CN113112666A - Method, identification equipment and system for improving biological information identification speed - Google Patents
Method, identification equipment and system for improving biological information identification speed Download PDFInfo
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Abstract
The application discloses a method for improving the speed of biological information identification, which comprises the following steps: the method comprises the steps of obtaining the characteristics of the current biological information to be identified at the identification equipment side for identifying the biological information, and matching the biological information to be identified with the compared characteristics in at least one subset, wherein the subset is obtained by screening from a compared characteristic set containing all compared characteristics according to real-time additional information associated with the biological information to be identified, and the compared characteristics in the compared characteristic set correspond to the additional information associated with the biological information. Due to the real-time property of the additional information, the number of the compared features in the subset can be always maintained at a lower level, the compared features in the subset can be dynamically changed, the hit rate of matching is improved, the maintenance of the subset data is facilitated, the space occupied by the subset data is small, and the reduction of the identification speed along with the increase of the number of the bases of the compared features is avoided.
Description
Technical Field
The invention relates to the field of biological information identification, in particular to a method for improving the speed of biological information identification.
Background
In the process of biological information identification, features extracted based on biological information to be identified are mainly matched with compared features, and therefore an identification result is obtained.
As an example, when performing face recognition authentication, an access control system based on face recognition needs to compare face data acquired in real time with face data recorded in advance one by one. When the pre-recorded face cardinality is large, the face recognition speed is increased in proportion to the cardinality, and the face recognition speed is slowed down.
In practical applications, not only human face recognition, but also in the process of recognizing biological information such as iris, fingerprint, and voiceprint, the recognition speed is reduced due to the increase of the number of bases of the compared features.
Disclosure of Invention
The present invention provides a method for increasing the speed of biometric information recognition to avoid a decrease in recognition speed as the number of bases of features to be compared increases.
The method for improving the biological information identification speed provided by the invention is realized as follows: on the side of the identification device for identifying biological information,
acquiring the characteristics of the current biological information to be identified,
matching the biometric characteristic to be identified with the compared characteristics of at least one subset,
wherein,
the subset is obtained by screening a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the compared features in the compared feature set correspond to the additional information associated with the biological feature information.
Preferably, said matching the biometric characteristic to be identified with the compared features of at least one subset comprises,
matching the biological characteristics to be identified with the compared characteristics in the current matching priority subsets according to the matching priority order of the subsets,
if the matching is not successful, matching the biological characteristics to be identified with the compared characteristics in the next matching priority subset; the matching priority order of each subset is from high to low;
if the matching is successful, deleting the compared features successfully matched in the subset;
the matching the biometric characteristic to be identified with the compared characteristic in the next matching priority subset further comprises:
and when the matching of the biological features to be identified and the compared features in all the subsets is unsuccessful, matching the biological features to be identified and the compared features in the compared feature set except the compared features in all the subsets, and outputting a prompt of failure in matching if the matching is unsuccessful.
Preferably, the subset is obtained by filtering from a compared feature set including all compared features according to real-time additional information associated with the biometric information to be identified, and the method includes:
the identification device receives the real-time additional information captured from the external device/system, and the compared features corresponding to the real-time additional information are screened from the compared feature set according to the real-time additional information and added to the corresponding subset.
Preferably, the subset is obtained by filtering from a compared feature set including all compared features according to real-time additional information associated with the biometric information to be identified, and the method includes:
the identification equipment receives all subsets sent by a management client of a system where the identification equipment is located, wherein the management client screens compared features corresponding to real-time additional information from a compared feature set according to the received real-time additional information captured by external equipment/system, the compared features are added to the corresponding subsets to obtain the subsets, and the matching priority order of the subsets is set.
Preferably, the additional information is related to real-time mobile information of the biological features to be recognized, the mobile information at least comprises one of vehicle-mounted identification, parking space information and mobile terminal identification, and the recognition device is determined according to the additional information;
the compared features in the compared feature set correspond to at least one of vehicle-mounted identification, parking space information and mobile terminal identification.
Preferably, when the movement information includes parking space information and/or a vehicle-mounted identifier, the identification device is an identification device which is determined according to the parking space information and/or the vehicle-mounted identifier and is closest to the parking space; the compared features in the compared feature set correspond to parking space information and/or vehicle-mounted identification;
the subsets are obtained by screening from a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the method comprises the following steps:
when the mobile information comprises parking space information and a vehicle-mounted mark and the parking space information is fixed, screening out compared characteristics corresponding to the parking space information from the compared characteristic set according to the parking space information, and adding the compared characteristics into a first subset; when the current vehicle-mounted identification captured by an external system is received, according to the vehicle-mounted identification, the compared features corresponding to the vehicle-mounted identification are screened out from the first subset and added to the second subset; wherein the matching priority of the second subset is higher than the matching priority of the first subset;
or
When the mobile information comprises the parking space information and the vehicle-mounted identification and the parking space information changes, screening compared characteristics corresponding to the vehicle-mounted identification from the compared characteristic set according to the vehicle-mounted identification, and adding the compared characteristics to a first subset;
or
When the mobile information comprises the vehicle-mounted identification or the fixed and unchangeable parking space information, the compared features screened out from the compared feature set are added to the first subset according to the mobile information.
Preferably, when the mobile information includes a mobile terminal identifier, the identification device is an identification device determined according to specific information generated by the mobile terminal and/or a mobile terminal positioning result, wherein the mobile terminal positioning is triggered by capturing the specific information generated by the mobile terminal;
the compared features in the compared feature set correspond to mobile terminal identifications;
the subsets are obtained by screening from a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the method comprises the following steps:
when receiving a mobile terminal identifier captured by an external device/system, adding the compared features screened from the compared feature set to a first subset according to the mobile terminal identifier, wherein the mobile terminal identifier is determined by the external device/system according to specific information generated by the mobile terminal.
The invention further provides an identification device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to realize any one of the methods for improving the speed of biological information identification.
Preferably, the identification device is an access control device.
The invention provides an identification system, which comprises a computer device for managing identification devices and at least one identification device.
The method for improving the speed of biological information identification provided by the application is characterized in that at least one subset obtained by screening a compared feature set containing all compared features is matched with the compared features in the subset according to real-time additional information associated with the biological feature information to be identified, the compared features in the subset are far lower than the compared feature number in the compared feature set, and the compared features in the subset depend on the real-time additional information, so that the compared features in the subset are not influenced even if the compared feature number in the compared feature set is increased, the reduction of the identification speed caused by the increase of the base number of the compared features in the compared feature set is avoided, and the number of the compared features in the subset can be always maintained at a lower level due to the real-time property of the additional information, compared characteristics in the subsets can be dynamically changed, the matching hit rate is improved, the maintenance of the subset data is facilitated, and the space occupied by the subset data is small.
Drawings
Fig. 1 is a schematic flow chart illustrating an embodiment of the present application for increasing a face recognition speed.
Fig. 2 is a schematic view of a door access system.
Fig. 3 is a schematic flow chart illustrating a process of increasing the face recognition speed according to this embodiment.
Fig. 4 is a schematic diagram of obtaining the first subset according to the first embodiment.
Fig. 5 is a schematic diagram of obtaining the second subset according to the first embodiment.
Fig. 6 is a schematic flow chart illustrating the second embodiment of the present invention for increasing the face recognition speed.
Fig. 7 is a schematic flow chart illustrating a process of increasing the face recognition speed according to the third embodiment.
Fig. 8 is a schematic diagram of an identification device according to an embodiment of the present application.
Fig. 9 is another schematic diagram of the identification device of the present application.
Detailed Description
For the purpose of making the objects, technical means and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings.
According to the method and the device, at least one subset with different matching priorities is screened from the compared feature set by utilizing the real-time additional information associated with the biological information, and the features of the biological information to be identified are matched with the compared features in each subset according to the sequence from high to low of the matching priorities until a matching result is obtained. In this way, the biometric information to be recognized is preferentially matched with the compared features in the higher-priority subset, whereby the recognition speed is changed to be reduced as the number of bases in the compared feature set increases, so that the recognition speed is maintained at a more rapid level.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a process for increasing the speed of recognizing biometric information according to the present application. On the side of an identification device for identifying biological information, the method for improving the speed of identification of biological information includes,
preferably, the biometric features to be identified are matched with the compared features in the current matching priority subset in the order of the matching priority of each subset,
if the matching is not successful, matching the biological characteristics to be identified with the compared characteristics in the next matching priority subset, repeatedly executing the steps until all the subsets are matched, matching the biological characteristics to be identified with the compared characteristics in the compared characteristic set except the compared characteristics in all the subsets,
and if the matching is successful, deleting the compared features successfully matched in the subset, and finishing.
Wherein,
each subset is obtained by screening a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the compared features in the compared feature set correspond to the additional information associated with the biological feature information;
the matching priority order of each subset is from high to low;
the real-time additional information is obtained by the identification device or obtained from an external system by a management client of a system where the identification device is located.
For the convenience of understanding the present application, a face recognition access control system is taken as an example for the following description. It should be understood that identification of other biometric information including, and not limited to, palm prints, fingerprints, irises, voice prints, etc. may also be applicable.
In combination with the actual use scene of the current large-scale government and enterprise, the use process of the access control system is as follows:
1) when the vehicle enters the park area, vehicle authentication is carried out through vehicle-mounted identification;
2) parking the vehicle in the assigned fixed parking space;
3) carrying out face identification authentication at a attendance point closest to a parking space;
the use process is analyzed, the face recognition authentication in the last link is associated with the vehicle-mounted identification and the parking space information in the first two links, and the recognition speed can be optimized through associated additional information.
Referring to fig. 2, fig. 2 is a schematic view of a door access system. The system comprises an access control management client for managing access control equipment and the access control equipment distributed everywhere. The access control management client can be server equipment or computer equipment, and is connected with the access control equipment through a network. The compared feature set can be stored in the access control management client side and can also be stored in the access control equipment.
Example one
The parking space information and the vehicle-mounted identification are used as the mobile information related to the face to be recognized, the real-time moving track condition of the face to be recognized can be reflected, in view of the situation, the parking space information and the vehicle-mounted identification can be bound in advance by the face features in the compared feature set, that is, the corresponding relation between the face features in the compared feature set and the vehicle-mounted identification and the parking space information is established. As shown in the following table, the table is a corresponding relationship between pre-entered human face features and additional information, and in this embodiment, the additional information includes vehicle-mounted identification and parking space information. The attachment information may be stored as attribute information of the compared face features.
| Compared human face characteristics | Parking space information | Vehicle-mounted mark |
| Employee A | xxx | yyy |
| … | … | … |
| … | … | … |
It should be understood that, no matter the parking space information or the vehicle-mounted identification, the same parking space information and the same vehicle-mounted identification may correspond to the compared face features of a plurality of employees, for example, for a commuting bus, the same parking space and/or the same vehicle-mounted identification corresponds to the compared face features of a plurality of employees; conversely, the same employee may also correspond to a plurality of pieces of parking space information and/or a plurality of vehicle-mounted identifiers, for example, the compared face features of employee a correspond to the vehicle-mounted identifier of the private car and the vehicle-mounted identifier of the commuter car. The vehicle-mounted identification includes license plate information and/or ETC (electronic toll collection) information.
Referring to fig. 3, fig. 3 is a schematic flow chart illustrating a process for increasing the face recognition speed according to this embodiment. The method comprises the steps of (1) carrying out,
in the step, one mode is that when the parking space information is input by the entrance guard management client, the parking space information is synchronized to a first entrance guard device near the parking space, and after the first entrance guard device receives the parking space information, compared face features of persons related to the parking space information are screened out from the compared feature set according to the parking space information and added to a first subset;
in another mode, at an access control management client, according to the parking space information near the first access control device, compared face features of people related to the parking space information are screened out from the compared feature set, added to the first subset, and the data of the first subset are synchronized to the first access control device.
As shown in fig. 4, fig. 4 shows a schematic diagram of forming the first subset.
In the step, one mode is that after the employee enters the campus through the vehicle-mounted identification, the identified vehicle-mounted identification is synchronized to the first entrance guard device; after receiving the vehicle-mounted identification, the first access control equipment extracts the compared face features of the corresponding staff of the vehicle-mounted identification from the first subset and adds the face features to the second subset.
The other mode is that after the employee enters the campus through the vehicle-mounted identification, the identified vehicle-mounted identification is synchronized to the access control management client, the access control management client extracts the compared face features of the employee corresponding to the vehicle-mounted identification from the first subset according to the detected vehicle-mounted identification, adds the face features to the second subset, and synchronizes the data of the second subset to the first access control device.
As shown in fig. 5, fig. 5 shows a schematic diagram of forming the second subset.
In this step, the first subset can screen out the compared features in the garage range from the compared feature set, and the second subset can screen out the compared features of the personnel entering the garden, so that the number of the compared features in the second subset is further reduced.
And 303, matching the face image to be recognized with each set according to the sequence that the priority of the second subset is greater than that of the first subset and the priority of the first subset is greater than that of the compared feature set. Namely:
matching the collected current face image to be recognized with the compared face features in the second subset, if the matching is successful, deleting the matched compared face features in the second subset, and ending the recognition,
otherwise, matching the acquired current face image to be recognized with the compared face features in the first subset, if the matching is successful, deleting the matched compared face features in the first subset, ending the recognition, if the non-matching is successful, matching the acquired current face image to be recognized with the other compared face features except the first subset in the compared feature set, if the matching is successful, ending the recognition, and if the non-matching is successful, outputting authentication failure.
As can be seen from the above matching process, since the number of the compared face features in the second subset is less than or equal to the number of the compared face features in the first subset, and the number of the compared face features in the first subset is much less than the number of the compared face features in the compared feature set, even if the number of the compared face features in the compared feature set is greatly increased, the number of the compared face features in the second subset and the first subset is influenced to a limited extent, or even possibly not, so that the number of the compared face features in the second subset and the first subset is kept small; because the compared face features in the second subset and the first subset are screened out based on the additional information of the face image to be recognized, each subset has a high matching hit rate, the face recognition speed is greatly improved, and when the number of the compared face features in the compared feature set is greatly increased, the face recognition performance is not influenced, the recognition speed is always maintained at a high level, and the user experience is improved. In addition, the compared face features in the first subset and the second subset are dynamically generated according to the additional information, and the additional information has certain real-time performance, so that the compared face features in the subsets have real-time performance, and the matched compared face features in the subsets can be deleted after the matching is successful, so that the number of the compared face features maintained by the subsets is always maintained at a lower level, the occupied storage space is small, and the maintenance is convenient.
It should be understood that, in practical applications, the additional information may be any combination of associated information associated with biological information, and the compared feature set may be filtered through the design of the additional information according to the needs of the application scenario, so as to obtain a plurality of subsets, and the matching priority between the subsets is set.
Example two
In view of the fact that the parking space is not fixed in practical application, in this embodiment, the first access control device near the parking space is determined through the parking space information, and the compared face features are screened out from the compared feature set through the vehicle-mounted identifier and serve as the face features in the first subset.
Referring to fig. 6, fig. 6 is a schematic flow chart illustrating the second embodiment of the present invention for increasing the face recognition speed. The method comprises the steps of (1) carrying out,
preferably, more than one access control device can be determined according to the parking space information by combining the distribution situation of the access control devices.
In this step, one mode is that the detected parking space information is synchronized to the first access control device, and the other mode is that the detected parking space information is uploaded to an access control client, and the access control client determines the first access control device near the parking space according to the parking space information.
The parking space information may be detected by an external device/system separate from the access control device/system, including but not limited to a parking space detection device/system, a video analysis device/system, etc.
in the step, one mode is that after the employee enters the campus through the vehicle-mounted identification, the identified vehicle-mounted identification is synchronized to the first entrance guard device; after receiving the vehicle-mounted identification, the first access control equipment extracts the compared face features of the corresponding staff of the vehicle-mounted identification from the compared feature set and adds the face features to the first subset.
The other mode is that after the employee enters the campus through the vehicle-mounted identification, the identified vehicle-mounted identification is synchronized to the access control management client, the access control management client extracts the compared face features of the employee corresponding to the vehicle-mounted identification from the compared feature set according to the detected vehicle-mounted identification, adds the face features to the first subset, and sends the first subset data to the first access control device.
if the matching is successful, deleting the matched compared face features in the first subset, and finishing the recognition,
if the matching is not successful, 601, if the matching is successful, ending the identification, and if the matching is not successful, outputting authentication failure.
In the second embodiment, the entrance guard equipment is determined through the detected parking space information, so that the method for improving the face recognition speed can be adopted even if the parking space is not fixed, and in view of the fact that the number of the compared face features in the first subset is far smaller than the number of the compared face features in the compared feature set, the face recognition performance cannot be influenced even if the number of the compared face features in the compared feature set is greatly increased, and the recognition speed is always maintained at a high level. And generating the compared face features in the first subset according to the recognized vehicle-mounted identification, so that the first subset has real-time performance.
Although the first and second embodiments described above use the parking space and the vehicle-mounted identification as the accessory information, it should be understood that, as a variation of the implementation, only the fixed vehicle-mounted identification or the fixed parking space information may be used. And positioning the current position of the vehicle through the recognized vehicle-mounted identification or parking space information, determining a first nearby access control device according to the position information of the vehicle, and screening the compared face features of the persons related to the parking space information from the compared feature set at the side of the first access control device to serve as the compared face features in the first subset.
EXAMPLE III
In view of the fact that the additional information associated with the facial image to be recognized in practical application may not be limited to the parking space and the vehicle-mounted identification, but may also be other associated information, for example, payment information generated by consumption behaviors in a garden, access information for a mobile terminal to access a specific web page, access information for scanning a specific two-dimensional code, and the like.
In this embodiment, the facial features in the compared feature set are pre-bound to the identification information of the mobile terminal, that is, a corresponding relationship between the facial features in the compared feature set and the identification information of the mobile terminal is established. As shown in the following table, the table is a correspondence between pre-entered face features and additional information, and in this embodiment, the additional information includes mobile terminal identification information. The attachment information may be stored as attribute information of the compared face features.
| Compared human face characteristics | Identification information of mobile terminal |
| Employee A | xxx |
| … | … |
| … | … |
It should be understood that the same employee may have identification information for multiple mobile terminals. The identification information of the mobile terminal may be a SIM card number.
Referring to fig. 7, fig. 7 is a schematic flow chart illustrating a third embodiment of the present invention for increasing the face recognition speed. The method comprises the steps of (1) carrying out,
the specific information can be determined according to actual needs, for example, specific payment information, access information for scanning a specified two-dimensional code in case of epidemic situation, and the like. As an example, the specific payment information may be payment information related to a self-service vending terminal in a campus, or payment information at a canteen, a supermarket, or the like in the campus, or payment information when a vehicle enters a garage, or the like.
In this step, at least one access control device can be determined in combination with the actual need. As an example, the position of the self-service vending terminal corresponding to the payment information may be located according to the payment information, and the first access control device closest to the self-service vending terminal is determined according to the position.
In this step, one way is to synchronize the identification information of the mobile terminal to the first access control device; and after receiving the identification information, the first access control equipment extracts the compared face features of the staff corresponding to the identification information of the mobile terminal from the compared feature set and adds the extracted face features to the first subset.
The other mode is that the identification information of the mobile terminal is synchronized to the access control management client, the access control management client extracts the compared face features of the staff corresponding to the identification information of the mobile terminal from the compared feature set according to the identification information of the mobile terminal, adds the face features to the first subset, and sends the first subset data to the first access control device.
if the matching is successful, deleting the matched compared face features in the first subset, and finishing the recognition,
if the matching is not successful, matching the face image to be recognized with the compared face features except the first subset in the compared feature set, if the matching is successful, finishing the recognition, and if the matching is not successful, outputting authentication failure.
As a variation of the third embodiment, step 701 may further include, when capturing specific information from the mobile terminal, triggering the positioning of the mobile terminal, and determining the access control device according to the positioning result. As an example, the specific payment information may be payment information associated with a self-service terminal in a campus, or payment information at a campus canteen, supermarket, etc. indicating that the employee is currently within the campus when the payment information identifying entry into the campus is captured, thereby triggering the location of the mobile terminal.
Referring to fig. 8, fig. 8 is a schematic view of an identification device according to an embodiment of the present application. The identification device comprises a device for identifying the device,
a characteristic acquisition module for acquiring the characteristics of the current biological information to be identified,
the compared characteristic management module is used for screening each subset from a compared characteristic set containing all compared characteristics according to real-time additional information associated with the biological characteristic information to be identified;
the matching module is used for matching the biological features to be identified with the compared features in at least one subset, and if the matching is not successful, the biological features to be identified are matched with the compared features in the next matching priority subset; if the matching is successful, the compared feature management module is notified to delete the successfully matched compared features in the subset.
Preferably, the matching module is further configured to match the biometric characteristic to be recognized with the compared features in the current matching priority subset according to the matching priority order of each subset.
Referring to fig. 9, fig. 9 is another schematic view of the identification device of the present application. The identification device comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to realize the method for improving the biological information identification speed.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, and the computer program implements the steps described in the embodiment when being executed by a processor.
For the device/network side device/storage medium embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the relevant points, refer to the partial description of the method embodiment.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for increasing a speed of recognizing biological information, the method comprising: on the side of the identification device for identifying biological information,
acquiring the characteristics of the current biological information to be identified,
matching the biometric characteristic to be identified with the compared characteristics of at least one subset,
wherein,
the subset is obtained by screening a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the compared features in the compared feature set correspond to the additional information associated with the biological feature information.
2. The method of claim 1, wherein matching the biometric characteristic to be identified with the compared characteristics of at least a subset comprises,
matching the biological characteristics to be identified with the compared characteristics in the current matching priority subsets according to the matching priority order of the subsets,
if the matching is not successful, matching the biological characteristics to be identified with the compared characteristics in the next matching priority subset; the matching priority order of each subset is from high to low;
if the matching is successful, deleting the compared features successfully matched in the subset;
the matching the biometric characteristic to be identified with the compared characteristic in the next matching priority subset further comprises:
and when the matching of the biological features to be identified and the compared features in all the subsets is unsuccessful, matching the biological features to be identified and the compared features in the compared feature set except the compared features in all the subsets, and outputting a prompt of failure in matching if the matching is unsuccessful.
3. The method of claim 2, wherein the subset is filtered from a set of compared features including all compared features based on real-time additional information associated with the biometric information to be identified, comprising:
the identification device receives the real-time additional information captured from the external device/system, and the compared features corresponding to the real-time additional information are screened from the compared feature set according to the real-time additional information and added to the corresponding subset.
4. The method of claim 2, wherein the subset is filtered from a set of compared features including all compared features based on real-time additional information associated with the biometric information to be identified, comprising:
the identification equipment receives all subsets sent by a management client of a system where the identification equipment is located, wherein the management client screens compared features corresponding to real-time additional information from a compared feature set according to the received real-time additional information captured by external equipment/system, the compared features are added to the corresponding subsets to obtain the subsets, and the matching priority order of the subsets is set.
5. The method of claim 1, wherein the additional information is related to real-time movement information of the biometric feature to be recognized, the movement information includes at least one of a vehicle-mounted identification, parking space information, and a mobile terminal identification, and the recognition device is determined according to the additional information;
the compared features in the compared feature set correspond to at least one of vehicle-mounted identification, parking space information and mobile terminal identification.
6. The method according to claim 5, characterized in that when the movement information comprises parking space information and/or a vehicle-mounted identification, the identification device is the identification device which is determined according to the parking space information and/or the vehicle-mounted identification and is closest to the parking space; the compared features in the compared feature set correspond to parking space information and/or vehicle-mounted identification;
the subsets are obtained by screening from a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the method comprises the following steps:
when the mobile information comprises parking space information and a vehicle-mounted mark and the parking space information is fixed, screening out compared characteristics corresponding to the parking space information from the compared characteristic set according to the parking space information, and adding the compared characteristics into a first subset; when the current vehicle-mounted identification captured by an external system is received, according to the vehicle-mounted identification, the compared features corresponding to the vehicle-mounted identification are screened out from the first subset and added to the second subset; wherein the matching priority of the second subset is higher than the matching priority of the first subset;
or
When the mobile information comprises the parking space information and the vehicle-mounted identification and the parking space information changes, screening compared characteristics corresponding to the vehicle-mounted identification from the compared characteristic set according to the vehicle-mounted identification, and adding the compared characteristics to a first subset;
or
When the mobile information comprises the vehicle-mounted identification or the fixed and unchangeable parking space information, the compared features screened out from the compared feature set are added to the first subset according to the mobile information.
7. The method according to claim 5, characterized in that when the movement information comprises a mobile terminal identification, the identification device is an identification device determined according to mobile terminal generated specific information and/or mobile terminal positioning result, wherein the mobile terminal positioning is triggered by capturing the mobile terminal generated specific information;
the compared features in the compared feature set correspond to mobile terminal identifications;
the subsets are obtained by screening from a compared feature set containing all compared features according to real-time additional information associated with the biological feature information to be identified, and the method comprises the following steps:
when receiving a mobile terminal identifier captured by an external device/system, adding the compared features screened from the compared feature set to a first subset according to the mobile terminal identifier, wherein the mobile terminal identifier is determined by the external device/system according to specific information generated by the mobile terminal.
8. An identification device comprising a memory storing a computer program and a processor configured to execute the computer program to implement the method of increasing the speed of identification of biological information according to any one of claims 1 to 7.
9. The identification device of claim 8, wherein the identification device is an access device.
10. An identification system, characterized in that it comprises a computer device for managing identification devices, and at least one identification device according to claim 8.
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