CN112395904A - Biological feature recognition method and system - Google Patents
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Abstract
A biological feature recognition method and a system thereof are provided, wherein the biological feature recognition method comprises the following steps: collecting communication signals sent by a mobile terminal; identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID is in a sub-library; if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification; and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification. The biological characteristics are identified by the biological characteristic identification method, whether the user ID is the user ID of a common person or not can be pre-identified by probing the mobile terminal of the user in advance, if so, the user ID is sent to the sub-library for identification, the user information in the sub-library is less, and the comparison base number is less, so that the comparison in the sub-library can greatly increase the comparison speed of the biological characteristics of the user, reduce the probability of error identification, reduce the burden of system operation and reduce the consumption of system operation.
Description
Technical Field
The application relates to the technical field of intelligent terminals, in particular to a biological feature identification method and system.
Background
In the existing biometric identification method, the identified biometric features need to be sent to a master library, and the following steps are performed: and N is compared, because the cardinality is large, the probability of similar biological characteristics is greatly increased, and false identification is easily caused. In addition, the consumption of the system caused by the large base number of the comparison is increased correspondingly, and the system load is increased if the people flow is large.
1: N mode alignment: the method refers to that the currently acquired biological characteristics (1) are compared with the total library personnel (N persons) for N times in sequence so as to acquire the results of successful or failed comparison of the biological characteristics.
Disclosure of Invention
Objects of the invention
The invention aims to provide a biological characteristic identification method and a biological characteristic identification system which can quickly identify biological characteristics.
(II) technical scheme
To solve the above problem, a first aspect of the present invention provides a biometric identification method, including: collecting communication signals sent by a mobile terminal; identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID is in a sub-library; if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification; and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification.
Further, after the identifying the user ID through the communication signal, the method further includes: acquiring the number of times of the user ID; if the number of times is 1, storing the user ID and the corresponding user biological characteristics into a temporary library; and if the times are 2, storing the user ID and the corresponding user biological characteristics into the sub-library.
Further, the sub-library comprises a plurality of time sub-recognition libraries divided according to time periods, and the step of sending the biological features of the user to the sub-library comparison recognition comprises: acquiring a time period for identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID exists in a time sub-identification library corresponding to the time period or not; if yes, sending the biological characteristics of the user to the time sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Further, if the biometric feature of the user does not exist, after the biometric feature of the user is sent to the sub-library for identification, the method further includes: and if the user ID is identified again in the time period, storing the user ID and the corresponding biological characteristics into the time sub-identification library corresponding to the time period.
Further, the sub-library includes a plurality of regional sub-recognition libraries divided by regions, and the step of sending the biometric features of the user to the sub-library comparison recognition includes: acquiring a user ID area corresponding to the mobile terminal identified by the communication signal; judging whether the user ID exists in an area sub-identification library corresponding to the area; if yes, sending the biological characteristics of the user to the area sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Further, if the biometric feature of the user does not exist, after the biometric feature of the user is sent to the sub-library for identification, the method further includes: and if the user ID is identified again in the area, storing the user ID and the corresponding biological characteristics into the area sub-identification library corresponding to the area.
Further, the communication signal includes one or more of a wifi signal, a bluetooth signal, or a radio frequency signal.
Further, the biometric features include one or more of face features, fingerprint features, retina features, and iris features.
Another aspect of the present invention provides a biometric system for implementing the biometric method as claimed in the above claims, comprising: the device comprises an acquisition module and a processing module; the acquisition module is used for acquiring communication signals and user biological characteristics sent by the mobile terminal and sending the communication signals and the user biological characteristics to the processing module; the processing module is internally stored with a main library and a sub-library; the total library is stored with user information including user ID and user biological characteristics; the sub-library stores the user information extracted from the main library according to preset conditions; the processing module receives the communication signal, identifies a user ID corresponding to the mobile terminal through the communication signal and judges whether the user ID is in a sub-library or not; if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification; and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification.
Further, the processing module is further configured to obtain the number of times of the user ID; if the number of times is 1, storing the user ID and the corresponding user biological characteristics into a temporary library; and if the times are 2, storing the user ID and the corresponding user biological characteristics into the sub-library.
Further, the sub-library comprises a plurality of time sub-recognition libraries divided by time; the processing module is further configured to acquire a time period in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in a time sub-identification library corresponding to the time period; if yes, sending the biological characteristics of the user to the time sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Further, the processing module is further configured to determine the number of times the user ID is recognized within the same time period, and if the user ID is recognized again within the time period, store the user ID and the biometric characteristic corresponding to the user ID into the time sub-recognition library corresponding to the time period.
Further, the sub-library comprises a plurality of area sub-identification libraries divided by areas; the processing module is further configured to acquire an area in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in an area sub-identification library corresponding to the area; if yes, sending the biological characteristics of the user to the area sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Further, the processing module is further configured to determine the number of times the user ID is recognized in the same area, and if the user ID is recognized again in the area, store the user ID and the biometric characteristic corresponding to the user ID in the area sub-recognition library corresponding to the area.
Further, the collection module comprises one or more of a wifi probe, a bluetooth receiving terminal or a radio frequency antenna receiving module. Summary of the invention (based on independent claim 1), the principle of the invention is explained
(III) advantageous effects
The biological characteristic identification method identifies the biological characteristic, can pre-identify whether the user ID is the user ID of the common personnel by probing the mobile terminal of the user in advance, and sends the user ID to the sub-library for identification if the user ID is the user ID of the common personnel, so that the user information in the sub-library is less and the comparison base number is less, therefore, the comparison in the sub-library can greatly increase the comparison speed of the biological characteristic of the user, reduce the probability of error identification, reduce the burden of system operation and reduce the consumption of system operation.
Drawings
Fig. 1 is a flowchart of a biometric identification method of embodiment 1;
FIG. 2 is a flow chart of a preferred mode of the biometric authentication method of example 1;
FIG. 3 is a flowchart of a biometrics characteristic identification method of embodiment 2;
FIG. 4 is a flowchart of a biometrics characteristic identification method of embodiment 3;
fig. 5 is a schematic diagram of the biometric identification system of embodiment 5.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Example 1
Fig. 1 is a flowchart of a biometric identification method of embodiment 1.
As shown in fig. 1, the biometric method of the present embodiment includes: collecting communication signals sent by a mobile terminal; identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID is in a sub-library; if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification; and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification. Within each communication signal is a unique user ID.
Wherein, the total library stores user information including user ID and user biological characteristics; the sub-library stores the user information extracted from the main library according to preset conditions.
Specifically, the biometric features include one or more of face features, fingerprint features, retina features, and iris features.
Specifically, the communication signal includes one or more of a wifi signal, a bluetooth signal, or a radio frequency signal.
FIG. 2 is a flow chart of a preferred mode of the biometric authentication method of example 1;
as shown in fig. 2, after the user ID is identified by the communication signal, the method further includes: acquiring the number of times of the user ID; if the number of times is 1, storing the user ID and the corresponding user biological characteristics into a temporary library; and if the times are 2, storing the user ID and the corresponding user biological characteristics into the sub-library. In this way, a sub-library is created for identifying the general staff.
The biological characteristic identification method of the embodiment is used for identifying the biological characteristic, whether the user ID is the user ID of the common personnel can be identified in advance by probing the mobile terminal of the user, if the user ID is the user ID of the common personnel, the user ID is sent to the sub-library for identification, the user information in the sub-library is less, and the comparison base number is less, so that the comparison in the sub-library can greatly increase the comparison speed of the biological characteristic of the user, reduce the probability of error identification, reduce the burden of system operation, and reduce the consumption of system operation.
Example 2
Fig. 3 is a flowchart of the biometric identification method of embodiment 2.
As shown in fig. 2, the biometric method of the present embodiment is different from embodiment 1 in that the sub-repository includes a plurality of time sub-repositories divided by time periods, and the sending the biometric characteristic of the user to the sub-repository comparing and identifying step includes: acquiring a time period for identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID exists in a time sub-identification library corresponding to the time period or not; if yes, sending the biological characteristics of the user to the time sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Preferably, if the biometric information does not exist, after sending the biometric information of the user to the sub-library for identification, the method further includes: and if the user ID is identified again in the time period, storing the user ID and the corresponding biological characteristics into the time sub-identification library corresponding to the time period.
According to the biological feature identification method, the time labels are printed on the user information in the sub-databases, the user information is classified according to the time periods, the time sub-identification databases are established, if the user frequently enters and exits in a certain time period, the biological features of the user can be sent to the corresponding time sub-identification databases for identification, the user information in the single time sub-identification database is less than that in the sub-databases, and the comparison base number is less during comparison, so that the comparison speed of the biological features of the user can be further increased by comparing the user information in the time sub-identification databases, the probability of error identification is reduced, the burden of system operation is reduced, and the consumption of system operation is reduced.
Example 3
Fig. 4 is a flowchart of the biometric identification method of embodiment 3.
As shown in fig. 4, the biometric method of the present embodiment is different from embodiment 1 in that the sub-library includes a plurality of area sub-recognition libraries divided by areas, and the step of sending the biometric characteristic of the user to the sub-library comparison recognition includes: acquiring a user ID area corresponding to the mobile terminal identified by the communication signal; judging whether the user ID exists in an area sub-identification library corresponding to the area; if yes, sending the biological characteristics of the user to the area sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
Preferably, if the biometric information does not exist, after sending the biometric information of the user to the sub-library for identification, the method further includes: and if the user ID is identified again in the area, storing the user ID and the corresponding biological characteristics into the area sub-identification library corresponding to the area.
The biological feature identification method of the embodiment prints a place label on user information in the sub-databases, classifies the user information according to the areas, establishes the area sub-identification databases, and if the user frequently enters or exits in a certain area, the biological feature of the user can be sent to the corresponding area sub-identification database for identification, the user information in a single area sub-identification database is less than that in the sub-databases, and the comparison base number is less during comparison, so that the comparison in the area sub-identification databases can further increase the comparison speed of the biological feature of the user, reduce the probability of wrong identification, reduce the burden of system operation, and reduce the consumption of system operation.
Example 4
The biometric feature recognition method of the embodiment combines the embodiment 2 and the embodiment 3, and marks a horizontal time tag and a vertical location tag on user information in a sub-library to establish a time-space sub-recognition library, and if a user frequently gets in and out in a specified time of a certain area, such as a small express way, and regularly gets express delivery or receives express delivery from a delivery/receiving place every day, the user information of the small express way can be sent to the corresponding time-space sub-recognition library, the user information in the time-space sub-recognition library is less than the user information in the corresponding time sub-recognition library and the corresponding area sub-recognition library, and the comparison base number is less during comparison and recognition, so that the comparison speed of the biometric features of the user can be further increased by performing comparison in the area sub-recognition library, the probability of wrong recognition is reduced, the burden of system operation is lightened, and the consumption of system operation is reduced.
Example 5
Fig. 5 is a schematic diagram of the biometric identification system of embodiment 5.
As shown in fig. 5, a biometric identification system according to the present embodiment is a biometric identification system for implementing the biometric identification method, and includes: the device comprises an acquisition module and a processing module; the acquisition module is used for acquiring communication signals and user biological characteristics sent by the mobile terminal and sending the communication signals and the user biological characteristics to the processing module; the processing module is internally stored with a main library and a sub-library; the total library is stored with user information including user ID and user biological characteristics; the sub-library stores the user information extracted from the main library according to preset conditions; the processing module receives the communication signal, identifies a user ID corresponding to the mobile terminal through the communication signal and judges whether the user ID is in a sub-library or not; if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification; and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification.
Specifically, the biometric features include one or more of face features, fingerprint features, retina features, and iris features.
Specifically, the collection module includes one or more in wifi probe, bluetooth receiving terminal or the antenna receiving module.
The wifi probe is actually an AP, and the Beacon frame is regularly broadcast and sent to the periphery of the wifi probe to inform the nearby mobile terminals of the existence of the mobile terminals, and the mobile terminals, namely mobile phones, tablet computers and the like (IOS or android system compatible) continuously send probe frames to search for available wifi connections nearby. The probe frame contains the MAC address of the device, and when the wifi probe receives the probe frame, the MAC address of the device is obtained. Therefore, as long as the wifi is opened in the mobile terminal in the coverage area of the wifi probe, the wifi probe can collect the MAC addresses (with uniqueness) of the mobile devices without human intervention, when the person passes through the biometric identification device, the biometric identification device records the ID and the MAC address of the user and stores the ID and the MAC address into a temporary library, and when the person enters the area again and is captured by the wifi probe, the user information is stored into a sub-library. The biometric identification system preferably uses a sub-library to compare against the person. The sensing range of the wifi probe is within 20 meters of the periphery of the terminal.
The Bluetooth receiving terminal is similar to the wifi probe, the MAC address of the Bluetooth device has uniqueness which can uniquely correspond to the user ID, and the MAC address which acquires the connection of the Bluetooth can take the ID of the user in advance. When the user with the Bluetooth device enters the Bluetooth coverage range of the biological feature recognition device again, the biological feature recognition device senses the user in advance, and when the person passes through the biological feature recognition device, the device preferentially uses the sub-library to compare with the person. The sensing range of the Bluetooth receiving terminal is within 10 meters around the terminal.
The wifi probe of the radio frequency antenna receiving module is similar to the Bluetooth receiving terminal, the radio frequency identification technology automatically identifies a target object and obtains related data through radio frequency signals, the characteristic of uniqueness is achieved, when a mobile terminal user with the radio frequency tag enters the radio frequency signal coverage range of the biological characteristic identification device again, when the person passes through the biological characteristic identification device, the device preferentially uses the sub-library to compare with the person. The sensing range of the radio frequency antenna receiving module is within 10 meters around the terminal.
The biological characteristic identification system identifies the biological characteristics, whether the user ID is the user ID of the common personnel can be identified in advance by probing the mobile terminal of the user, if the user ID is the user ID of the common personnel, the user ID is sent to the sub-library for identification, the user information in the sub-library is less, and the comparison base number is less, so that the comparison in the sub-library can greatly increase the comparison speed of the biological characteristics of the user, reduce the probability of error identification, reduce the burden of system operation, and reduce the consumption of system operation.
Preferably, the sub-library comprises a plurality of time sub-recognition libraries divided by time; the processing module is further configured to acquire a time period in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in a time sub-identification library corresponding to the time period; if yes, sending the biological characteristics of the user to the time sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification. The processing module is further configured to determine the number of times the user ID is recognized within the same time period, and if the user ID is recognized again within the time period, store the user ID and the biometric characteristic corresponding to the user ID in the time sub-recognition library corresponding to the time period.
The time labels are printed on the user information in the sub-databases, the user information is classified according to time periods, the time sub-identification databases are established, if the user frequently enters and exits in a certain time period, the biological characteristics of the user can be sent to the corresponding time sub-identification databases for identification, the user information in the single time sub-identification database is less than that in the sub-databases, and the comparison cardinality is less during comparison, so that the comparison in the time sub-identification databases can further increase the comparison speed of the biological characteristics of the user, reduce the probability of error identification, lighten the running burden of a system and reduce the running consumption of the system.
Preferably, the sub-library includes a plurality of region sub-recognition libraries divided by regions; the processing module is further configured to acquire an area in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in an area sub-identification library corresponding to the area; if yes, sending the biological characteristics of the user to the area sub-identification library for identification; and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification. The processing module is further configured to determine the number of times the user ID is recognized in the same area, and if the user ID is recognized again in the area, store the user ID and the biometric characteristic corresponding to the user ID in the area sub-recognition library corresponding to the area.
The user information in the sub-databases is marked with the place labels, the sub-databases are established according to the regional classification, if the user frequently enters and exits in a certain region, the biological characteristics of the user can be sent to the corresponding regional sub-identification database for identification, the user information in the single regional sub-identification database is less than that in the sub-databases, and the comparison base number is less during comparison, so that the comparison in the regional sub-identification database can further increase the comparison speed of the biological characteristics of the user, reduce the probability of error identification, reduce the running burden of the system and reduce the running consumption of the system.
Preferably, the user information in the sub-databases is marked with a horizontal time label and a vertical location label to establish a time-space sub-identification database, and if the user frequently gets in and out in a certain area within a specified time, such as a little courier for express delivery, and takes or receives express at an express receiving and dispatching place regularly every day, the user information of the little courier for express delivery can be sent to the corresponding time-space sub-identification database, the user information in the time-space sub-identification database is less than the user information in the corresponding time sub-identification database and the corresponding area sub-identification database, and the comparison base number is less during comparison identification, so that the comparison in the area sub-identification database can further increase the comparison speed of the biological characteristics of the user, reduce the probability of error identification, reduce the burden of system operation, and reduce the consumption of system operation.
The processing module comprises a big data analysis platform, and the big data analysis platform is used for maintaining user information of the sub-base, the time sub-identification base, the area sub-identification base and the time-space sub-identification base. The big data analysis platform is responsible for counting the user information of the personnel passing through each area in each time interval of each identification terminal (comprising a wifi probe, a Bluetooth receiving terminal and a radio frequency antenna receiving module) on average every day, so as to determine the user information of the sub-library, the time sub-identification library, the area sub-identification library and the time-space sub-identification library.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (15)
1. A biometric identification method, comprising:
collecting communication signals sent by a mobile terminal;
identifying a user ID corresponding to the mobile terminal through the communication signal;
judging whether the user ID is in a sub-library;
if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification;
and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification.
2. The biometric method according to claim 1, further comprising, after said identifying a user ID by said communication signal:
acquiring the number of times of the user ID;
if the number of times is 1, storing the user ID and the corresponding user biological characteristics into a temporary library;
and if the times are 2, storing the user ID and the corresponding user biological characteristics into the sub-library.
3. The biometric method according to claim 1, wherein the sub-library includes a plurality of time sub-recognition libraries divided by time periods, and the step of sending the biometric characteristic of the user to the sub-library comparison recognition includes:
acquiring a time period for identifying a user ID corresponding to the mobile terminal through the communication signal;
judging whether the user ID exists in a time sub-identification library corresponding to the time period or not;
if yes, sending the biological characteristics of the user to the time sub-identification library for identification;
and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
4. The method of claim 3, wherein if the biometric information does not exist, sending the biometric information of the user to the sub-repository for recognition, further comprising:
and if the user ID is identified again in the time period, storing the user ID and the corresponding biological characteristics into the time sub-identification library corresponding to the time period.
5. The biometric method according to claim 1, wherein the sub-library includes a plurality of regional sub-recognition libraries divided by regions, and the step of sending the biometric characteristic of the user to the sub-library comparison recognition includes:
acquiring a user ID area corresponding to the mobile terminal identified by the communication signal;
judging whether the user ID exists in an area sub-identification library corresponding to the area;
if yes, sending the biological characteristics of the user to the area sub-identification library for identification;
and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
6. The method of claim 5, wherein if the biometric information does not exist, sending the biometric information of the user to the sub-repository for recognition, further comprising:
and if the user ID is identified again in the area, storing the user ID and the corresponding biological characteristics into the area sub-identification library corresponding to the area.
7. The biometric identification method of claim 1, wherein the communication signal comprises one or more of a wifi signal, a bluetooth signal, or a radio frequency signal.
8. The method of claim 1, wherein the biometric identification is performed by a biometric identification system,
the biometric features include one or more of facial features, fingerprint features, retinal features, and iris features.
9. A biometric recognition system for implementing the biometric recognition method according to any one of claims 1 to 8, comprising: the device comprises an acquisition module and a processing module;
the acquisition module is used for acquiring communication signals and user biological characteristics sent by the mobile terminal and sending the communication signals and the user biological characteristics to the processing module;
the processing module is internally stored with a main library and a sub-library;
the total library is stored with user information including user ID and user biological characteristics;
the sub-library stores the user information extracted from the main library according to preset conditions;
the processing module receives the communication signal, identifies a user ID corresponding to the mobile terminal through the communication signal and judges whether the user ID is in a sub-library or not;
if the user ID is in a sub-library, the biological characteristics of the user are sent to the sub-library for comparison and identification;
and if the user ID is not in the sub-library, the biological characteristics of the user are sent to a general library for comparison and identification.
10. The biometric identification system of claim 9,
the processing module is further configured to obtain the number of times of the user ID;
if the number of times is 1, storing the user ID and the corresponding user biological characteristics into a temporary library;
and if the times are 2, storing the user ID and the corresponding user biological characteristics into the sub-library.
11. The biometric identification system of claim 9,
the sub-library comprises a plurality of time sub-identification libraries divided according to time;
the processing module is further configured to acquire a time period in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in a time sub-identification library corresponding to the time period;
if yes, sending the biological characteristics of the user to the time sub-identification library for identification;
and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
12. The biometric identification system of claim 11,
the processing module is further configured to determine the number of times the user ID is recognized within the same time period, and if the user ID is recognized again within the time period, store the user ID and the biometric characteristic corresponding to the user ID in the time sub-recognition library corresponding to the time period.
13. The biometric identification system of claim 9,
the sub-library comprises a plurality of area sub-identification libraries divided according to areas;
the processing module is further configured to acquire an area in which the user ID corresponding to the mobile terminal is identified through the communication signal, and determine whether the user ID exists in an area sub-identification library corresponding to the area;
if yes, sending the biological characteristics of the user to the area sub-identification library for identification;
and if the biometric features do not exist, the biometric features of the user are sent to the sub-library for identification.
14. The biometric identification system of claim 11,
the processing module is further configured to determine the number of times the user ID is recognized in the same area, and if the user ID is recognized again in the area, store the user ID and the biometric characteristic corresponding to the user ID in the area sub-recognition library corresponding to the area.
15. The biometric identification system of claim 9, wherein the collection module comprises one or more of a wifi probe, a bluetooth receiving terminal, or a radio frequency antenna receiving module.
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| CN201910739859.7A CN112395904A (en) | 2019-08-12 | 2019-08-12 | Biological feature recognition method and system |
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| CN201910739859.7A CN112395904A (en) | 2019-08-12 | 2019-08-12 | Biological feature recognition method and system |
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