention is a high-sensitivity pressure sensor simulating the morphological characteristics of scorpion body surface cracks, and has the characteristic of high sensitivity.
Drawings
FIG. 1 is an AD acquisition controller of the present invention;
FIG. 2 is a circuit diagram of a temporary data storage circuit according to the present invention;
FIG. 3 is a circuit diagram of the AD7606 interface of the present invention;
FIG. 4 is a circuit diagram of the AD7606 pin interface of the present invention;
FIG. 5 is a circuit diagram of the miniUSB interface according to the present invention;
FIG. 6 is a USB conversion circuit diagram of the present invention;
FIG. 7 is a circuit diagram of the present invention from 5V to 3.3V;
FIG. 8 is a circuit diagram of a second AD acquisition controller crystal oscillator according to the present invention;
FIG. 9 is a circuit diagram of the first AD acquisition controller crystal oscillator according to the present invention;
FIG. 10 is a reset circuit diagram of the AD acquisition controller of the present invention;
FIG. 11 is a circuit diagram of a portion of an audible and visual alarm of the present invention;
FIG. 12 is a circuit diagram of a portion of a light alarm in the audible and visual alarm of the present invention;
FIG. 13 is a Wheatstone bridge circuit diagram according to the invention;
FIG. 14 is a differential amplifier circuit diagram of the present invention;
FIG. 15 is an image capture interface circuit diagram of the present invention;
FIG. 16 is a circuit diagram of a GSM module of the invention;
FIG. 17 is a block diagram of the encryption system architecture of the present invention;
FIG. 18 is a block diagram of the encryption system identification flow of the present invention
FIG. 19 is a flow chart of authorized subscriber feature database acquisition of the present invention;
FIG. 20 is a schematic view of a crack strain sensor installation;
FIG. 21 is a distribution diagram of LEDs.
Detailed Description
The intelligent wireless remote control system comprises an AD acquisition controller, a temporary data storage circuit, an AD signal transmission circuit, an AD7606 connection module, a miniUSB interface circuit, a USB conversion circuit, a 5V-to-3.3V circuit, a second part AD acquisition controller crystal oscillator, a first part AD acquisition controller crystal oscillator, an AD acquisition controller reset circuit, a sound alarm, a light alarm, a Wheatstone bridge, a differential amplification circuit, an image acquisition interface and a GSM module;
an AD acquisition controller: an STM32F03ZE chip is adopted;
a temporary data storage circuit: adopting W25Q80B, wherein a pin 1 is connected with a PD7 pin of an AD acquisition controller and is connected with a 3.3V power supply through a resistor R81, pins 6, 5 and 2 are respectively connected with PB 13-PB 15 of the AD acquisition controller, pins 3 and 7 are connected and are connected with the 3.3V power supply through a resistor R69, a pin 8 is grounded through a capacitor C79, and a pin 4 is grounded;
AD signal transmission circuit: for an AD7606 module, pins 1 and 2 are respectively connected with a 5V and a ground wire, pins 7 and 8 are connected with a PB pin of an AD acquisition controller, pins PC13/PD0, pins 1,4,6,8-10,14,15/PE4-15/PF5/PG6 and 9 are respectively connected with the same labeled pins of the AD acquisition controller, and pins PA0-3 and PF6-9 are respectively connected with pins 7-4 and 20-17 of the AD7606 connection module;
AD7606 connection module: pins 7-4 and 20-17 are respectively connected with PA0-3 and PF6-9 in the AD signal transmission circuit, pins 7-4 are respectively connected with pin 2 of P1 in the eight differential amplification circuits, pins 1 and 11 are connected with 3.3V, and pins 2 and 12 are grounded;
miniUSB interface circuit: pins 2 and 3 are used for connecting an upper computer, a pin on the left side is used for connecting an RX/TX pin of a controller, a pin 4 is grounded, and a pin 1 is connected with 5V;
the USB conversion circuit: the pins 4 and 16 are connected with a 3.3V power supply and are grounded through a capacitor connection pin 1, pins 2 and 3 are respectively connected with RX and TX of a GSM module and are simultaneously connected with a PA9 pin of an AD acquisition controller, pins 7 and 8 are connected with a crystal oscillator Y4, and two ends of the crystal oscillator Y4 are grounded through capacitors C45 and C46 respectively;
5V to 3.3V circuit: the pin 3 of the AS1117 is simultaneously connected with a 5V power supply, grounded through capacitors C38 and C42 which are connected in parallel and connected with a power switch circuit K; 2. the 4-pin outputs 3.3V and is connected with the ground through capacitors C40 and C41 which are connected in parallel, a 5V power supply is connected with the ground through the capacitors, and 5V and 3.3V in the circuit are used for supplying power to the whole circuit;
a second part AD acquisition controller crystal oscillator: two ends of a crystal oscillator Y1 are connected with pins 23-24 of the AD acquisition controller, and are grounded through capacitors C20 and C21 respectively;
a first part AD acquisition controller crystal oscillator: the crystal oscillator Y2 connecting section is connected with 8-9 pins of the AD acquisition controller and is grounded through capacitors C16 and C19 respectively;
AD acquisition controller reset circuit: the 3.3V power supply is grounded through a resistor R25 and a capacitor C23, one end of a RESET switch RST is grounded, and the other end of the RESET switch RST is connected with a pin 25 of the AD acquisition controller through a RESET pin and is connected between a resistor R25 and the capacitor C23;
an audible alarm: pin 1 of J8 and pin PG3 of AD acquisition controller; the buzzer is grounded through a resistor R19, is connected with a collector C of the triode, is connected with a VCC power supply through an emitter E of the triode Q2, and a base B of the triode is connected with a resistor R39 and is connected with a pin 1 of J8;
the light ray alarm device comprises: one end of the LED is grounded, and the other end of the LED is connected to a pin 89 of the AD acquisition controller through a resistor R7;
wheatstone bridge: r2 is connected with VCC and OUT-, R3 is connected with OUT-and GND, R4 is connected with OUT + and GND, and R1_ Varistor is connected with VCC and OUT +; the 1 pin of the input ends P2 and P3 in the differential amplification circuit is connected through out-and out +;
a differential amplifier circuit: a pin 2 of U1 is connected to a pin 1 of P2 through a resistor R2, a resistor R3 and a capacitor C1, and is connected to a pin 6 through a resistor R1 and a resistor R4, a pin 3 of U1 is connected to a pin 1 of P3 through a resistor R5 and a capacitor C3, and is grounded through a resistor R6, a pin 4 is connected to a negative power supply, the negative power supply is connected with GND through a capacitor C5, a pin 6 is connected to a pin 2 of P1 through a capacitor C4, a pin 7 is connected to a 5V power supply, and is grounded through a capacitor C2;
an image acquisition interface: pins 1 and 3 are connected to a serial port of the camera, and pins 2 and 4 are connected to a serial port of an upper computer;
a GSM module: VCC and GND are connected to 5V power supply and ground.
The work engineering of the bionic encryption system is as follows: the crack strain sensor collects the finger joint grip strength information of four fingers except the thumb, the acquisition controller performs pin configuration on AD7606, performs AD acquisition on an input grip strength voltage signal, performs CRC (cyclic redundancy check) on the sampled data, transmits the acquired grip strength signal to the processor module through a serial port, the processor module eliminates interference data through the CRC, extracts the grip strength signal of each finger by adopting the same data format as the acquisition controller, and simultaneously the vein image acquisition module acquires a hand back vein image under near infrared illumination, including the hand back vein information of a user, then the processor module extracts the finger joint grip strength characteristics, veins and contour characteristics, stores the characteristics in a user characteristic database, and grants corresponding use permission to the user;
the grip strength acquisition process comprises the following steps: holding the grip with a hand, detecting grip signals by the four-way crack strain sensor, transmitting the signals to the AD acquisition controller through the bridge and the amplifying circuit, calculating CRC (cyclic redundancy check) codes of the acquired signals by the AD acquisition controller, sending the signal data and the calculated check codes to the processor module, and repeatedly finishing the process;
the vein collection process comprises the following steps: the annular infrared light source is started to irradiate the palm holding the rod, the image collector collects the irradiated back meridian image of the hand and transmits the image to the processor module;
and (3) a characteristic extraction process: performing feature extraction on the collected grip strength signal and vein image through a signal and image processing algorithm, wherein the feature extraction comprises the features of grip strength change time, grip strength value, vein texture wheel and the like when four fingers hold the grip and release the grip;
and (3) an authentication stage: when the finger joint enters a confidential area, the grip strength information and the vein information of the finger joint are respectively acquired by the grip strength acquisition module and the vein image acquisition module, the grip strength characteristic and the vein characteristic of the finger joint are extracted by the processor module, then the similarity comparison is carried out on the finger joint grip strength characteristic and the vein characteristic with the user characteristic in the authorized user characteristic database, and the similarity is carried out according to the following rules:
when the similarity is greater than the threshold value, the secret area is opened, and the user can enter the secret area; if the number of the mobile phone is smaller than the threshold value, the closing state of the secret area is kept, the secret area is determined as an unauthorized person, an alarm module is started, and meanwhile, the GSM sends information to a specified mobile phone number;
when an unauthorized user tries to enter a secret area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and is compared with the personnel characteristic information in the large-scale identity database to search the personal information of the user.
The present invention is described in further detail below: (with the attached figures)
Fig. 1 shows an AD acquisition controller, which is used to perform AD signal acquisition (8-channel, 16-bit accuracy) and transmit the acquired AD data to an upper computer.
In the figure, a pin 71 is connected with GND, a pin 72 is connected with a 3.3V power supply, and two pins provide power supply for the controller.
Are connected to the 6,2,5,1 pin of W25Q80B of FIG. 2 via pins 74-76 (PB 13-15) and 123 (PD 7).
The signal is connected with 3,17,18,10,14,28-30, 15,16,6-4, 17-27,9,12,11 (PC 13/PD0,1,4, 6/PE 4-15/PF5/PG6, 9) in the figure 3 through pins 7,114,118,122,77-79,85-86, 3-5,58-68,15,91,124 (PC 13/PD0,1,4, 6/PE 4-15/PF5/PG6, 9).
Connected to the 2, 3 pins of miniUSB of fig. 5 via pins 70-69 (PB 11, PB 10).
The 3, 2(RXD, TXD) pins of the serial port conversion circuit of FIG. 6 are connected through the 101, 102(PA9, PA10) pins.
The 5V and GND of FIG. 7 are connected via pins 71, 72.
Are connected with the 1,2 pins of the crystal oscillator Y1 of FIG. 8 through 23 and 24, and are connected with the 1,2 pins of the crystal oscillator Y2 of FIG. 9 through two pins of 8 and 9.
The reset pin of the reset circuit of fig. 10 is connected through pin 25.
Connected to J8 of fig. 11 via 88 (PG 3) pins.
Connected to P2 of fig. 12 via pin 89 (PG 4).
Fig. 2 shows a W25Q80B for temporarily storing data. Wherein pin 1 is connected to the 3.3V power supply through resistance R81, and 3,7 pin connections to connect the 3.3V power supply through resistance R69, 4 pin and ground are continuous, and pin 8 is connected to the 3.3V power supply, simultaneously through electric capacity C79 and ground, the electric capacity is used for filtering.
Fig. 3 is an AD7606 module, configured to collect an AD signal and transmit the AD signal to a controller. The pins 1 and 2 are respectively connected with 5V and ground, and the pins 7 and 8 are connected.
Fig. 4 shows an AD acquisition connection module (itself, a pin of AD 7606) for providing an external signal input for AD 7606. Pins 1,11 are connected to 3.3V, and pins 2,12 are connected to ground to provide power for the module. Pin 10-3 is connected to pin 2 of P1 in 8 differential amplifier circuits shown in fig. 14, while the two circuits are common ground.
Fig. 5 is a miniUSB interface circuit for transmitting the acquired AD signals to an upper computer. Pins 4 and 5 are grounded, and pin 1 is connected with 5V and used for supplying power. And the pins 2 and 3 are used for connecting an upper computer.
Fig. 6 is a USB conversion circuit for converting a USB interface into a serial port. Pin 1 is grounded and connected to the 3.3 power supply and pin 16 through the capacitor C44, pin 4 is connected to the 3.3V power supply and is grounded through the capacitor C47, pin 7 and pin 8 are connected to the crystal oscillator Y4 for providing clock signals, and the two ends of the crystal oscillator are grounded through the capacitors C45 and C46. Pin 2 is connected to RX of fig. 16 and pin 3 is connected to TX of fig. 16.
Fig. 7 is a 5V to 3.3V circuit for converting a 5V power supply to a 3.3V power supply. The 3-pin of the AS1117 is connected with a 5V power supply, is grounded through capacitors C38 and C42 and is connected with a power switch circuit (the lower left corner part), the 2 and 4-pin outputs 3.3V, and is connected with the ground through capacitors C40 and C41, and 5V and 3.3V in the circuit are used for supplying power to the whole circuit. And is connected with other circuits through 3.3V and GND.
In fig. 8, the crystal oscillator Y1 is grounded through capacitors C20 and C21 to provide a high-precision clock signal for the controller.
In fig. 9, the crystal oscillator Y2 is grounded through capacitors C16 and C19 to provide a clock signal for the controller.
Fig. 10 shows a controller reset circuit providing the controller reset function, RST is a reset switch, and a capacitor C23 resistor R25 between 3,3V and ground provides the reset voltage for the reset circuit.
Fig. 11 shows the audible and visual alarm sound part, the buzzer is grounded through a resistor R19, and is connected with the VCC power supply through a transistor Q2, a transistor B is connected with a resistor R39, and the Buzzer (BZ) provides an audible alarm when a signal is provided by J8.
Fig. 12 shows the light portion of the audible and visual alarm, with the LED connected to ground at one end and to P2 through resistor R7 at the other end, and the indicator light D1 provides a light alarm when the signal is provided by P2.
FIG. 13 is a Wheatstone bridge for detecting a change in the pressure sensor. The resistors R2, R3 and R4 are fixed resistors, R1_ Varistor is a bionic pressure sensor, R2 is connected with VCC and OUT-, R3 is connected with OUT-and GND, R4 is connected with OUT + and GND, and R1_ Varistor is connected with VCC and OUT +, and the voltage of an OUT pin is changed by the change of the pressure sensor. VCC and GND provide power for the wheatstone bridge. Are connected to pin 1 of the inputs P2, P3 in fig. 14 via out-and out +.
Fig. 14 is a difference amplification circuit for performing difference calculation and amplification on the voltage signals output from fig. 13. The pin 2 is connected to the pin 1 of the P2 through resistors R2, R3 and a capacitor C1, and is connected to the pin 6 through resistors R1 and R4, the pin 3 is connected to the pin 1 of the P3 through a resistor R5 and a capacitor C3, and is connected to the ground through a resistor R6, the pin 4 is connected to a negative power supply, the negative power supply is connected with GND through a capacitor C5, the pin 6 is connected to the pin 2 of the P1 through a capacitor C4, the pin 7 is connected to a 5V power supply, and is connected to the ground through a capacitor C2. The resistor R1 between pins 2 and 6 is an adjustable resistor for adjusting the amplification factor. The P2 and P3 connected capacitor resistors (C1, R2, R3, C3 and R5) are used for circuit filtering.
Fig. 15 is an image acquisition interface for transmitting an acquired image to an upper computer. Pins 1 and 3 are connected to a serial port of the camera, and pins 2 and 4 are connected to a serial port of the upper computer.
Fig. 16 is a GSM short message sending module, configured to send a short message to a specified mobile phone number. VCC and GND are connected to 5V power supply and ground.
1. User database establishment: the crack strain sensor collects the grip strength information of the knuckle of four fingers except the thumb of a user (four crack strain sensors (R1_ varistors) are connected to a Wheatstone bridge (figure 13), the outputs (out-and out +) of the Wheatstone bridge are connected to the pin 1 of the P2 and P3 of a differential amplifying circuit (figure 14), the output pin (2 pins of the P1) of the differential amplifying circuit is connected to the AD7606 (figure 3) through an AD7606 connecting module (figure 4), and then is connected to an AD collection controller (figure 1), the collection controller performs AD collection on the AD7606 (the sampling frequency is 2 KHz, namely 1S collects the voltage signals of 2000 single fingers), performs CRC (the conventional algorithm) on the sampled data, thereby achieving the purpose of avoiding the interference of the data in the transmission process, and transmits the collected grip strength signals to an upper computer through a serial port (figure 6) by adopting the 256 KHz ratio, the upper computer eliminates interference data through CRC, and extracts a grip strength signal of each finger by adopting a data format the same as that of the acquisition controller); meanwhile, the vein image acquisition module acquires a hand back vein image under near-infrared illumination (the acquired image is set by a program to be a gray level image of 640X480 and the sampling frequency is 2 HZ), and the hand back vein image acquisition module contains information of the hand back vein of the user (the acquired image is transmitted to an upper computer through an image acquisition interface (figure 15)); then the upper computer extracts the finger joint grip strength characteristics (including the characteristics of grip strength change time, grip strength value and the like when four fingers hold the grip and release the grip) and vein texture and contour characteristics, stores the characteristics in a user characteristic database, and grants corresponding use permission to the user (the user in the user characteristic database can enter a secret area through the encryption system, and the user in a non-database can not enter the secret area);
grip strength acquisition procedure (protocol description): a user holds the holding rod, the four-way crack strain sensor detects a holding force signal, the signal is transmitted to the AD acquisition controller (figure 1) through the electric bridge (figure 13) and the amplifying circuit (figure 14), the AD acquisition controller carries out CRC check code calculation on the acquired signal, the signal data and the check code obtained through calculation are sent to the upper computer together, and the process is repeatedly completed; and the upper computer starts program overflow interruption, when the number N (set manually) of the received data is reached, the program reads the received data from the buffer area, performs CRC (cyclic redundancy check) code calculation on the signal data, compares the signal data with the check code of the AD acquisition controller, deletes the data different from the check code calculated by the AD acquisition controller, and obtains a signal without data error or loss.
The vein collection process comprises the following steps: the annular infrared light source is started to irradiate the palm holding the rod, the image collector collects the irradiated back meridian images of the hand and transmits the images to the upper computer.
And (3) a characteristic extraction process: and performing feature extraction on the acquired grip strength signal and the vein image through a signal and image processing algorithm, wherein the feature extraction comprises the features of grip strength change time, grip strength value, vein texture contour and the like when the four fingers hold the grip and release the grip.
2. And a user authentication stage: when a user tries to enter a secret area, the grip strength acquisition module and the vein image acquisition module respectively acquire the grip strength information and the vein information of the finger jointsExtracting the grip strength characteristics and vein characteristics of the knuckle (same as the acquisition process, including the grip strength change time and the grip strength value of four fingers when the grip is held and released, texture wheels of veins and other characteristics) by using an upper computer, and then comparing the similarity with the user characteristics in an authorized user characteristic database (the similarity is compared with the similarity of the user characteristics in the authorized user characteristic database)
The Ai is the grip strength and vein characteristics in the characteristic database, Bi is the grip strength and vein characteristics of the current verification user, and similarity is similarity), when the similarity is larger than a threshold value, the secret area is opened, and the user can enter; if the number of the mobile phone is smaller than the threshold value, keeping a secret area closed state (as an unauthorized person), starting an alarm module, and simultaneously sending information to a specified mobile phone number by the GSM;
3. when an unauthorized user tries to enter a secret area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and is compared with the personnel characteristic information in the large-scale identity database to search the personal information of the user.
Signal acquisition: and (3) configuring relevant parameters (baud rate and the like) during starting, inputting the grip voltage signal sampled by AD7606 for encoding to obtain AD data, then performing CRC (cyclic redundancy check) verification, and transmitting the data and the verification result to an upper computer through a serial port (the baud rate is 256 Khertz).
In view of the defect that various existing encryption systems lack physiological characteristics and behavior characteristics for joint identification, the invention provides a bionic encryption system based on the fusion of grip strength information and human hand back vein information of a biological crack perception principle. The encryption system combines grip strength identification technology and vein identification technology, so that the uniqueness and accuracy of identity identification are guaranteed, and the safety and reliability of the encryption system are improved. The invention identifies the user by using the inherent characteristics of the human body, and can effectively avoid the problems of stealing and forging the characteristics of the user and obtaining the corresponding authority.
In order to achieve the purpose, the invention is realized by the following technical scheme: a bionic encryption system based on fusion of grip strength information and human hand back vein information based on biological crack perception principle is characterized in that: comprises a grip strength acquisition module; a vein image acquisition module; an authorized user characteristics database; an unauthorized user characteristic database; an alarm module; a large identity database; a display module and a processor module.
1. The grip force acquisition module: the device is used for collecting finger joint grip strength signals of an index finger, a middle finger, a ring finger and a little finger of a user in the identity verification process;
2. a vein image acquisition module: the device is used for acquiring a vein image of the back of a hand of a user under the irradiation of a near infrared light source;
3. authorized user feature database: storing vein features and knuckle grip features of an authorized user;
4. unauthorized user characteristic database: the system is used for recording the biological characteristic information of an unauthorized user trying to enter a secret area and obtaining the identity information of the unauthorized user by comparing the biological characteristic information with a large identity database;
5. an alarm module: when detecting that an unauthorized user tries to enter the secret area, the alarm module is started to warn the unauthorized user, the information that someone tries to enter the secret area is sent to the appointed mobile phone number through the GSM module, and if the information of the corresponding user is found in the large-scale identity database, the information is sent to the appointed mobile phone number together. The alarm form comprises sound, light and other alarm modes;
6. large identity databases: a large database containing identity information and biometric (knuckle grip and vein) information for finding information of unauthorized users therein;
7. a display module: displaying necessary information, such as user identity information entering a secret area, granted use authority and the like;
8. the processor module: the finger joint grip strength detection device is used for processing the collected finger joint grip strength signals and vein images and extracting respective characteristic information; comparing and authenticating with the user information in the authorized user characteristic database, if the user information is matched with the authorized user information, opening a secret area, and allowing the user to enter; otherwise, the secret area keeps a closed state, a safety alarm is started, meanwhile, the information of the user is stored in an unauthorized user characteristic database, then the information of the unauthorized user can be searched by matching with a large identity database, and then the message that the unauthorized user tries to enter the secret area is sent to a specific mobile phone number through a GSM module;
the grip collecting module is used for collecting the finger joint grip signals of the index finger, the middle finger, the ring finger and the little finger of the user in the identity verification process. Specifically, the grip strength acquisition module comprises a crack strain sensor, a differential amplifier and an AD acquisition module, and the grip strength change of the knuckle is detected through a non-electric quantity electric measurement technology. The crack strain sensor is used for converting the change of a finger joint grip strength signal into the change of a resistance value, then converting the change into a voltage signal through a Wheatstone bridge, amplifying the signal through a differential amplifier with high input impedance, high gain and low noise, and finally acquiring and transmitting the signal to the processor module by using a high-speed and high-precision (16-bit precision) AD acquisition module;
the vein image acquisition module is used for acquiring vein images of the back of a hand of a user. Specifically, the vein image acquisition module comprises an annular infrared light source, a light diffusion plate and a near-infrared camera. The annular infrared light source adopts LEDs with the wavelength of 850nm, the LEDs are arranged on concentric circles with different radiuses, the brightness in all directions is guaranteed to be consistent when vein images are collected, and a plurality of point light sources of the LEDs are converted into parallel light sources by matching with a light-diffusing plate, so that the lighting condition is further improved, and the imaging effect is improved; the near-infrared camera is used for collecting hand back vein images under the condition of near-infrared light source irradiation, and can effectively filter the influence of natural light;
the authorized user characteristic database is used for storing the information of the legal user and endowing the corresponding user with certain authority. Specifically, the user database comprises finger joint grip strength characteristic information, dorsal hand vein characteristic information and authority information of the user. When a user tries to enter a confidential area, comparing finger joint grip strength characteristic information and vein characteristic information which are acquired and extracted on site with user information in an authorized user characteristic database through a processor module, and when the similarity of the finger joint grip strength characteristic information and the vein characteristic information is greater than a threshold value, determining that the user is an authorized user; otherwise, the user is an unauthorized user;
the unauthorized user characteristic database is used for storing the biological characteristic information of the unauthorized user. When the processor module detects that an unauthorized user tries to enter a confidential area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and can be matched with a large identity database to search the identity information of the user;
the alarm module is used for prompting an authorized user that an unauthorized user tries to enter a secret area, playing a role of warning the unauthorized user, controlling the on-off of the alarm module through the processor module, simultaneously sending the situation to a specified mobile phone number through the GSM module, and if the information of the user is detected in the large database, sending the information to the specified mobile phone number;
the large-scale identity database comprises finger joint grip characteristic information, vein characteristic information and corresponding identity information of a plurality of persons, and is used for searching identity information of an unauthorized user;
the display module: the device is used for displaying the authority of an authorized user entering the secret area or the identity information of an unauthorized user;
the processor module is used for receiving the collected finger joint gripping force information and vein information of the user, judging whether the user is authorized or not by extracting the characteristics and then comparing the characteristics with the characteristic data of the authorized user characteristic database, and opening a secret area for the authorized user; otherwise, the alarm module is started, the biological characteristic information is recorded, and the large-scale identity database is matched to search the unauthorized user trying to enter the secret area.
A bionic encryption system based on fusion of grip strength information and human hand back vein information based on biological crack perception principle is characterized in that: the device for collecting the finger joint grip strength signal is designed as follows: use the PVC foam as the main part, crack strain transducer is pasted to the foam inboard, this kind of sensor is a novel bionical pressure sensor based on scorpion body surface crackle perception principle development, it is sensitive to have, it is stable, small, low-priced characteristic, add one deck plastic protection film in crack strain transducer inboard, prevent that the sensor shifts or wearing and tearing in the use, when the user carries out authentication, crack strain transducer takes place deformation, the sensor of deformation resumes to initial condition through the PVC foam behind the pine hand, thereby guarantee the repetitive operation of grip collection module, wherein crack strain transducer is a pressure sensor who has the bionical scorpion body surface crackle form characteristic of high sensitivity.
The working principle of the encryption system of the invention is as follows: 1. user database establishment: the crack strain sensor collects the finger joint grip strength information in the hand holding process of a user, wherein the finger joint grip strength information comprises finger joint grip strength change time, a grip strength value and the like; meanwhile, the vein image acquisition module acquires a vein image of the back of the hand under near-infrared illumination, wherein the vein image contains vein information of the back of the hand of the user; then extracting the grip strength characteristic and vein characteristic of the knuckle, and storing the characteristics in a user characteristic database; 2. and a user authentication stage: when a user tries to enter a secret area, the grip strength acquisition module and the vein image acquisition module respectively acquire finger joint grip strength information and vein information, the processor module is utilized to extract finger joint grip strength characteristics and vein characteristics, similarity comparison is carried out on the finger joint grip strength characteristics and the vein characteristics and user characteristics in an authorized user characteristic database, when the similarity is larger than a threshold value, authority information of the authorized user is displayed, the secret area is opened, and the authorized user can enter the secret area; if the value is less than the threshold value, the closing state of the secret area is kept, the safety alarm is started, meanwhile, the biological characteristic information of the user is stored in an unauthorized user characteristic database, compared with a large-scale identity database, the information of the user is searched and displayed on a display screen.
As a further improvement of the invention, the encryption system can grant different levels of use rights for different levels of users.
As a further improvement of the present invention, the encryption system may also use other types of materials for restoring the sensors to the original state.
As a further improvement of the invention, the encryption system can also adopt finger veins or palm prints or knuckle prints to replace the vein of the back of the hand for identity recognition.
Fig. 17 is a structural diagram of an encryption system designed by the present invention: comprises a grip strength acquisition module; a vein image acquisition module; an authorized user characteristics database; an unauthorized user characteristic database; an alarm module; a large identity database; a display module and a processor module. The processor module and other modules are electrically connected;
1. the grip strength acquisition module comprises a crack strain sensor, a differential amplifier and an AD acquisition module, and the grip strength information of the knuckle is obtained by a non-electric quantity electric measurement method. The crack strain sensor is used for converting a grip strength change signal into a resistance value change, then converting the resistance value change into a voltage signal by using a Wheatstone bridge, directly accessing the crack strain sensor into the bridge, then amplifying the signal by using a high-input-impedance, high-gain and low-noise differential amplifier, connecting the output end of the bridge to the input end of the differential amplifier, finally acquiring and transmitting the signal to the processor module by using the AD acquisition module, connecting the differential amplifier to an AD input pin of the AD acquisition module, and connecting the AD acquisition module and the processor module by using an address line and a data line, thereby converting a finger joint grip strength signal of a user into a digital signal which can be processed by the processor; the crack strain sensor adopts a High-sensitivity bionic scorpion body surface crack morphological characteristic pressure sensor which is described in articles Superfast and High-sensitivity variable crack sensors with bio-induced crack arrays and High-performance flexible crack sensors by Korean Shiwu et al, and FIG. 20 is a crack strain sensor installation schematic diagram in the invention, when a user performs identity verification, the sensor deforms and is further used for grip signal detection; after verification is completed, the deformed sensor is restored to an initial state by virtue of PVC foam, repeated work of the grip strength acquisition module is ensured, and the plastic protection film is used for preventing the sensor from shifting or being worn in the use process;
2. the vein image acquisition module comprises an annular near-infrared light source, a light diffusion plate and a near-infrared camera. Under the irradiation of infrared rays, the light absorption rate of the vein part is different from that of other parts, so that a clear vein image can be acquired. Therefore, the invention adopts a near-infrared light source for illumination, selects LEDs with the wavelength of 850nm to form an annular light source, adopts the arrangement mode as shown in figure 21, arranges the LEDs on concentric circles with different radiuses, ensures that the illumination conditions in all directions at the position right below the camera are the same, adds a light-diffusing plate in front of the light source for further improving the illumination effect, converts a plurality of LED point light sources into parallel light sources, uses the near-infrared camera for vein image acquisition in order to effectively filter the influence of natural light and acquire ideal vein images, and connects the camera with a processor in a serial port mode;
3. the authorized user characteristic database is used for storing information of authorized users, and the information comprises finger joint grip strength characteristic information, hand back vein characteristic information and corresponding authorities of the users. The authorized user characteristic database acquisition flow chart is as shown in fig. 19, and corresponding authority is given to the user after acquisition is completed;
4. the unauthorized user characteristic database is used to store biometric information of unauthorized users attempting to enter the secured area. When the processor module detects that an unauthorized user tries to enter the confidential area, the biological characteristic information of the user is stored in an unauthorized user characteristic database, and the identity of the user can be searched in a large identity database through the characteristic data;
5. the alarm module comprises an acousto-optic warning module and a GSM module, and is electrically connected with the processor. When the processor module detects that an unauthorized user tries to enter a secret area, the processor module starts the sound and light warning module, warns the unauthorized user and reminds the authorized user, and simultaneously sends the information (the unauthorized user tries to enter the secret area) to a specific mobile phone number through the GSM module;
6. the large-scale identity database comprises a large number of individual finger joint grip strength and hand back vein characteristic information and identity information corresponding to the finger joint grip strength and hand back vein characteristic information, and is used for searching identity information of unauthorized users;
7. the display module comprises a touch screen module used for displaying the use permission of the authorized user, performing input operation and the like;
8. the processor module of the present invention generally controls the entire encryption system. In the registration process, by receiving the finger joint grip strength and vein information acquired by the grip strength acquisition module and the vein image acquisition module, extracting respective characteristic information according to the process of figure 19, and then storing the information of a user needing authorization in the module; in the user authentication process, extracting corresponding characteristic information by collecting the finger joint grip strength and vein information of a user, then comparing the characteristic information with information in an authorized user characteristic database, judging whether the user is an authorized user, and when the similarity of the finger joint grip strength and the vein information is greater than a threshold value, determining the user as the authorized user; otherwise, the user is an unauthorized user, and for an authorized user, the secret area is opened and the user can enter; for an unauthorized user, recording the biological characteristic information of the unauthorized user, starting an alarm module, prompting the authorized user, and sending the information that a current person tries to enter a secret area to an appointed mobile phone number through GSM; in the investigation process of the unauthorized user, the large-scale identity database is matched to search the unauthorized user trying to enter the secret area;
9. the working principle of the encryption system of the invention is as follows: 1. user database establishment: the crack strain sensor collects the finger joint grip strength information of the fingers except the thumb of the user, including the change time of the grip strength, the grip strength value and the like; meanwhile, the vein image acquisition module acquires a hand back vein image under near-infrared illumination, wherein the hand back vein image contains information of a hand back vein of a user; then extracting the grip force characteristics and vein characteristics of the knuckle, storing the characteristics in a user characteristic database, and then granting corresponding use permission to the user; 2. and a user authentication stage: when a user tries to enter a secret area, the grip strength acquisition module and the vein image acquisition module respectively acquire finger joint grip strength information and vein information, the processor module is utilized to extract finger joint grip strength characteristics and vein characteristics, similarity comparison is carried out on the finger joint grip strength characteristics and the vein characteristics and user characteristics in an authorized user characteristic database, and when the similarity is larger than a threshold value, the secret area is opened and the user can enter the secret area; if the number of the mobile phone is smaller than the threshold value, the closing state of the secret area is kept, an alarm module is started, and meanwhile, the GSM sends information to a specified mobile phone number; 3. when an unauthorized user tries to enter a secret area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and is compared with the personnel characteristic information in the large-scale identity database to search the personal information of the user.
Claims (1)
1. The utility model provides a bionical encryption system based on grip information fuses with back of the hand vein information which characterized in that: the intelligent digital signal acquisition device comprises an AD acquisition controller, a temporary data storage circuit, an AD signal transmission circuit, an AD7606 connection module, a miniUSB interface circuit, a USB conversion circuit, a 5V-to-3.3V circuit, a second part AD acquisition controller crystal oscillator, a first part AD acquisition controller crystal oscillator, an AD acquisition controller reset circuit, a sound alarm, a light alarm, a Wheatstone bridge, a differential amplification circuit, an image acquisition interface and a GSM module;
the working process of the bionic encryption system is as follows: the crack strain sensor collects the finger joint grip strength information of four fingers except the thumb, the acquisition controller performs pin configuration on AD7606, performs AD acquisition on an input grip strength voltage signal, performs CRC (cyclic redundancy check) on the sampled data, transmits the acquired grip strength signal to the processor module through a serial port, the processor module eliminates interference data through the CRC, extracts the grip strength signal of each finger by adopting the same data format as the acquisition controller, and simultaneously the vein image acquisition module acquires a hand back vein image under near infrared illumination, including the hand back vein information of a user, then the processor module extracts the finger joint grip strength characteristics, veins and contour characteristics, stores the characteristics in a user characteristic database, and grants corresponding use permission to the user;
an AD acquisition controller: an STM32F03ZE chip was used;
a temporary data storage circuit: adopting W25Q80B, wherein a pin 1 is connected with a PD7 pin of an AD acquisition controller and is connected with a 3.3V power supply through a resistor R81, pins 6, 5 and 2 are respectively connected with PB 13-PB 15 of the AD acquisition controller, pins 3 and 7 are connected and are connected with the 3.3V power supply through a resistor R69, a pin 8 is grounded through a capacitor C79, and a pin 4 is grounded;
AD signal transmission circuit: for an AD7606 module, pins 1 and 2 are respectively connected with a 5V and a ground wire, pins 7 and 8 are connected with a PB pin of an AD acquisition controller, pins PC13/PD0, pins 1,4,6,8-10,14,15/PE4-15/PF5/PG6 and 9 are respectively connected with the same labeled pins of the AD acquisition controller, and pins PA0-3 and PF6-9 are respectively connected with pins 7-4 and 20-17 of the AD7606 connection module;
AD7606 connection module: pins 7-4 and 20-17 are respectively connected with PA0-3 and PF6-9 in the AD signal transmission circuit, pins 7-4 are respectively connected with pin 2 of P1 in the eight differential amplification circuits, pins 1 and 11 are connected with 3.3V, and pins 2 and 12 are grounded;
miniUSB interface circuit: pins 2 and 3 are used for connecting an upper computer, a pin on the left side is used for connecting an RX/TX pin of a controller, a pin 4 is grounded, and a pin 1 is connected with 5V;
the USB conversion circuit: the pins 4 and 16 are connected with a 3.3V power supply and are grounded through a capacitor connection pin 1, pins 2 and 3 are respectively connected with RX and TX of a GSM module and are simultaneously connected with a PA9 pin of an AD acquisition controller, pins 7 and 8 are connected with a crystal oscillator Y4, and two ends of the crystal oscillator Y4 are grounded through capacitors C45 and C46 respectively;
5V to 3.3V circuit: the pin 3 of the AS1117 is simultaneously connected with a 5V power supply, grounded through capacitors C38 and C42 which are connected in parallel and connected with a power switch circuit K; 2. the 4-pin outputs 3.3V and is connected with the ground through capacitors C40 and C41 which are connected in parallel, a 5V power supply is connected with the ground through the capacitors, and 5V and 3.3V in the circuit are used for supplying power to the whole circuit;
a second part AD acquisition controller crystal oscillator: two ends of the crystal oscillator Y1 are connected with pins 23-24 of the AD acquisition controller, and are grounded through capacitors C20 and C21 respectively;
a first part AD acquisition controller crystal oscillator: the crystal oscillator Y2 connecting section is connected with 8-9 pins of the AD acquisition controller and is grounded through capacitors C16 and C19 respectively;
AD acquisition controller reset circuit: the 3.3V power supply is grounded through a resistor R25 and a capacitor C23, one end of a RESET switch RST is grounded, and the other end of the RESET switch RST is connected with a pin 25 of the AD acquisition controller through a RESET pin and is connected between a resistor R25 and the capacitor C23;
an audible alarm: pin 1 of J8 and pin PG3 of AD acquisition controller; the buzzer is grounded through a resistor R19, is connected with a collector C of the triode, is connected with a VCC power supply through an emitter E of the triode Q2, and a base B of the triode is connected with a resistor R39 and is connected with a pin 1 of J8;
the light ray alarm device comprises: one end of the LED is grounded, and the other end of the LED is connected to a pin 89 of the AD acquisition controller through a resistor R7;
wheatstone bridge: r2 is connected with VCC and OUT-, R3 is connected with OUT-and GND, R4 is connected with OUT + and GND, and R1_ Varistor is connected with VCC and OUT +; the 1 pin of the input ends P2 and P3 in the differential amplification circuit is connected through out-and out +;
a differential amplification circuit: a pin 2 of U1 is connected to a pin 1 of P2 through a resistor R2, a resistor R3 and a capacitor C1, and is connected to a pin 6 through a resistor R1 and a resistor R4, a pin 3 of U1 is connected to a pin 1 of P3 through a resistor R5 and a capacitor C3, and is grounded through a resistor R6, a pin 4 is connected to a negative power supply, the negative power supply is connected with GND through a capacitor C5, a pin 6 is connected to a pin 2 of P1 through a capacitor C4, a pin 7 is connected to a 5V power supply, and is grounded through a capacitor C2;
an image acquisition interface: pins 1 and 3 are connected to a serial port of the camera, and pins 2 and 4 are connected to a serial port of an upper computer;
a GSM module: VCC and GND are connected with a 5V power supply and ground;
the grip strength acquisition process comprises the following steps: holding the grip with a hand, detecting grip signals by the four-way crack strain sensor, transmitting the signals to the AD acquisition controller through the bridge and the amplifying circuit, calculating CRC (cyclic redundancy check) codes of the acquired signals by the AD acquisition controller, sending the signal data and the calculated check codes to the processor module, and repeatedly finishing the process;
the vein collection process comprises the following steps: the annular infrared light source is started to irradiate the palm holding the rod, the image collector collects the irradiated back meridian image of the hand and transmits the image to the processor module;
and (3) a characteristic extraction process: performing feature extraction on the collected grip strength signal and the vein image through a signal and image processing algorithm, wherein the feature extraction comprises grip strength change time and grip strength value of four fingers when the grip is held and the grip is released, and vein texture contour features;
and an authentication stage: when the finger joint enters a confidential area, the grip strength information and the vein information of the finger joint are respectively acquired by the grip strength acquisition module and the vein image acquisition module, the grip strength characteristic and the vein characteristic of the finger joint are extracted by the processor module, then the similarity comparison is carried out on the finger joint grip strength characteristic and the vein characteristic with the user characteristic in the authorized user characteristic database, and the similarity is carried out according to the following rules:
when the similarity is greater than the threshold value, the secret area is opened, and the user can enter the secret area; if the number of the mobile phone is smaller than the threshold value, the closing state of the secret area is kept, the secret area is determined as an unauthorized person, an alarm module is started, and meanwhile, the GSM sends information to a specified mobile phone number;
when an unauthorized user tries to enter a secret area, the biological characteristic information of the user is stored in an unauthorized user characteristic database and is compared with the personnel characteristic information in the large-scale identity database to search the personal information of the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910131515.8A CN109784083B (en) | 2019-02-22 | 2019-02-22 | Bionic encryption system based on fusion of grip strength information and dorsal hand vein information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910131515.8A CN109784083B (en) | 2019-02-22 | 2019-02-22 | Bionic encryption system based on fusion of grip strength information and dorsal hand vein information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109784083A CN109784083A (en) | 2019-05-21 |
| CN109784083B true CN109784083B (en) | 2022-09-02 |
Family
ID=66485854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910131515.8A Active CN109784083B (en) | 2019-02-22 | 2019-02-22 | Bionic encryption system based on fusion of grip strength information and dorsal hand vein information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109784083B (en) |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100453040C (en) * | 2007-01-23 | 2009-01-21 | 天津理工大学 | Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method |
| CN101246543B (en) * | 2008-03-18 | 2010-06-02 | 苏州纳米技术与纳米仿生研究所 | Examiner identity identification method based on bionic and biological characteristic recognition |
| CN101441711B (en) * | 2008-11-18 | 2012-05-30 | 华南理工大学 | Identification authentication system based on finger print and hand back vein |
| CN101408938B (en) * | 2008-11-18 | 2012-05-23 | 华南理工大学 | Identification authentication apparatus based on finger biologic characteristics |
| CN101847208B (en) * | 2010-06-11 | 2012-06-06 | 哈尔滨工程大学 | Secondary classification fusion identification method for fingerprint and finger vein bimodal identification |
| CN102542263A (en) * | 2012-02-06 | 2012-07-04 | 北京鑫光智信软件技术有限公司 | Multi-mode identity authentication method and device based on biological characteristics of fingers |
| CN104217480B (en) * | 2014-08-29 | 2017-08-25 | 华南理工大学 | A kind of intelligent access control system based on fingerprint and finger vein joint identification |
| CN204028945U (en) * | 2014-09-05 | 2014-12-17 | 吉林大学 | Hand shape based on DSP and palm vein multimodal recognition device |
| EP3057034B1 (en) * | 2015-02-10 | 2019-08-28 | Korecen Co., Ltd. | Finger vein authentication system |
| CN105956569A (en) * | 2016-05-11 | 2016-09-21 | 电子科技大学 | Finger vein identification based identity authentication platform |
| CN107437074B (en) * | 2017-07-27 | 2020-02-28 | 深圳市斑点猫信息技术有限公司 | Identity authentication method and device |
| CN107729883A (en) * | 2017-11-22 | 2018-02-23 | 吉林大学 | A kind of vein image area-of-interest exacting method |
| CN207718393U (en) * | 2017-12-29 | 2018-08-10 | 中国船舶重工集团公司第七一0研究所 | A kind of finger vein image acquisition device for authentication |
| CN108319911B (en) * | 2018-01-30 | 2024-04-26 | 深兰科技（上海）有限公司 | Biological identity authentication and payment system and identity authentication method based on hand vein recognition |
-
2019
- 2019-02-22 CN CN201910131515.8A patent/CN109784083B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109784083A (en) | 2019-05-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Alsaadi | Physiological biometric authentication systems, advantages, disadvantages and future development: A review | |
| CN104933344B (en) | Mobile terminal user identity authentication device and method based on multi-biological characteristic mode | |
| CN104217480B (en) | A kind of intelligent access control system based on fingerprint and finger vein joint identification | |
| Kataria et al. | A survey of automated biometric authentication techniques | |
| Akhtar et al. | Biometrics: In search of identity and security (Q & A) | |
| CN101674184B (en) | Identity recognition method based on user keystroke characteristic | |
| CN103838366B (en) | Facial expression control system, expression control method and computer system thereof | |
| CN101211484A (en) | Method and device for preventing peep of cipher when withdrawing at ATM | |
| Eng et al. | Look into my eyes: A survey of biometric security | |
| CN106709417A (en) | Multimodal biological recognition system and use method thereof | |
| CN103800016A (en) | Human body identity gait recognition system based on combination of visual sense and tactile sense and recognition method thereof | |
| CN205354031U (en) | Portable multimode biological characteristics identity identification equipment and system | |
| CN109255219A (en) | A kind of temperature sense unlocking method and system based on bio-identification terminal | |
| CN103207963A (en) | Two-factor authentication system based on fingerprint and vein recognition | |
| CN114140275A (en) | Smart community cloud platform system with health care function | |
| CN105809444B (en) | High-security payment system and method | |
| CN105809442B (en) | High-security payment system and method | |
| JP2002278938A (en) | Method and device for identifying individual, individual identification program and individual authenticating system | |
| Haque et al. | Secure techniques and methods for authenticating visually impaired mobile phone users | |
| Tanviruzzaman et al. | Your phone knows you: Almost transparent authentication for smartphones | |
| CN114511933A (en) | Multi-modal biological characteristic fusion identity recognition method | |
| CN109784083B (en) | Bionic encryption system based on fusion of grip strength information and dorsal hand vein information | |
| CN111371951B (en) | Smart phone user authentication method and system based on electromyographic signals and twin neural network | |
| CN203324988U (en) | Dual fingerprint and vein identification verification system | |
| CN109478322A (en) | Person authentication device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |