CN107170068B - Movable attendance checking method based on scene and image recognition - Google Patents
Movable attendance checking method based on scene and image recognition Download PDFInfo
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- CN107170068B CN107170068B CN201710350364.6A CN201710350364A CN107170068B CN 107170068 B CN107170068 B CN 107170068B CN 201710350364 A CN201710350364 A CN 201710350364A CN 107170068 B CN107170068 B CN 107170068B
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000033001 locomotion Effects 0.000 claims abstract description 10
- 238000012795 verification Methods 0.000 claims description 24
- 230000001815 facial effect Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000036544 posture Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
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- Processing Or Creating Images (AREA)
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Abstract
The present invention discloses a kind of movable attendance checking method based on scene and image recognition, and the method at least includes the following steps: (1) server receives the location information that mobile terminal issues；(2) server determines background image according to received location information；(3) a kind of movement figure is randomly generated in server；(4) determining background image and movement figure are sent to mobile terminal by server；(5) authentication image that server receives that mobile terminal provides is compared, and confirms attendance according to comparison result；The authentication image that the present invention is provided by user is identified in all directions, is accurately strictly carried out attendance to user, is prevented the cheating of movable attendance checking completely.
Description
Technical Field
The invention relates to a mobile attendance checking method based on scene and image recognition.
Background
The mobile attendance system is also called LBS attendance, is an attendance system based on a mobile communication network and the Internet, and consists of a wireless terminal and a network management platform to determine the position of a certain person at a certain time. The mobile attendance system changes the traditional checking method which only depends on a time axis as a reference means and is a new generation of attendance system. The manager can inquire and manage attendance by any computer or mobile phone capable of accessing the internet. It will gradually replace the traditional attendance system.
However, in the actual use process, the mobile phone can be delivered to other people for login operation, so that cheating of mobile attendance is caused.
Disclosure of Invention
Aiming at the problems, the invention provides a mobile attendance method based on scene and image recognition, which has a cheating function of stopping mobile attendance.
In order to achieve the above purpose, the invention provides a mobile attendance method based on scene and image recognition, which at least comprises the following steps:
(1) the server receives position information sent by the mobile terminal;
(2) the server determines a background image according to the received position information;
(3) the server randomly generates an action graph;
(4) the server sends the determined background image and the action graph to the mobile terminal;
(5) the server receives the verification images provided by the mobile terminal for comparison, and confirms attendance according to comparison results.
Preferably, step (1) is preceded by a step of verifying the identity of the user by a server.
Preferably, the verification image provided by the mobile terminal in the step (5) is:
simultaneously capturing an image of the specified background, the specified motion and the user's face within the same image; or,
a designated background image, a designated motion image, and a user face image are captured separately, and the separately captured images are merged into one image.
Preferably, the specific steps of step (5) include:
the server receives the verification image and separates the background, the action and the face in the verification image into three independent images;
performing feature matching on the separated background image and the background image determined in the step (2);
performing feature matching on the separated action image and the action pattern generated in the step (3);
the separated face image is matched with the reserved face image of the user in a feature mode;
when the coincidence degree of the background image and the action image in the verification image with the background image determined in the step (2) and the action image generated in the step (3) reaches more than 85 percent, and the coincidence degree of the face image in the verification image with the face image of the user reaches more than 90 percent, the server confirms that the attendance is valid, successfully confirms the attendance and records and stores the attendance;
otherwise, the server confirms that the attendance is invalid, and returns to the step (2) to check the attendance again.
Preferably, the specific steps of step (2) are as follows:
the server receives the position information as coordinate information, and searches a background image closest to the relevant coordinates in the database;
and if the server cannot search the background image closest to the relevant coordinate in the database, acquiring the image of the landmark building closest to the relevant coordinate through a third-party service provider.
Preferably, the specific steps of step (1) are as follows:
the server receives position information sent by the mobile terminal;
the server verifies whether the received position information is in a preset position area;
if the received position information is in the preset position area, the server carries out the next step operation;
and if the received position information is not in the preset position area, the server terminates the attendance checking operation.
The invention carries out all-around identification through the scene of the user, the prompt gesture and the facial image, accurately and strictly carries out attendance checking on the user, and completely eradicates the cheating action of mobile attendance checking.
Drawings
Fig. 1 is a mobile attendance work flow chart of the invention.
Detailed Description
The invention is further described with reference to the accompanying drawings.
Example 1
A mobile attendance method based on scene and image recognition at least comprises the following steps:
(1) the server receives position information sent by the mobile terminal;
(2) the server determines a background image according to the received position information;
(3) the server randomly generates an action graph;
(4) the server sends the determined background image and the action graph to the mobile terminal;
(5) the server receives the verification images provided by the mobile terminal for comparison, and confirms attendance according to comparison results.
The embodiment verifies through appointed background and action, makes the accuracy of attendance higher, prevents attendance cheating.
Example 2
The embodiment provides a mobile attendance method based on scene and image recognition, which is characterized in that: the method comprises at least the following steps:
(1) the server receives position information sent by the mobile terminal;
(2) the server determines a background image according to the received position information;
(3) the server randomly generates an action graph;
(4) the server sends the determined background image and the action graph to the mobile terminal;
(5) the server receives the verification images provided by the mobile terminal for comparison, and confirms attendance according to comparison results.
The step (1) is preceded by a step of verifying the user identity by a server.
The verification image provided by the mobile terminal in the step (5) is:
simultaneously capturing an image of the specified background, the specified motion and the user's face within the same image; or,
a designated background image, a designated motion image, and a user face image are captured separately, and the separately captured images are merged into one image.
The specific steps of the step (5) comprise:
the server receives the verification image and separates the background, the action and the face in the verification image into three independent images;
performing feature matching on the separated background image and the background image determined in the step (2);
performing feature matching on the separated action image and the action pattern generated in the step (3);
the separated face image is matched with the reserved face image of the user in a feature mode;
when the coincidence degree of the background image and the action image in the verification image with the background image determined in the step (2) and the action image generated in the step (3) reaches more than 85 percent, and the coincidence degree of the face image in the verification image with the face image of the user reaches more than 90 percent, the server confirms that the attendance is valid, successfully confirms the attendance and records and stores the attendance;
otherwise, the server confirms that the attendance is invalid, and returns to the step (2) to check the attendance again.
The specific steps of the step (2) are as follows:
the server receives the position information as coordinate information, and searches a background image closest to the relevant coordinates in the database;
and if the server cannot search the background image closest to the relevant coordinate in the database, acquiring the image of the landmark building closest to the relevant coordinate through a third-party service provider.
In the embodiment, a user logs in a mobile terminal, address position information is obtained through the mobile terminal, a server finds a background image in a specific position according to the position information, an action graph is randomly extracted and sent to the mobile terminal, the user needs to specify the background and the action to take facial photographing, the server receives the photographed pictures, the images of the background, the action and the face are separated and identified, the three graphs are compared respectively, the facial images are compared with the facial image of the user ID, after all three pictures are confirmed to be correct and effective, the server successfully confirms attendance and records, one-time attendance operation is completed, the accuracy of mobile attendance is improved, and cheating of mobile attendance is avoided.
Example 3
Based on example 1
The mobile terminal of the embodiment includes communication equipment such as a mobile phone and a computer, and the embodiment takes the mobile phone as an example;
the background image includes reference objects such as landmark buildings and people, and the landmark buildings are taken as an example in the embodiment; (ii) a
The motion image includes body motions such as gestures and postures, and the gestures are taken as an example in the embodiment;
a mobile attendance method based on scene and image recognition, the method comprising the steps of:
1. a mobile attendance checking method based on scene and image recognition is characterized in that: the method comprises at least the following steps:
(1) the server receives position information sent by the mobile phone;
the server verifies whether the received position information is in a preset position area;
if the received position information is in the preset position area, the server carries out the next step operation;
if the received position information is not in the preset position area, the server terminates the attendance checking operation;
(2) the server receives the position information as coordinate information, and searches for a landmark building image closest to the relevant coordinates in the database;
if the server cannot search the landmark building image closest to the relevant coordinate in the database, acquiring the landmark building image closest to the relevant coordinate through a third-party service provider;
(3) the server randomly generates a gesture graph;
(4) the server sends the determined landmark building image and the gesture graph to the mobile terminal;
(5) the server receives the verification image and separates the landmark building background, the gesture and the face in the verification image into three independent images;
performing feature matching on the separated background image and the landmark building image determined in the step (2);
performing feature matching on the separated action image and the gesture graph generated in the step (3);
the separated face image is matched with the reserved face image of the user in a feature mode;
when the coincidence degree of the landmark building image and the gesture image in the verification image with the landmark building image determined in the step (2) and the gesture image generated in the step (3) reaches more than 85%, and meanwhile, the coincidence degree of the facial image in the verification image with the facial image of the user reaches more than 90%, the server confirms that the attendance is effective, successfully confirms the attendance and records and stores the attendance;
otherwise, the server confirms that the attendance is invalid, and returns to the step (2) to check the attendance again.
The step (1) is preceded by a step of verifying the user identity by a server.
The verification image provided by the mobile terminal in the step (5) is:
simultaneously shooting the appointed landmark building background, the appointed gesture and the face of the user into an image in the same image; or,
a designated landmark image, a designated gesture image, and a user face image are photographed separately, and the separately photographed images are fused into one image.
In the embodiment, the user ID logs in the mobile phone, the mobile phone obtains address position information, the server finds the landmark building image in a specific position according to the position information, randomly extracts a gesture and sends the gesture to the mobile phone, the user needs to take a picture of the face with the landmark building as the background and the designated gesture, the server receives the shot picture, separates and identifies the landmark building background, the gesture and the face image, and compares the three images respectively, wherein the facial image is the face image of the user, and after all three images are confirmed to be correct and effective, the server successfully confirms attendance and records, one-time attendance operation is completed, the accuracy of mobile attendance is improved, and cheating of mobile attendance is avoided.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are also included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope defined by the claims.
Claims (5)
1. A mobile attendance checking method based on scene and image recognition is characterized in that: the method comprises at least the following steps:
(1) the server receives position information sent by the mobile terminal;
(2) the server determines a background image according to the received position information;
(3) the server randomly generates an action graph;
(4) the server sends the determined background image and the action graph to the mobile terminal;
(5) the server receives the verification image provided by the mobile terminal for comparison, and confirms attendance according to the comparison result; the verification image is as follows:
simultaneously capturing an image of the specified background, the specified motion and the user's face within the same image; or,
a designated background image, a designated motion image, and a user face image are captured separately, and the separately captured images are merged into one image.
2. The mobile attendance method based on scene and image recognition of claim 1, characterized in that: the step (1) is preceded by a step of verifying the user identity by a server.
3. The mobile attendance method based on scene and image recognition of claim 1, characterized in that: the specific steps of the step (5) comprise:
the server receives the verification image and separates the background, the action and the face in the verification image into three independent images;
performing feature matching on the separated background image and the background image determined in the step (2);
performing feature matching on the separated action image and the action pattern generated in the step (3);
the separated face image is matched with the reserved face image of the user in a feature mode;
when the coincidence degree of the background image and the action image in the verification image with the background image determined in the step (2) and the action image generated in the step (3) reaches more than 85 percent, and the coincidence degree of the face image in the verification image with the face image of the user reaches more than 90 percent, the server confirms that the attendance is valid, successfully confirms the attendance and records and stores the attendance;
otherwise, the server confirms that the attendance is invalid, and returns to the step (2) to check the attendance again.
4. The mobile attendance method based on scene and image recognition of claim 1, characterized in that: the specific steps of the step (2) are as follows:
the server receives the position information as coordinate information, and searches a background image closest to the relevant coordinates in the database;
and if the server cannot search the background image closest to the relevant coordinate in the database, acquiring the image of the landmark building closest to the relevant coordinate through a third-party service provider.
5. The mobile attendance method based on scene and image recognition of claim 2, characterized in that: the specific steps of the step (1) are as follows:
the server receives position information sent by the mobile terminal;
the server verifies whether the received position information is in a preset position area;
if the received position information is in the preset position area, the server carries out the next step operation;
and if the received position information is not in the preset position area, the server terminates the attendance checking operation.
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| CN201710350364.6A CN107170068B (en) | 2017-05-18 | 2017-05-18 | Movable attendance checking method based on scene and image recognition |
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| CN201710350364.6A CN107170068B (en) | 2017-05-18 | 2017-05-18 | Movable attendance checking method based on scene and image recognition |
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| CN107170068B true CN107170068B (en) | 2019-08-30 |
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| CN109584393A (en) * | 2017-09-28 | 2019-04-05 | 钉钉控股（开曼）有限公司 | Work attendance method, device and Time Attendance Device |
| CN107729847B (en) * | 2017-10-20 | 2020-08-04 | 阿里巴巴集团控股有限公司 | Certificate verification and identity verification method and device |
| CN110189087A (en) * | 2018-02-22 | 2019-08-30 | 阿里巴巴集团控股有限公司 | A kind of data processing method and calculate equipment |
| CN108288165A (en) * | 2018-03-28 | 2018-07-17 | 成都信达智胜科技有限公司 | A kind of high-precision confirming face method |
| CN108491806A (en) * | 2018-03-28 | 2018-09-04 | 成都信达智胜科技有限公司 | A kind of fast human face recognition |
| CN108960766A (en) * | 2018-06-13 | 2018-12-07 | 招银云创（深圳）信息技术有限公司 | Work attendance method, device, system, computer equipment and storage medium |
| CN109034599A (en) * | 2018-07-20 | 2018-12-18 | 四川知格科技有限公司 | A kind of anti-cheating attendance checking system based on movable attendance checking terminal |
| CN109035111A (en) * | 2018-07-28 | 2018-12-18 | 贵州华宁科技股份有限公司 | Graphical family condition management system |
| CN110020590A (en) * | 2019-01-31 | 2019-07-16 | 阿里巴巴集团控股有限公司 | The method and device that card is deposited in displaying is carried out to face information based on block chain |
| CN110570535B (en) * | 2019-07-30 | 2021-12-31 | 深圳市天彦通信股份有限公司 | Card punching management method and related device |
| CN110992500B (en) * | 2019-10-12 | 2023-04-25 | 平安科技（深圳）有限公司 | Attendance checking method and device, storage medium and server |
| CN111402443B (en) * | 2020-04-30 | 2022-05-17 | 宁波市交建工程监理咨询有限公司 | Supervision attendance method, client and storage medium thereof |
| CN111882692B (en) * | 2020-07-21 | 2023-04-18 | 苏州盖雅信息技术有限公司 | Intelligent mobile attendance checking method and device |
| CN115514893B (en) * | 2022-09-20 | 2023-10-27 | 北京有竹居网络技术有限公司 | Image uploading method, image uploading device, readable storage medium and electronic equipment |
| CN116665329A (en) * | 2023-05-22 | 2023-08-29 | 中华人民共和国公安部特勤局 | Attendance checking system card punching method applied in team management and attendance checking server |
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