CN104966078A - Student identity recognition system and method for on-line training curriculum - Google Patents
Student identity recognition system and method for on-line training curriculum Download PDFInfo
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- 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
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Abstract
The invention provides a student identity recognition system and method for an on-line training curriculum. The system is disposed in a user terminal, and comprises an image collection module which is used for collecting an image of a region pointed by a user terminal screen through an image collection device of the user terminal. The system also comprises a storage module which is used for storing a characteristic value of a user picture; and a recognition module which is connected with the image collection module and used for recognizing whether the collected image contains a human face image or not. If the collected image does not contain the human face image, an off-line judgment result is outputted to an external server; if the collected image contains the human face image, a characteristic value of the human face image is transmitted to a comparison module. The system also comprises the comparison module which is connected with the storage module and the recognition module, and is used for comparing the characteristic value of the human face image with the characteristic value, stored in the storage module, of the user picture. If the comparison results are not consistent, an off-line judgment result is outputted to the external server.
Description
Technical field
The present invention relates to Internet technical field, particularly relate to a kind of student's identification system and recognition methods of online training course.
Background technology
Network Course Platform is a kind of is medium with internet, provides course to student with the form of video.In order to ensure the on-line study time of student, Network Course Platform all wishes to make effective supervision to the learning time of student.Such as, avoid after student puts curriculum implementation video, in fact not browsing this video, but leaving the activity that other is engaged in by computer, or process other affairs on computers.In the prior art, a kind of effective way is irregular ejection one interaction window, requires that student performs a predetermined operation on this interaction window, such as, clicks confirmation, or input the character etc. of a certain regulation.But this can only ensure people's browsing video before computer, can not confirm must be this student oneself at browsing video, this student therefore cannot be avoided to allow household or friend assist the behavior of course.
Therefore, not only guarantee have people browsing curriculum video, but also to guarantee be this student oneself at browsing video, be problem demanding prompt solution in prior art.
Summary of the invention
Technical matters to be solved by this invention is, provides a kind of student's identification system and recognition methods of online training course, can not only identify whether people and browse curriculum video, but also can identify whether to be that this student oneself is at browsing video.
In order to solve the problem, the invention provides a kind of student's identification system of online training course, be arranged in user terminal, comprise: image capture module, for gathered by the image collecting device of user terminal user terminal screen towards the image in region; Memory module, for storing the eigenwert of user picture; Identification module, is connected with image capture module, for identifying whether the image collected includes facial image, if do not comprise facial image, the eigenwert of this facial image, to outside server, as comprised facial image, is then sent to comparison module by the judged result then exporting an off line; Comparison module, is connected with memory module and identification module, by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, as comparative result is inconsistent, then exports the judged result of an off line to outside server.
Optionally, in described identification module, if recognition result comprises multiple facial image, then a width facial image maximum for graphics area is sent to comparison module.
Optionally, described eigenwert is selected from the width value of leg-of-mutton each length of side value that nose and two mid points form, forehead, multiple in the distance value between the distance value between labial angle, two tail of the eyes, the distance value between inner eye corner and the homonymy tail of the eye.
Optionally, described comparison module by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, be that a certain item eigenwert that the eigenwert of the facial image collected is amplified in proportion is wherein identical with this eigenwert of the user picture stored in memory module further, more whether compare remaining eigenwert identical.
Optionally, described comparison module by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, be to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively further, whether the result after comparison operation is consistent.
Present invention also offers a kind of student's personal identification method of online training course, comprise the steps: to gather user terminal screen towards the image in region; Identifying whether the image collected includes facial image, if do not comprise facial image, then judges that user is in off-line state, as comprised facial image, then continuing to implement following step; Compared with the eigenwert of the user picture eigenwert of the facial image collected and prestored, as comparative result is inconsistent, then judge that user is in off-line state.
Optionally, whether the image that described identification collects includes in the step of facial image, if recognition result comprises multiple facial image, then a width facial image maximum for graphics area is used for the comparison of subsequent step.
Optionally, described eigenwert is selected from the width value of leg-of-mutton each length of side value that nose and two mid points form, forehead, multiple in the distance value between the distance value between labial angle, two tail of the eyes, the distance value between inner eye corner and the homonymy tail of the eye.
Optionally, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be that a certain item eigenwert that the eigenwert of the facial image collected is amplified in proportion is wherein identical with this eigenwert of the user picture prestored further, more whether compare remaining eigenwert identical.
Optionally, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively further, whether the result after comparison operation is consistent.
The invention has the advantages that, carry out comparison by the photo and default photo capturing user terminal user, reach and judge that whether learner is in the destination of study.And, no matter in this locality relatively and upload the mode of the mode of comparative result or the face picture eigenwert of upload digital form, all directly the image that user terminal captures is not sent to server, because this reducing network traffics and server load, and avoid the privacy leakage of user.
Accompanying drawing explanation
Shown in accompanying drawing 1 be the specific embodiment of the present invention the Organization Chart of system is provided.
It is the typical face schematic diagram that the specific embodiment of the present invention is illustrated used shown in accompanying drawing 2.
It is the step schematic diagram of method described in the specific embodiment of the present invention shown in accompanying drawing 3.
Embodiment
Below in conjunction with accompanying drawing, student's identification system of online training course provided by the invention and the embodiment of recognition methods are elaborated.
Shown in accompanying drawing 1 be this embodiment the Organization Chart of system is provided, comprise image capture module 11, memory module 12, identification module 13 and comparison module 14.
Described image capture module 11 for gathered by the image collecting device of user terminal user terminal screen towards the image in region.Described user terminal can be such as mobile phone, panel computer, notebook computer or desktop computer etc.For mobile phone and panel computer, described image collecting device can be such as front-facing camera, can be camera embedded above screen or external camera for notebook computer or desktop computer.Called user terminal screen towards the image in region, being user terminal user should the region at place.Student be in user terminal screen should be student towards region in the necessary condition of normal study.
Described memory module 12 is for storing the eigenwert of user picture.User picture is that student is available to course organizer in registration, and course organizer calculates the eigenwert of this user picture, and stores in the storage module 12.Memory module 12 can be arranged on user terminal this locality, also can be to be arranged in outside server, and is preferably arranged on local to reduce network load and server stress.Memory module 12 is arranged in local embodiment, and the data of memory module 12 can do the encryption process further.Described eigenwert refers to the physical dimension of several keys that can reflect people's face feature.Reference accompanying drawing 2 is typical face schematic diagram that this embodiment is illustrated used, pass through computer graphical processing, leg-of-mutton each length of side value L1, L2 and L3 that nose and two mid points are formed can be calculated, the width value L4 of forehead, distance value L5 between labial angle, distance value L6 between two tail of the eyes, and distance value L7, the L8 etc. between inner eye corner and the homonymy tail of the eye.Face characteristic value described in this embodiment namely can from each eigenwert above, and do not list various may eigenwert in choose.The number chosen is at least two, because camera cannot differentiate physical length, can only calculate ratio, therefore should choose at least two ability and judge by equal proportion conversion.
Described identification module 13 is connected with image capture module 11, for identifying whether the image collected includes facial image, if do not comprise facial image, then export the judged result of an off line to outside server, as comprised facial image, then the eigenwert of this facial image is sent to comparison module.In picture, identify that the algorithm of face is ripe algorithm of the prior art, repeat no more herein.If do not comprise face, then illustrate that student is not in region that should be residing, be then directly judged as user's off line, and result is reported to external server.But external server whether accordingly between judge that user is off line, or received by setting and judge that the threshold value of off line number of times judges, or adopt other means to be all fine.If recognition result comprises multiple facial image, then a width facial image maximum for graphics area is sent to comparison module, reason is it should is that student is near user terminal in learning process.
Comparison module 14 is connected with memory module 12 and identification module 13, by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module 12, as comparative result is inconsistent, then export the judged result of an off line to outside server.Comparison module 14 also can be arranged on user terminal this locality or server, is arranged on the pressure that user terminal this locality can reduce server.Because identification module 13 reports the eigenwert of facial image to comparison module 14 but not uploading pictures itself, therefore comparison module 14 is arranged on the object that server also can realize this embodiment.The working method of comparison module 14 at least can adopt at least one in the following two kinds mode.Such as, a kind of mode is that a certain item eigenwert eigenwert of the facial image collected be amplified in proportion is wherein identical with this eigenwert of the user picture stored in memory module, more whether compare remaining eigenwert identical.Such as the leg-of-mutton each length of side value L1, L2 and L3 that acquire nose and two mid points and form, and when the width value L4 of forehead, L4 in the eigenwert of facial image can be zoomed into identical with the L4 of user picture, and according to this ratio, L1, L2 and the L3 in the eigenwert of facial image is also amplified in proportion, then L1, L2 and the L3 in the eigenwert of facial image is compared separately with L1, L2 and the L3 in the eigenwert of user picture.Another kind of mode to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively, and whether the result after comparison operation is consistent.Such as the leg-of-mutton each length of side value L1, L2 and L3 that acquire nose and two mid points and form, and when the width value L4 of forehead, L1 ~ L4 in the eigenwert of facial image can be done division arithmetic according to array mode, obtain 6 results, and equally L1 ~ the L4 in user picture eigenwert is done division arithmetic, also obtain 6 results.Finally these 6 results are compared.The deviation that above method can be avoided the distance of student's range image harvester different and cause, and L1, L4 ~ L8 is transverse direction, can avoid the error that user brings due to side face.In order to avoid erroneous judgement, can relatively set a threshold value (within such as positive and negative 10%) to above-mentioned, as long as comparative result drops in this threshold value, all think that comparative result is consistent.
The advantage of above way is, carrys out comparison, reach and judge that whether learner is in the destination of study by the photo and default photo capturing user terminal user.And, no matter in this locality relatively and upload the mode of the mode of comparative result or the face picture eigenwert of upload digital form, all directly the image that user terminal captures is not sent to server, because this reducing network traffics and server load, and avoid the privacy leakage of user.
Be the step schematic diagram of method described in this embodiment shown in accompanying drawing 3, comprise: step S30, gather user terminal screen towards the image in region; Step S31, identifies whether the image collected includes facial image, if do not comprise facial image, then judges that user is in off-line state, as comprised facial image, then continues to implement following step; Step S32, compared with the eigenwert of the user picture eigenwert of the facial image collected and prestored, as comparative result is inconsistent, then judges that user is in off-line state.
In step S31, if recognition result comprises multiple facial image, then a width facial image maximum for graphics area is used for the comparison of subsequent step.
In step s 32, described eigenwert is selected from the width value of leg-of-mutton each length of side value that nose and two mid points form, forehead, multiple in the distance value between the distance value between labial angle, two tail of the eyes, the distance value between inner eye corner and the homonymy tail of the eye.
In step s 32, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be that a certain item eigenwert that the eigenwert of the facial image collected is amplified in proportion is wherein identical with this eigenwert of the user picture prestored further, more whether compare remaining eigenwert identical.
In step s 32, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively further, whether the result after comparison operation is consistent.
More explanations please refer to the content of system described in this embodiment and accompanying drawing 1 and accompanying drawing 2.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. student's identification system of online training course, is arranged in user terminal, it is characterized in that, comprising:
Image capture module, for gathered by the image collecting device of user terminal user terminal screen towards the image in region;
Memory module, for storing the eigenwert of user picture;
Identification module, is connected with image capture module, for identifying whether the image collected includes facial image, if do not comprise facial image, the eigenwert of this facial image, to outside server, as comprised facial image, is then sent to comparison module by the judged result then exporting an off line;
Comparison module, is connected with memory module and identification module, by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, as comparative result is inconsistent, then exports the judged result of an off line to outside server.
2. student's identification system of online training course according to claim 1, is characterized in that, in described identification module, if recognition result comprises multiple facial image, then a width facial image maximum for graphics area is sent to comparison module.
3. student's identification system of online training course according to claim 1, it is characterized in that, described eigenwert is selected from the width value of leg-of-mutton each length of side value that nose and two mid points form, forehead, multiple in the distance value between the distance value between labial angle, two tail of the eyes, the distance value between inner eye corner and the homonymy tail of the eye.
4. student's identification system of online training course according to claim 1, it is characterized in that, described comparison module by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, be that a certain item eigenwert that the eigenwert of the facial image collected is amplified in proportion is wherein identical with this eigenwert of the user picture stored in memory module further, more whether compare remaining eigenwert identical.
5. student's identification system of online training course according to claim 1, it is characterized in that, described comparison module by the eigenwert of the facial image collected compared with the eigenwert of the user picture stored in memory module, be to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively further, whether the result after comparison operation is consistent.
6. student's personal identification method of online training course, is characterized in that, comprise the steps:
Gather user terminal screen towards the image in region;
Identifying whether the image collected includes facial image, if do not comprise facial image, then judges that user is in off-line state, as comprised facial image, then continuing to implement following step;
Compared with the eigenwert of the user picture eigenwert of the facial image collected and prestored, as comparative result is inconsistent, then judge that user is in off-line state.
7. student's personal identification method of online training course according to claim 6, it is characterized in that, whether the image that described identification collects includes in the step of facial image, if recognition result comprises multiple facial image, then a width facial image maximum for graphics area is used for the comparison of subsequent step.
8. student's personal identification method of online training course according to claim 6, it is characterized in that, described eigenwert is selected from the width value of leg-of-mutton each length of side value that nose and two mid points form, forehead, multiple in the distance value between the distance value between labial angle, two tail of the eyes, the distance value between inner eye corner and the homonymy tail of the eye.
9. student's personal identification method of online training course according to claim 6, it is characterized in that, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be that a certain item eigenwert that the eigenwert of the facial image collected is amplified in proportion is wherein identical with this eigenwert of the user picture prestored further, more whether compare remaining eigenwert identical.
10. student's personal identification method of online training course according to claim 6, it is characterized in that, step compared with the eigenwert of the described user picture that the eigenwert of the facial image collected and is prestored, be to choose in facial image and user picture the mathematical operation that two same characteristic features values do same rule respectively further, whether the result after comparison operation is consistent.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108257057A (en) * | 2018-01-26 | 2018-07-06 | 河南工学院 | A kind of computer assisted instruction system and method |
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| US20120308090A1 (en) * | 2011-06-06 | 2012-12-06 | Kabushiki Kaisha Toshiba | Facial image search system and facial image search method |
| CN104143083A (en) * | 2014-07-11 | 2014-11-12 | 北京神州智联科技有限公司 | Face recognition system based on process management |
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Application publication date: 20151007 |