KR101977887B1 - Face recognition system and method of adapting to environment - Google Patents
Face recognition system and method of adapting to environment Download PDFInfo
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- KR101977887B1 KR101977887B1 KR1020150153205A KR20150153205A KR101977887B1 KR 101977887 B1 KR101977887 B1 KR 101977887B1 KR 1020150153205 A KR1020150153205 A KR 1020150153205A KR 20150153205 A KR20150153205 A KR 20150153205A KR 101977887 B1 KR101977887 B1 KR 101977887B1
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Abstract
More particularly, the present invention relates to an environmentally adaptive face recognition system and a method thereof, and more particularly, to a face recognition system in which authentication is likely to succeed according to a time when a user attempts authentication, The present invention relates to an environmentally adaptive face recognition system and a method thereof, in which a DB is automatically updated with facial images actually used for user authentication.
According to another aspect of the present invention, there is provided an authentication system, comprising: an authentication DB for classifying and storing a plurality of facial images in a plurality of time zones and storing information for updating facial images in each time period during which the user is authenticated; The face image stored in the authentication DB and the updated DB for storing the photographed image and the time taken to complete the authentication as the face image for updating and the authentication required time for updating the authentication DB, Since the DB management unit is provided for sorting the stored update face images in order of the required authentication time, the authentication DB is automatically updated to the face images that are actually used for the authentication of the user and can be expected to have a high authentication rate Therefore, the authentication rate and the face recognition speed in the face recognition process can be improved.
Description
More particularly, the present invention relates to an environmentally adaptive face recognition system and a method thereof, and more particularly, to a face recognition system in which authentication is likely to succeed according to a time when a user attempts authentication, The present invention relates to an environmentally adaptive face recognition system and a method thereof, in which a DB is automatically updated with facial images actually used for user authentication.
The conventional face recognition system has a problem in that the authentication rate is lowered due to the difference between the surrounding environment at the time of initial registration of a face image per user and the surrounding environment at the time of actual authentication.
For example, in the conventional face recognition system, a face image photographed a plurality of times at the same time is recorded in a memory to register a face image for each user, and when a face image for actual authentication is inputted, When the face image is photographed by the user and the face image is photographed at a time when the face image is actually photographed, the change in the surrounding environment due to the difference in the time zone can not be reflected, so that the authentication rate is low .
That is, various variables such as the brightness and darkness of the user's surroundings and the difference in brightness of the user's face may be generated according to the time when the face image for actual authentication is captured. As a result, the authentication of the user fails or the authentication processing time increases do.
In addition, in the conventional face recognition system, when a face image for actual authentication is inputted, the face recognition speed in the authentication process is lowered because the face image is compared with the face images stored in the memory without any prior priority.
SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide an environmentally adaptive face recognition system and its method capable of improving the authentication rate and the face recognition speed in the face recognition process.
It is another object of the present invention to provide an environmentally adaptive face recognition system and a method thereof that can be compared with a captured image from a face image having a high possibility of authentication at a time when a user attempts authentication.
The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.
According to another aspect of the present invention, there is provided a method for authenticating a face image, the method comprising: classifying a plurality of face images for face recognition into a plurality of time zones and storing information for updating the pre- DB; The time taken to complete the authentication and the photographed image photographed from the camera and matched with the face image of the authentication DB to complete the authentication is stored as the update face image for updating the authentication DB and the authentication required time Update DB; And a DB manager for replacing the face images stored in the authentication DB with update face images stored in the update DB and arranging them in the order of quickest authentication time when the preset condition is satisfied or the update cycle comes The present invention provides an environmentally adaptable face recognition system including the face recognition system.
In a preferred embodiment, authentication is performed by comparing the photographed image photographed by the camera with a plurality of face images stored in the authentication DB, wherein authentication is first performed by comparing the face images of the time zone corresponding to the input time of the photographed image And an authenticating unit for authenticating the authenticated user.
In a preferred embodiment, when the authentication of the face image in the time zone corresponding to the input time of the photographed image fails, the authentication unit compares the captured image with the photographed image in the order of the face images having the fastest authentication time.
In a preferred embodiment, a plurality of time zones, which are the same as the authentication DB, are set in the update DB, and the update face image and the authentication time are stored for each time zone in which the user has been authenticated.
In a preferred embodiment, the DB management unit compares the authentication required time of the update face image previously stored in the update DB with the authentication required time of the photographed image in which the user authentication is completed, This updates to a faster video.
In a preferred embodiment, the authentication DB stores the authentication minimum time, the authentication maximum time, the authentication average time, the number of authentication attempts, the number of authentication successes, and the authentication success rate for each time the user is authenticated, And stores it as information.
In a preferred embodiment, the DB management unit determines that the update condition of the authentication DB is satisfied when the average value of the authentication average times in all the time zones stored in the authentication DB is greater than a predetermined update reference time.
In a preferred embodiment, the DB management unit determines that the updating condition of the authentication DB is satisfied when the authentication success rate of all the time zones stored in the authentication DB is smaller than the predetermined success rate of update criteria.
In a preferred embodiment of the present invention, the DB management unit determines a time when the user's authentication is completed the fastest in each time zone as an authentication minimum time, a time when the user's authentication is delayed and completed late as an authentication maximum time, an average value of the authentication minimum time and the authentication maximum time And stores the average time in the authentication DB.
In a preferred embodiment, the DB management unit determines the number of authentication attempts, the number of times authentication of the face image stored in the corresponding time zone is successful, the authentication success count, the authentication attempt count, And stores the ratio of success times in the authentication DB as the authentication success rate.
According to another aspect of the present invention, there is provided a method for a face recognition system, comprising: (1) constructing an authentication DB in which a plurality of face images for face recognition are classified and stored in a plurality of time zones; (2) the face recognition system performs authentication by comparing the photographed image photographed by the camera with face images stored in the authentication DB; (3) The face recognition system stores information for updating the previously stored face images in the authentication DB for each time period during which the user is authenticated, matches the face image of the authentication DB photographed from the camera, Constructing an update DB storing the completed photographed image and the time taken to complete the authentication as the update face image and the authentication required time; (4) If the predetermined condition is satisfied or the update cycle comes, the face recognition system replaces the face images stored in the authentication DB with the update face images stored in the update DB, ; And (5) the face recognition system compares the photographed image photographed by the camera with a plurality of face images stored in the authentication DB to perform authentication, and firstly compares the face images of the time zone corresponding to the input time of the photographed image And performing authentication based on the face recognition result.
In a preferred embodiment of the present invention, in the step (5), the face recognition system first compares face images in a time zone corresponding to the input time of the captured image to attempt authentication, The authentication is performed by comparing the captured images with the facial images in the order of the fastest authentication time.
In a preferred embodiment, in the step (3), the face recognition system sets a plurality of time zones, which are the same as the authentication DB, in the update DB, and updates face images for authentication and authentication The time required is stored.
In a preferred embodiment of the present invention, in the step (3), the face recognition system may further include an authentication step of acquiring an authentication time of the update face image previously stored in the update DB, The time required for authentication is compared with the time required for authentication, and the image is updated to a faster image.
In a preferred embodiment, in the step (3), the face recognition system calculates the minimum authentication time, the authentication maximum time, the authentication average time, the authentication attempt count, the authentication success count, and the authentication success rate, And stores it in the authentication DB as information for updating the previously stored face images.
In a preferred embodiment, in the step (4), when the average value of the authentication average times in all the time periods stored in the authentication DB is larger than a predetermined update reference time, It is determined that the update condition is satisfied.
In a preferred embodiment, in the step (4), when the authentication success rate of all the time zones stored in the authentication DB is smaller than the predetermined success rate of update criteria, the face recognition system may update the authentication DB It is judged to be satisfied.
In a preferred embodiment of the present invention, in the step (3), the face recognition system calculates a time at which the user's authentication is completed most quickly for each time period as an authentication minimum time, a time at which a user's authentication is delayed and completed late as an authentication maximum time, And stores the average value of the time and the maximum authentication time in the authentication DB as the authentication average time.
In a preferred embodiment, in the step (3), the face recognition system determines the total number of times the user authentication is attempted in the corresponding time zone for each time zone, the number of authentication attempts, and the number of times authentication of the face image stored in the corresponding time zone is successful The ratio between the number of success times, the number of authentication attempts, and the number of successes of authentication is stored in the authentication DB as the authentication success rate.
According to the present invention, the present invention provides an authentication DB for classifying and storing a plurality of facial images in a plurality of time zones and storing information for updating the facial images for each time period during which the user is authenticated, An updating DB for storing the photographed image for which the authentication is completed and the time taken to complete the authentication as the updating face image for updating the authentication DB and the authentication required time and the face images stored in the authentication DB Since the DB management unit for replacing the face images for updating with the face images for updating stored in the update DB and arranging the authentication face images in the order of the fastest authentication time is provided, the authentication DB can be used as a face image It is possible to improve the authentication rate and the face recognition speed in the face recognition process.
In particular, when the user attempts to authenticate after the authentication DB is replaced with the photographed image actually used for authentication, the brightness of the user's surrounding environment at the time of the authentication attempt and the brightness Face image is first used for face recognition, so that user authentication can be completed more quickly and accurately.
In addition, even if the authentication of the face image in the time when the user tries to authenticate fails, the present invention is used for facial recognition from a face image having a high authentication time, which can expect a high authentication rate, .
1 is a view for explaining an environmentally adaptive face recognition system according to an embodiment of the present invention;
2 is a view for explaining an update DB of the environmentally adaptive face recognition system;
3 is a view for explaining an authentication DB of an environmentally adaptive face recognition system;
4 is a diagram for explaining an implementation example of an authentication DB.
5 is a view for explaining an environmentally adaptive face recognition method according to an embodiment of the present invention.
6 is a diagram for explaining an authentication process after replacing the authentication DB;
It should be understood that the specific details of the invention are set forth in the following description to provide a more thorough understanding of the present invention and that the present invention may be readily practiced without these specific details, It will be clear to those who have knowledge.
Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to FIGS. 1 to 6, and a description will be given centering on the parts necessary for understanding the operation and operation according to the present invention.
FIG. 1 is a view for explaining an environmentally adaptive face recognition system according to an embodiment of the present invention. FIG. 2 is a view for explaining an update DB of the environmentally adaptive face recognition system, FIG. 4 is a diagram for explaining an authentication DB of the face recognition system. FIG.
1 to 4, an environmentally adaptive face recognition system according to an embodiment of the present invention includes an
The authentication DB 110 is a database in which the face images for user authentication and the information for updating the face images are classified and stored according to predetermined time zones. The update face images for updating may be provided as a database in which the face images are sorted and classified by time zone.
Here, the
The
The
Particularly, the
Hereinafter, the detailed configuration of the environmentally adaptive face recognition system according to an embodiment of the present invention will be described in the order of the
First, as shown in FIG. 2, a plurality of time zones are set in the
Here, the plurality of time zones set in the
The time required for authentication stored in the
For this purpose, the
Also, when the predetermined condition is satisfied or the update cycle comes, the
That is, since the update face images stored in the
Referring to FIG. 3, facial images for user's face recognition and information for updating facial images are classified into a plurality of time zones and stored in the
However, the
That is, a plurality of time zones set in the
In addition, the
First, the authentication minimum time is stored as the time when the authentication of the user is completed fastest by the
Also, the number of authentication attempts is stored as the total number of times user authentication is attempted for each time slot, the number of authentication successes is stored as the number of times authentication is completed for each time slot, and the authentication success rate is stored as a ratio between the authentication attempt count and the authentication success count . Meanwhile, the number of authentication attempts, the number of authentication successes, and the authentication success rate may be integrally calculated and stored for the authentication attempts and the success times for all the time zones.
For example, the
In addition, the information for updating the facial images stored in the
That is, if the average value of the authentication average times in all the time zones stored in the
Meanwhile, if the authentication average time in the specific time zone is greater than the update reference time defined in advance, or if the authentication success rate in the specific time zone is smaller than the predetermined update rule success rate, May be replaced with the update face image classified and stored in a specific time zone in the
For example, in FIG. 3, the authentication success rate in the "a" time zone is stored at 84%, which is relatively low compared to the authentication success rate in the other time zones. At this time, assuming that the previously defined update criterion success rate is 90%, the
In addition, the
The
In addition, the
In addition, the
FIG. 3 exemplarily shows information for updating the face images and the face images of the user A, but the
Referring to FIG. 4, in the
Accordingly, the authentication unit 10 can use the
For example, the
That is, when the authentication of the user is requested in the " a " time zone or the captured image of the user who intends to authenticate is input, the
When the authentication of the face image in the time zone corresponding to the input time of the photographed image fails, the
In addition, the
Accordingly, the environmentally adaptive face recognition system according to an embodiment of the present invention stores the photographed image photographed at the time when the actual authentication is attempted in the
Also, even if the authentication of the facial image at the time when the user tries to authenticate fails, the
FIG. 5 is a view for explaining an environmentally adaptive face recognition method according to an embodiment of the present invention, and FIG. 6 is a view for explaining an authentication process after replacing the authentication DB.
5 and 6, an environmentally adaptive face recognition method performed in the environmentally adaptive face recognition system according to an embodiment of the present invention will be described.
However, since the functions performed in the environmentally adaptive face recognition method shown in Figs. 5 and 6 are all performed in the environmentally adaptive face recognition system described with reference to Figs. 1 to 4, All the functions described with reference to FIG. 4 are performed in the environmentally adaptive face recognition method according to the preferred embodiment of the present invention, and all the functions described with reference to FIGS. 5 and 6 are performed according to the environmental adaptation Type face recognition system.
First, an authentication DB storing a plurality of face images for each user is constructed (S110).
At this time, in the state where the authentication DB or DB management unit is set to the user image registration mode, the face images of the face images of the user's face are initially registered, the initially registered face images are classified and stored in a plurality of time zones, Or may not have a separate classification criterion.
Next, the authentication unit compares the photographed image photographed by the camera with the facial images stored in the authentication DB to perform authentication (S120).
At this time, the authentication unit compares the images themselves, compares the characteristic information of each image, or compares the image itself and characteristic information, and compares the captured image with the face images stored in the authentication DB to perform authentication do.
Next, when the authentication is successful, the DB management unit constructs an update DB storing the image for update for updating the authentication DB (S130).
At this time, the DB management unit sets a plurality of time zones in the update DB, and stores the photographed image, which has been authenticated each time the user's authentication is completed, as the update face image in the time zone corresponding to the authentication time. That is, a plurality of update face images are classified in the predetermined time zone and stored in the update DB.
Preferably, the DB management unit compares the authentication required time of the photographed image with the authentication required time of the update face image in the same time zone already stored in the update DB every time the user authentication is completed, . Here, the authentication required time means the time taken for the update image or the photographed image to complete the authentication.
In addition, the DB management unit stores information for updating the authentication DB together with the face image for update in the authentication DB for each time zone. For example, the DB management unit updates at least one of the authentication minimum time, the authentication maximum time, the authentication average time, the authentication attempt count, the authentication success count, and the authentication success rate in the authentication DB in the time zone in which the authentication is performed.
At this time, the DB management unit stores the time when the user's authentication is completed fastest as the authentication minimum time, stores the time when the user's authentication is delayed and completed late as the authentication maximum time, calculates the average value of the authentication minimum time and the authentication maximum time The average authentication time is stored.
Also, the DB management unit increases the number of authentication attempts in the time zone in which the user authentication is attempted by +1 and stores the increased number of authentication attempts by +1. If the authentication succeeds in the face image in the corresponding time zone, The ratio between the number of times of authentication and the number of authentication successes is calculated and stored as the authentication success rate.
Meanwhile, when the authentication is performed in a specific time zone but the authentication is not performed with the face image of the corresponding time zone but the authentication is performed with the face image of another time zone, the DB management unit only increases the number of authentication attempts in the time zone in which the user authentication is attempted, The number of successes may be left unchanged. In this case, the authentication success rate in a specific time period is reduced.
Next, the face images of the authentication DB are replaced by the DB management unit (S140).
At this time, the DB management unit replaces the face image of the authentication DB with the update face images corresponding to the respective time zones of the update DB, when the predetermined condition is satisfied or the update cycle comes (S141) And a step of aligning the replaced face images in the order of the fastest authentication time (S142).
To this end, when the average value of the authentication average times in all the time zones stored in the authentication DB is larger than the update reference time defined in advance, or when the authentication success rate is smaller than the predefined update criterion success rate, It can be determined that the update period of the DB has arrived. On the other hand, an arbitrary update period may be set by the user.
Also, in the updating process of the authentication DB, the DB manager may replace the face images having the authentication success rate lower than the update reference success rate with the face image for update, or the authentication average time is shorter than the update reference time The large face images are replaced with the update face images.
The DB management unit compares the authentication time required for the facial image stored in the authentication DB with the authentication time required for the update face image in the corresponding time zone, It may not be replaced with the update face image.
When the face images of the authentication DB are replaced with the face images for updating, the authentication minimum time, the authentication maximum time, the authentication average time, the authentication attempt count, the authentication success count and the authentication success rate stored in the authentication DB are reset do. Similarly, the face images for update of the update DB can also be reset.
Next, the authentication unit compares the photographed image photographed by the camera with face images stored in the authentication DB to perform authentication (S150).
At this time, the authentication unit compares the face image of the time zone corresponding to the input time of the photographed image with the photographed image to perform authentication (S151). If there is no matching image (S152) The authentication is performed by comparing the captured image with the images in step S153.
In addition, even when the facial image and the photographed image are compared in order of the required authentication time, if there is no matching image (S154), the authentication result is output as failure of the authentication failure (S155).
In addition, if there is an identical image in steps 152 and 154, the authentication unit outputs an authentication result indicating that the authentication is successful (S156). In addition, a follow-up process such as identity verification, commute management, door opening and the like can be performed according to the authentication result of the authentication unit.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the invention.
110: DB for authentication
120: DB for updating
130: DB manager
140:
Claims (19)
The time taken to complete the authentication and the photographed image photographed from the camera and matched with the face image of the authentication DB to complete the authentication is stored as the update face image for updating the authentication DB and the authentication required time Update DB; And
And a DB management unit for replacing face images stored in the authentication DB with update face images stored in the update DB and arranging them in the order of the fastest authentication time when the predetermined condition is satisfied or the update cycle comes and,
The update DB includes:
A plurality of time zones, which are the same as the authentication DB, are set, the update face image and the authentication time are stored for each time zone in which the user authentication is completed,
The DB management unit,
The authentication time required for the update face image stored in the update DB is compared with the authentication time required for the captured image for which the user authentication is completed,
The authentication DB includes:
The authentication maximum time, the authentication average time, the authentication attempt count, the authentication success count, and the authentication success rate are stored as information for updating the pre-stored facial images,
The DB management unit,
If the average value of the authentication average times in all the time zones stored in the authentication DB is larger than the previously defined update reference time or the authentication success rate in all the time zones is smaller than the predefined update criteria success rate, The face images in the time zone are replaced with the update face images stored in the update DB,
If the authentication average time of the specific time zone stored in the authentication DB is greater than the update reference time or the authentication success rate of the specific time zone is smaller than the update criterion success rate, And the face image is replaced with an updated face image classified and stored in a specific time zone.
An authentication unit for performing authentication by comparing an image photographed by a camera with a plurality of face images stored in the authentication DB and comparing the face images of the time zone corresponding to the input time of the photographed image first to perform authentication Wherein the environment-aware face recognition system comprises:
Wherein when the authentication of the face image in the time zone corresponding to the input time of the photographed image fails, the authentication unit performs authentication by comparing the photographed image with the photographed image in the order of the face image having the fastest authentication time, system.
The DB management unit stores the authentication time of the user in each time zone as the authentication minimum time, the authentication completion time of the user, the authentication maximum time, the authentication minimum time, and the authentication maximum time as the authentication average time. DB in the face recognition system.
The DB management unit calculates a ratio of the number of authentication attempts, the number of times authentication of the face image stored in the corresponding time zone is successful to the number of authentication success times, the ratio of the number of authentication attempts to the number of authentication success times, And stores it in the authentication DB at a success rate.
(2) the face recognition system performs authentication by comparing the photographed image photographed by the camera with face images stored in the authentication DB;
(3) The face recognition system stores information for updating the previously stored face images in the authentication DB for each time period during which the user is authenticated, matches the face image of the authentication DB photographed from the camera, Constructing an update DB storing the completed photographed image and the time taken to complete the authentication as the update face image and the authentication required time;
(4) If the predetermined condition is satisfied or the update cycle comes, the face recognition system replaces the face images stored in the authentication DB with the update face images stored in the update DB, ; And
(5) The face recognition system compares the photographed image photographed by the camera with a plurality of facial images stored in the authentication DB to perform authentication, and first compares facial images in a time zone corresponding to the input time of the photographed image And performing authentication,
In the step (3), the face recognition system,
A plurality of time zones, which are the same as the authentication DB, are set in the update DB to store the update face image and the authentication required time for each time zone in which the user is authenticated,
In the step (3), the face recognition system,
The authentication time required for the update face image stored in the update DB is compared with the authentication time required for the captured image for which the user authentication is completed,
In the step (3), the face recognition system,
Storing the authentication minimum time, the authentication maximum time, the authentication average time, the authentication attempt count, the authentication success count, and the authentication success rate in the authentication DB as the information for updating the pre-stored face images,
In the step (4), the face recognition system includes:
If the average value of the authentication average times in all the time zones stored in the authentication DB is larger than the previously defined update reference time or the authentication success rate in all the time zones is smaller than the predefined update criteria success rate, The face images in the time zone are replaced with the update face images stored in the update DB,
If the authentication average time of the specific time zone stored in the authentication DB is greater than the update reference time or the authentication success rate of the specific time zone is smaller than the update criterion success rate, Wherein the face image is classified into a specific time zone and replaced with a stored face image for updating.
In the step (5), the face recognition system first compares face images in a time zone corresponding to the input time of the captured image to try authentication, and when authentication fails, And the authentication is performed in comparison with the captured image in the order of the quick face images.
In the step (3), the face recognition system determines the time at which the user's authentication is completed the fastest in each time zone as the authentication minimum time, the time when the user's authentication is delayed and completed late as the authentication maximum time, And stores the average value as the authentication average time in the authentication DB.
In the step (3), the face recognition system calculates the total number of times the user authentication is attempted in the corresponding time zone for each time period as the number of authentication attempts, the number of successful authentication of the face image stored in the corresponding time zone, And the authentication success rate is stored in the authentication DB as the authentication success rate.
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JP2010237756A (en) * | 2009-03-30 | 2010-10-21 | Fujifilm Corp | Method and device for authenticating face |
JP2012208610A (en) * | 2011-03-29 | 2012-10-25 | Secom Co Ltd | Face image authentication apparatus |
KR101297736B1 (en) * | 2013-05-07 | 2013-08-23 | 주식회사 파이브지티 | Face recognition method and system |
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JP2010237756A (en) * | 2009-03-30 | 2010-10-21 | Fujifilm Corp | Method and device for authenticating face |
JP2012208610A (en) * | 2011-03-29 | 2012-10-25 | Secom Co Ltd | Face image authentication apparatus |
KR101297736B1 (en) * | 2013-05-07 | 2013-08-23 | 주식회사 파이브지티 | Face recognition method and system |
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