CN110197108A - Auth method, device, computer equipment and storage medium - Google Patents

Auth method, device, computer equipment and storage medium Download PDF

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CN110197108A
CN110197108A CN201810939229.XA CN201810939229A CN110197108A CN 110197108 A CN110197108 A CN 110197108A CN 201810939229 A CN201810939229 A CN 201810939229A CN 110197108 A CN110197108 A CN 110197108A
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image
verified
facial
mood
facial expression
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朱文和
张国辉
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition

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Abstract

This application discloses auth method, device, computer equipment and storage mediums, can effectively improve the accuracy in identification verification process, further improve safety.The application method part includes: the first facial image for obtaining object to be verified;Identifying object, which is treated, according to the first facial image carries out recognition of face verifying;If object to be verified is verified by recognition of face, show that Emotion identification verifies interface;Show that the first instruction information, the first instruction information are used to indicate object to be verified and make the facial expression to match with the mood with reference to corresponding to facial expression image to object to be verified on Emotion identification verifying interface;Obtain the second facial image that object to be verified is made according to the first instruction information;Determine whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image;If matching, it is determined that object to be verified passes through authentication.

Description

Auth method, device, computer equipment and storage medium
Technical field
This application involves authentication field more particularly to a kind of auth method, device, computer equipment and storages Medium.
Background technique
Currently, the safety of the crypticity of data, information is more and more important, especially account is logged in, information repairs being related to Change, when on-line payment, generally requires to carry out authentication to user, to promote safety.
It is increasingly mature with face recognition technology, face recognition technology have become when authentication common technology it Auth method based on face recognition technology includes: the image that terminal acquisition includes user face, detects collected people Whether face matches with the face in default face database;If matching, it is determined that pass through to the user's checking.In the mistake for realizing the application Cheng Zhong there is problems in that when criminal usurps the photo at family, and then using photo come when doing authentication, identity is tested Card still can pass through, and it is lower that this allows for accuracy, safety in authentication.
Summary of the invention
Based on this, it is necessary to which in view of the above technical problems, providing one kind can effectively improve in identification verification process Accuracy, further improve auth method, device, computer equipment and the storage medium of safety.
A kind of auth method, comprising:
Obtain the first facial image of object to be verified;
Identifying object, which is treated, according to the first facial image carries out recognition of face verifying;
If object to be verified is verified by recognition of face, show that Emotion identification verifies interface;
Show that the first instruction information, the first instruction information are used to indicate to object to be verified on Emotion identification verifying interface Object to be verified makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Obtain the second facial image that object to be verified is made according to the first instruction information;
Determine whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image;
If it is determined that the corresponding mood of the second facial image matches with the mood with reference to corresponding to facial expression image, it is determined that Identifying object passes through authentication.
A kind of authentication means, comprising:
First obtains module, for obtaining the first facial image of object to be verified;
Recognition of face authentication module, for according to first acquisition module obtain the first facial image treat identifying object into Row recognition of face verifying;
Display module, if for the recognition of face verifying that object to be verified is carried out by recognition of face authentication module, Show that Emotion identification verifies interface;
Display module, for showing the first instruction information to object to be verified on Emotion identification verifying interface, first refers to Show that information is used to indicate object to be verified and makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Second obtains module, indicates what information was made according to first that display module is shown for obtaining object to be verified Second facial image;
First determining module, for determine the second acquisition module obtain the corresponding mood of the second facial image whether with ginseng Mood corresponding to facial expression image is examined to match;
Second determining module, if determining that the second facial image that the second acquisition module obtains is corresponding for the first determining module Mood match with reference to mood corresponding to facial expression image, it is determined that object to be verified passes through authentication.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing The computer program run on device, the processor realize the step of above-mentioned auth method when executing the computer program Suddenly.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter The step of calculation machine program realizes above-mentioned auth method when being executed by processor.
The scheme that above-mentioned auth method, device, computer equipment and storage medium are realized carries out face knowledge before this It does not verify, then the mood based on object to be verified carries out Emotion identification verifying, compared with traditional technology, this programme is known in addition to face It does not verify, has also merged Emotion identification verifying again, when criminal usurps the photo at family, and then tested using photo to do identity When card, although authentication can pass through, mood verifying can not be really verified, and be effectively improved in identification verification process Accuracy further improves safety.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below by institute in the description to the embodiment of the present application Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the application Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings Obtain other attached drawings.
Fig. 1 is a kind of one application environment schematic diagram of auth method of the application;
Fig. 2 is a kind of one embodiment flow diagram of auth method of the application;
Fig. 3 is a kind of one application scenarios schematic diagram of auth method of the application;
Fig. 4 is a kind of one example structure schematic diagram of authentication means of the application;
Fig. 5 is a kind of another example structure schematic diagram of authentication means of the application;
Fig. 6 is a kind of another example structure schematic diagram of authentication means of the application;
Fig. 7 is a schematic diagram of computer equipment in one embodiment of the application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen Please in embodiment, those of ordinary skill in the art's every other implementation obtained under the premise of no offer creative work Example, shall fall in the protection scope of this application.
This application provides a kind of auth method, can be applicable in the application environment such as Fig. 1, comprising: to be verified Object and terminal device for carrying out authentication, wherein the terminal device is to have Image Acquisition ability and information exhibition Show the terminal device of ability.The terminal device includes but is not limited to mobile phone, tablet computer, laptop, PDA etc., can also To be some access control equipments etc., specifically without limitation.The terminal device includes for obtaining object facial image to be verified Image acquiring device, such as common camera etc..Authentication process itself in this programme mainly includes that both sides is authenticated Journey, first aspect are recognition of face verification process, and second aspect is Emotion identification verification process: it is described to be verified right to obtain before this The first facial image of elephant;Identifying object, which is treated, according to the first facial image carries out recognition of face verifying;If object to be verified is logical Recognition of face verifying is crossed, then shows that Emotion identification verifies interface;The is shown to object to be verified on Emotion identification verifying interface One instruction information, the first instruction information is used to indicate object to be verified and makes to match with the mood with reference to corresponding to facial expression image Facial expression;Obtain the second facial image that object to be verified is made according to the first instruction information;Determine the second face figure As whether corresponding mood matches with mood corresponding to reference facial expression image;If it is determined that the corresponding mood of the second facial image Match with mood corresponding to reference facial expression image, it is determined that object to be verified effectively improves knowledge by authentication Accuracy in other verification process further improves under safety mask body to the auth method in the application.It carries out Description:
In one embodiment, as shown in Fig. 2, providing a kind of auth method, the terminal in Fig. 1 is applied in this way It is illustrated, includes the following steps: for equipment
S10, the first facial image for obtaining object to be verified;
When treating identifying object and being verified, the first facial image of object to be verified was obtained before this, specifically, can lead to The first facial image that the devices such as image acquiring device, such as camera get object to be verified is crossed, specifically without limitation.
S20, identifying object progress recognition of face verifying is treated according to the first facial image;
In the first facial image for getting object to be verified, identifying object is treated according to the first facial image and carries out face Identification verifying.Wherein, it should be noted that specifically, when carrying out recognition of face verifying to the first facial image, base can be used In the face identification method of eigenface (PCA), the face identification method of neural network, elastic graph matching face identification method, Face identification method, face identification method of support vector machines (SVM) of line segment Hausdorff (LHD) distance etc., do not do specifically It limits.The main purpose of above-mentioned recognition of face verifying is for detecting whether first facial image is to store in presetting database The face of some personnel, specifically face recognition process is not unfolded to describe here.
Illustratively, in an application scenarios, terminal device is office's access control equipment, then stores in presetting database Have the facial image of office worker in office, by this programme can by the first facial image of object to be verified determine to Whether identifying object is the indoor personnel that handle official business.
Illustratively, in an application scenarios, terminal device is the intelligent terminals such as mobile phone, is stored in presetting database Personnel's image be the user for possessing the mobile phone, it is to be verified right to be determined here by the first facial image of object to be verified As if the user of the no mobile phone.
If S30, object to be verified are verified by recognition of face, show that Emotion identification verifies interface;
After verifying by recognition of face, it need to continue to treat the process that identifying object carries out mood verifying, specifically, at this In scheme, when by recognition of face verify after, show Emotion identification verify interface, the Emotion identification verify interface be one realize to The human-computer interaction interface that identifying object and terminal device interact.
S40, it verifies in Emotion identification to object to be verified displaying the first instruction information on interface, the first instruction information is used for Indicate that object to be verified makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Above-mentioned first instruction information is shown to object to be verified on Emotion identification verifying interface.It should be noted that The different moods that the different expression of facial expression image expresses, the facial expression image of object to be verified and the mood of object to be verified have Reciprocal correspondence relationship is the facial expression image being presented on above-mentioned Emotion identification verifying interface with reference to facial expression image, this refers to expression Image is the facial expression image of object to be verified.Illustratively, as shown in figure 3, Fig. 3 is an application in the application auth method Scene signal in above-mentioned application scenarios schematic diagram shown in Fig. 3, including reference facial expression image, is used to indicate user's input second First instruction information of facial image, the second facial image obtain region, and object to be verified can be obtained in second facial image It takes and inputs the second facial image on region, specifically, the openable built-in camera of terminal device, above-mentioned second facial image obtains Region is the coverage of the camera.It should be noted that above-mentioned Fig. 3 is an example herein, here without limitation, Specifically about reference facial expression image and Emotion identification verifying interface style and pattern here all without limitation, can basis Practical application scene and demand are configured, as long as enabling terminal device to show Emotion identification verifying interface and showing the One instruction information.
In the present solution, default have default list, the artificial of the default list has the people for passing through authentication qualification, Have the people of the default list in advance has N facial expression images, wherein N is greater than or equal to 1, illustratively, it is assumed that default name Singly there are personnel 1, personnel 2 and personnel 3, wherein personnel 1 have facial expression image a, and personnel 2 have facial expression image b, and personnel 3 have Facial expression image c.Illustrative again, default list has personnel 1, personnel 2 and personnel 3, wherein personnel 1 have facial expression image a and Facial expression image b, personnel 2 have facial expression image c, d and e, and personnel 3 have facial expression image e, f, g and h.Illustratively, it is assumed that default List has personnel 1, wherein personnel 1 have that facial expression image a is illustrative again, and default list has personnel 1, wherein personnel 1 There are facial expression image a and facial expression image b.It should be noted that above-mentioned example is merely illustrative herein, not to this programme It causes to limit, specifically without limitation.
S50, the second facial image that object to be verified is made according to the first instruction information is obtained;
In the present solution, show Emotion identification verify interface, due to Emotion identification verifying interface on be used to indicate to Identifying object makes the first instruction information of the facial expression to match with the mood with reference to corresponding to facial expression image, therefore, to Identifying object makes the second facial image of corresponding expression, terminal device under the instruction for obtaining above-mentioned first instruction information It is available to arrive second facial image.
S60, determine whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image;
S70, if it is determined that whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image, Then object to be verified passes through authentication.
Terminal device is available to arrive second facial image, and determine the corresponding mood of the second facial image whether with ginseng Mood corresponding to facial expression image is examined to match, however, it is determined that the corresponding mood of the second facial image whether with reference facial expression image institute Corresponding mood matches, it is determined that object to be verified passes through authentication.
Illustratively, if the mood with reference to corresponding to facial expression image is " happy ", mood corresponding to the second facial image Also " happy ", then it is assumed that determine whether the second facial image matches with mood corresponding to reference facial expression image.Illustratively, If the mood with reference to corresponding to facial expression image is " happy ", mood corresponding to the second facial image is also " anger ", then it is assumed that really Whether fixed second facial image mismatches with mood corresponding to reference facial expression image.Above-mentioned example is merely illustrative, not Application scheme is constituted and is limited.
By carrying out recognition of face verifying before this it can herein be seen that application scheme proposes a kind of auth method, The mood based on object to be verified carries out Emotion identification verifying again, and compared with traditional technology, this programme is verified in addition to recognition of face, Emotion identification verifying has also been merged again, when criminal usurps the photo at family, and then using photo come when doing authentication, body Although a part verifying can pass through, mood verifying can not be really verified, and effectively improve the accuracy in identification verification process, Further improve safety.
It in one embodiment, further include following before step S10, namely the first facial image of acquisition object to be verified Step:
S80, the triggering checking request for receiving object to be verified;
S90, show that interface is verified in recognition of face according to the triggering checking request of object to be verified.
Terminal device can first receive the triggering checking request of object to be verified when treating identifying object and being verified, Recognition of face verifying interface is shown after receiving the triggering checking request.In the triggering checking request for receiving object to be verified Afterwards, be equivalent to trigger terminal device start carry out authentication process.
It should be noted that in application scenes, such as the terminal devices such as mobile phone, terminal device show identity first Checking request interface, object to be verified does predetermined registration operation at the authentication request interface, such as touches or click some option To generate above-mentioned triggering checking request.In application scenes, such as the terminal devices such as access control equipment, terminal device is by taking the photograph As some fixed area of head captured in real-time, when identifying face, it is determined that object still to be tested occurs, then generates above-mentioned triggering Checking request.Wherein, above-mentioned application scenarios are merely illustrative herein, are not constituted and are limited to this programme.In some applications In scene, after receiving triggering checking request, terminal device also shows that interface is verified in recognition of face, which verifies boundary Face is one for realizing the human-computer interaction interface interacted with object to be verified, is grasped on recognition of face verifying interface Make to complete the typing process of the first facial image.Specifically, terminal device obtains the first of object to be verified by camera Facial image.In application scenes, terminal instruction issues voice instruction, indicates object to be verified taking the photograph towards terminal device As head, so that terminal device completes the acquisition movement of the first facial image of object to be verified.
In one embodiment, Emotion identification verifying showing interface has the facial expression image of N different moods, and N is greater than or equal to 2, it is wherein one in the facial expression image of N different moods with reference to facial expression image;
Before step S40, namely to object to be verified show first instruction information before, further includes:
S100, it is verified on interface in Emotion identification, shows that second indication information, second indication information are used to object to be verified Any one facial expression image is chosen from the facial expression image of N different moods in instruction object to be verified to be used as with reference to expression figure Picture;
S110, the reference expression image selection instruction that object to be verified is inputted according to second indication information is received;
That is, showing the facial expression image of N number of different moods on Emotion identification verifying interface, user can be according to second The instruction for indicating information is chosen any one facial expression image from the facial expression image of N different moods and is used as with reference to facial expression image, Specifically, the reference expression image selection instruction by input chooses any one table from the facial expression image of N different moods Feelings image, which is used as, refers to facial expression image.
S120, determine that instructing corresponding facial expression image to be used as with reference to expression image selection refers to facial expression image.
Illustratively, in application scenes, N 7, that is to say, that Emotion identification verifying showing interface has 7 differences The facial expression image of mood is wherein one in the facial expression image of 7 different moods with reference to facial expression image, wherein it is illustrative, Different moods is respectively happy, sad, frightened, angry, surprised, detest and calmness in above-mentioned 7.It should be noted that In some embodiments, above-mentioned N may be other numerical value, such as 5,6,8 etc., other than above-mentioned 7 kinds of moods, can also be other Mood, such as fear, specifically without limitation.
Through this embodiment, terminal device can show the facial expression image of N different moods for Object Selection to be verified, Object to be verified can therefrom choose one of reference facial expression image as mood verifying, on the one hand enhance entire verifying The flexibility of process, another verifying experience for increasing user, interactivity are stronger.
Other than the above-mentioned determining mode with reference to facial expression image, there can also be other modes, such as: in one embodiment, Before step S40, namely to object to be verified show first instruction information before, it is further comprising the steps of:
S130, selected from the facial expression image of N different moods at random wherein a facial expression image as the reference table Feelings image, wherein the N is greater than or equal to 2.
Illustratively, in application scenes, N 7, that is to say, that Emotion identification verifying showing interface has 7 differences The facial expression image of mood is wherein one in the facial expression image of 7 different moods with reference to facial expression image, wherein it is illustrative, Different moods is respectively happy, sad, frightened, angry, surprised, detest and calmness in above-mentioned 7.Terminal device is at random from upper It states and chooses a wherein conduct in the facial expression image of 7 kinds of different moods with reference to facial expression image.Specifically, random selection can be used to calculate Method randomly selects a wherein facial expression image, for example, the scheduling algorithm that sorts fastly immediately, specifically without limitation.
Through this embodiment, the reference table that terminal device can be verified from the facial expression image of N different moods as mood Feelings image, and do not have to choose by user, improve the diversity of scheme.
In one embodiment, in step S40, after showing the first instruction information to object to be verified, method further include:
S140, triggering preset timer;
That is, show Emotion identification verifying interface and show first instruction information after i.e. trigger this it is pre-designed when Device, preset timer start timing after being triggered, wherein illustrative, the timing range of the preset timer can be with 1 minute, 2 Minute, it is also possible to 20 seconds, 30 seconds, 50 seconds etc..It should be noted that it is above-mentioned about it is presetting when timing range herein only It is that here without limitation, such as can also be 10 for example, can specifically be configured according to practical application scene and demand Second, 15 seconds etc..
After in step S50, before step S60, namely obtains object to be verified and done according to the first instruction information After the second facial image out, determine the corresponding mood of the second facial image whether with mood corresponding to reference facial expression image It is further comprising the steps of before matching:
S150, timer time, determine the duration for obtaining the second facial image whether described since the preset timer In the timing range of preset timer;
Illustratively, it is assumed that the timing range of the preset timer 20 seconds, it is determined that obtain second facial image Whether duration is in the timing range of the preset timer, that is, refers to that whether at timing range 20 seconds to get this first Face image.
S160, if it is determined that the duration of the second facial image in the timing range of preset timer, then trigger determine second The step of whether facial image matches with mood corresponding to reference facial expression image.
Illustratively, it is assumed that the timing range of the preset timer 20 seconds, it is determined that obtain second facial image Whether duration is in the timing range of the preset timer, that is, refers to that whether at timing range 20 seconds to get this first Face image, however, it is determined that the duration of the second facial image in 20 seconds, trigger determine the corresponding mood of the second facial image whether with The step of mood with reference to corresponding to facial expression image matches.
In one embodiment, however, it is determined that at the time of obtaining the first facial image not in the timing range of preset timer, It then determines that the second facial image is invalid, and indicates that object to be verified inputs the second facial image as mood verifying again.Show Example property, it is assumed that the timing range of the preset timer 20 seconds, it is determined that obtain second facial image duration whether In the timing range of the preset timer, that is, refers to and whether at timing range 20 seconds got first facial image, if Determine the duration of the second facial image not in 20 seconds, that is to say, that have exceeded 20 seconds, then trigger determine the second facial image without Effect, and indicate that object to be verified inputs the second facial image as mood verifying again.
Through this embodiment, define that object to be verified needs to complete the second face figure in the timing length of preset timer In addition the input of picture can also have in this way, object to be verified can be promoted to complete the input service of the second facial image as early as possible as far as possible The less image acquiring device for obtaining the second facial image is imitated, such as camera is in image acquireing state, can reduce camera shooting The power consumption of head.
In some embodiments, if repeatedly instruction after the second facial image still crash, close entire authentication stream Journey.This way it is possible to avoid system is chronically at proofing state, loss can be effectively reduced.
In one embodiment, in step S40, determine the corresponding mood of the second facial image whether with reference facial expression image institute Corresponding mood matches, comprising:
S41, Emotion identification is carried out to the second facial image, with reference to facial expression image according to default Emotion identification model, with To the emotional characteristics of the second facial image, and with reference to the emotional characteristics of facial expression image;
S42, the emotional characteristics of the second facial image are compared with the emotional characteristics with reference to facial expression image, if they are the same, Then determine that the corresponding mood of the second facial image matches with the mood with reference to corresponding to facial expression image;
Wherein, presetting Emotion identification model is the identification model for going out the mood of face for identification, presets Emotion identification mould Type is mood mark to be carried out to the mood of face training image collection, then instruct to the face after mood marks by neural network Practice what image set was trained.Above-mentioned emotional characteristics are corresponding with the mood mark that facial expression image is marked.
In one embodiment, above-mentioned default Emotion identification model be used to be identified according to the second facial image of user this The mood of user corresponding to two facial images, illustratively, in application scenes, default Emotion identification model can be identified Mood include 7 kinds, be respectively it is happy, sad, frightened, angry, surprised, detest and tranquil.It should be noted that some In embodiment, the mood that default Emotion identification model can identify can also be other moods, such as other than including above-mentioned 7 kinds Fear etc. can specifically without limitation be determined by practical application scene and demand.
In some embodiments, above-mentioned default Emotion identification model is convolutional neural networks model, specifically uses residual error net Network ResNet81 is also possible to dense convolutional network DenseNet121, and specific this programme is without limitation.Wherein, the default mood The neural network parameter of identification model is arranged as shown in following table 1, wherein the level name of layer name expression neural network Claim, the output size (size) of output size expression neural network corresponding level, 0conv1 expression convolutional layer 1, conv3_x, Conv4_x, conv5_x, conv2_x, pool indicate that pond layer, fc1 and fc2 indicate that full articulamentum, resoult indicate nerve net Network output is as a result, stride indicates that the corresponding step-length of level, such as stride2 indicate that step-length is that 2, pad indicates that level is corresponding Filling, such as pad2 expression are filled with 2, neural network using Sigmoid function as activation primitive, in specific this programme The neural network parameter and hierarchical structure of the default other model of mood system are seen shown in the following table 1, are not repeated one by one here.
Table 1
Wherein, in one embodiment, great amount of images can be pre-processed and obtained referring to comprising face by great amount of images Target image, by target image carry out mood mark, specifically, in practical applications, manual or automatic mode pair can be used Target carries out mood mark, and mood label includes happy, sad, frightened, angry, surprised, detest and tranquil seven kinds of mood marks Label;The above-mentioned convolutional neural networks model of input is recycled to be trained to obtain the default Emotion identification model in this programme. It should be noted that being in embodiment some, mood label includes happy, sad, frightened, angry, surprised, detest and puts down Quiet and frightened eight kinds of mood labels, can also be other mood labels, specifically here without limitation certainly.
In one embodiment, it is carried out according to default Emotion identification model to second facial image, with reference to facial expression image Emotion identification, to obtain the mood label of second facial image as emotional characteristics, by the feelings of second facial image Thread feature is compared with the mood label with reference to facial expression image, if they are the same, it is determined that second facial image and institute The mood with reference to corresponding to facial expression image is stated to match;
In conclusion proposing a kind of auth method here, recognition of face verifying is carried out before this, then based on to be verified The mood of object carries out Emotion identification verifying, and compared with traditional technology, this programme is verified in addition to recognition of face, also merges again Emotion identification verifying, when criminal usurps the photo at family, and then using photo come when doing authentication, although authentication meeting Pass through, but mood verifying can not be really verified, effectively improves the accuracy in identification verification process, further improve Safety.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present application constitutes any limit It is fixed.
The above-mentioned auth method in the application is described, below to corresponding to the application auth method Authentication means, computer equipment and computer storage medium be described.
In one embodiment, a kind of authentication means are shown, which tests with identity in above-described embodiment Card method corresponds.As shown in figure 4, the authentication means 40 include the first acquisition module 401, recognition of face authentication module 402, display module 403, second obtains module 404, the first determining module 405 and the second determining module 406.Each functional module is detailed Carefully it is described as follows:
First obtains module 401, for obtaining the first facial image of object to be verified;
Recognition of face authentication module 402, the first facial image for being obtained according to the first acquisition module 401 treat verifying Object carries out recognition of face verifying;
Display module 403, if being tested for object to be verified by the recognition of face that recognition of face authentication module 402 is carried out Card then shows that Emotion identification verifies interface;For showing the first instruction letter to object to be verified on Emotion identification verifying interface Breath, the first instruction information are used to indicate object to be verified and make the facial table to match with the mood with reference to corresponding to facial expression image Feelings;
Second obtains module 404, the first instruction information institute shown for obtaining object to be verified according to display module 403 The second facial image made;
First determining module 405, the corresponding mood of the second facial image for determining that the second acquisition module 404 obtains are It is no to match with the mood with reference to corresponding to facial expression image;
Second determining module 406, if determining the second people that 405 second acquisition modules 404 obtain for the first determining module The corresponding mood of face image matches with the mood with reference to corresponding to facial expression image, it is determined that object to be verified is tested by identity Card.
In one embodiment, Emotion identification verifying showing interface has the facial expression image of N different moods, and N is greater than or equal to 2, it is wherein one in the facial expression image of N different moods with reference to facial expression image;
As shown in figure 5, display module 403 is also used to:
Before showing the first instruction information to object to be verified, on Emotion identification verifying interface, to object exhibition to be verified Show second indication information, second indication information, which is used to indicate object to be verified and chooses from the facial expression image of N different moods, appoints Facial expression image of anticipating, which is used as, refers to facial expression image;
Authentication means further include:
Receiving module 407, the second indication information input shown according to display module 403 for obtaining object to be verified It is instructed with reference to expression image selection;
Third determining module 408, for determining that receiving module 407 is received with reference to corresponding to the instruction of expression image selection Facial expression image, which is used as, refers to facial expression image.
In one embodiment, third determining module 408, before being used to show the first instruction information to object to be verified, with Machine selected from the facial expression image of N different moods wherein a facial expression image as referring to facial expression image, wherein N be greater than or Equal to 2.
In one embodiment, as shown in fig. 6, the authentication means 40 further include:
First trigger module 409, after showing the first instruction information to object to be verified for display module 403, triggering Preset timer;
Third determining module 408 is also used to obtain object to be verified in the second acquisition module 404 and shown according to display module First the second facial image for being made of instruction information after, the first determining module determines the corresponding mood of the second facial image Before whether matching with mood corresponding to reference facial expression image, determine whether presetting at the time of obtaining the second facial image In the timing range of timer,
Second trigger module 410 is being preset at the time of obtaining the second facial image if determining for third determining module 408 In the timing range of timer, then trigger determine the corresponding mood of the second facial image whether with corresponding to reference facial expression image The step of mood matches.
In one embodiment, if third determining module 408 determines at the time of obtaining the second facial image not when pre-designed In the timing range of device, it is determined that the second facial image is invalid;
The display module 403 indicates to be tested if determining that the second facial image is invalid for third determining module 408 Card object inputs the second facial image as mood verifying again.
In one embodiment, the first determining module 405 is specifically used for:
Emotion identification is carried out to the second facial image, with reference to facial expression image according to default Emotion identification model, to obtain the The emotional characteristics of two facial images, and the emotional characteristics with reference to facial expression image;
The emotional characteristics of second facial image are compared with the emotional characteristics with reference to facial expression image, if they are the same, then really The fixed corresponding mood of second facial image matches with the mood with reference to corresponding to facial expression image;
Wherein, presetting Emotion identification model is the identification model for going out the mood of face for identification, presets Emotion identification mould Type is mood mark to be carried out to the mood of face training image collection, then instruct to the face after mood marks by neural network Practice what image set was trained.
It can obtain, in the scheme that above-mentioned authentication means are realized, carry out recognition of face verifying before this, then based on to be verified The mood of object carries out Emotion identification verifying, and compared with traditional technology, this programme is verified in addition to recognition of face, also merges again Emotion identification verifying, when criminal usurps the photo at family, and then using photo come when doing authentication, although authentication meeting Pass through, but mood verifying can not be really verified, effectively improves the accuracy in identification verification process, further improve Safety.
Specific about authentication means limits the restriction that may refer to above for auth method, herein not It repeats again.Modules in above-mentioned authentication means can be realized fully or partially through software, hardware and combinations thereof.On Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be terminal device, inside Structure chart can be as shown in Figure 7.The computer equipment include by system bus connect processor, memory, network interface, Display screen and input unit.Wherein, the processor of the computer equipment is for providing calculating and control ability.The computer equipment Memory include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and calculating Machine program.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.It should The network interface of computer equipment is used to communicate with external equipment by network connection.Display screen is for showing this identity authentication The interface for needing to show involved in during method, including Emotion identification verifying interface etc., the function which is realized Including for the first facial image, the image input function of the second facial image, the computer program is executed by processor Shi Yishi A kind of existing auth method.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Obtain the first facial image of object to be verified;
Identifying object, which is treated, according to the first facial image carries out recognition of face verifying;
If object to be verified is verified by recognition of face, show that Emotion identification verifies interface;
Show that the first instruction information, the first instruction information are used to indicate to object to be verified on Emotion identification verifying interface Object to be verified makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Obtain the second facial image that object to be verified is made according to the first instruction information;
Determine whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image;
If it is determined that the corresponding mood of the second facial image matches with the mood with reference to corresponding to facial expression image, then Determine that object to be verified passes through authentication.
It should be noted that the processor of computer equipment can realize that the identity in the application is tested when executing computer program Card method specifically sees the description in preceding method embodiment, does not repeat one by one here.
It can obtain, above-mentioned computer equipment executes in the scheme realized when computer program, carries out recognition of face before this and tests Card, then the mood based on object to be verified carry out Emotion identification verifying, and compared with traditional technology, this programme is tested in addition to recognition of face Card, has also merged Emotion identification verifying again, when criminal usurps the photo at family, and then does authentication using photo When, although authentication can pass through, mood verifying can not be really verified, and effectively improve the standard in identification verification process True property, further improves safety.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated Machine program performs the steps of when being executed by processor
Obtain the first facial image of object to be verified;
Identifying object, which is treated, according to the first facial image carries out recognition of face verifying;
If object to be verified is verified by recognition of face, show that Emotion identification verifies interface;
Show that the first instruction information, the first instruction information are used to indicate to object to be verified on Emotion identification verifying interface Object to be verified makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Obtain the second facial image that object to be verified is made according to the first instruction information;
Determine whether the corresponding mood of the second facial image matches with mood corresponding to reference facial expression image;
If it is determined that the corresponding mood of the second facial image matches with the mood with reference to corresponding to facial expression image, it is determined that Identifying object passes through authentication.
It should be noted that the computer program in computer readable storage medium can realize this Shen when being executed by processor Please in auth method, specifically see the description in preceding method embodiment, do not repeat one by one here.
It can obtain, the computer program in above-mentioned computer readable storage medium is performed in realized scheme, before this Recognition of face verifying is carried out, then the mood based on object to be verified carries out Emotion identification verifying, compared with traditional technology, this programme In addition to recognition of face is verified, Emotion identification verifying has also been merged again, when criminal usurps the photo at family, and then uses photo Come when doing authentication, although authentication can pass through, mood verifying can not be really verified, effectively improves identification and test Accuracy during card, further improves safety.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing The all or part of function of description.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations;Although referring to aforementioned reality Example is applied the application is described in detail, those skilled in the art should understand that: it still can be to aforementioned each Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified Or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all Comprising within the scope of protection of this application.

Claims (10)

1. a kind of auth method characterized by comprising
Obtain the first facial image of object to be verified;
Recognition of face verifying is carried out to the object to be verified according to the first facial image;
If the object to be verified is verified by the recognition of face, show that Emotion identification verifies interface;
The first instruction information, the first instruction information are shown to the object to be verified on Emotion identification verifying interface It is used to indicate the object to be verified and makes the facial expression to match with the mood with reference to corresponding to facial expression image;
Obtain the second facial image that the object to be verified is made according to the first instruction information;
Determine whether the corresponding mood of second facial image matches with the mood with reference to corresponding to facial expression image;
If it is determined that the corresponding mood of second facial image matches with the mood with reference to corresponding to facial expression image, then really The fixed object to be verified passes through the authentication.
2. auth method as described in claim 1, which is characterized in that the Emotion identification verifying showing interface has N The facial expression image of different moods, the N are greater than or equal to 2, the expression figure for opening different moods for the N with reference to facial expression image Wherein one as in;
It is described show the first instruction information to the object to be verified before, the method also includes:
On Emotion identification verifying interface, second indication information, the second instruction letter are shown to the object to be verified Breath is used to indicate the object to be verified and chooses any one facial expression image conduct from the facial expression image of the N different moods It is described to refer to facial expression image;
The object to be verified is received to be instructed according to the reference expression image selection that the second indication information inputs;
Determine the facial expression image corresponding with reference to the instruction of expression image selection as described with reference to facial expression image.
3. auth method as described in claim 1, which is characterized in that described to show that first refers to the object to be verified Before showing information, the method also includes:
Selected from the facial expression image of N different moods at random wherein a facial expression image as described with reference to facial expression image, In, the N is greater than or equal to 2.
4. auth method as described in claim 1, which is characterized in that show the first instruction letter to the object to be verified After breath, the method also includes:
Trigger preset timer;
It is described obtain the second facial image that the object to be verified is made according to the first instruction information after, determine described the Before whether the corresponding mood of two facial images matches with the mood with reference to corresponding to facial expression image, the method is also wrapped It includes:
Since the preset timer timer time, determine the duration for obtaining second facial image whether described pre- If in the timing range of timer;
If it is determined that the duration for obtaining second facial image in the timing range of the preset timer, then trigger it is described really The step of whether corresponding mood of second facial image matches with the mood with reference to corresponding to facial expression image determined.
5. auth method as claimed in claim 4, which is characterized in that if it is determined that obtain second facial image when Length is not in the timing range of the preset timer, it is determined that second facial image is invalid, and indicates described to be verified Object inputs second facial image as mood verifying again.
6. auth method as described in claim 1, which is characterized in that determination second facial image is corresponding Whether mood matches with the mood with reference to corresponding to facial expression image, comprising:
Emotion identification is carried out to second facial image, with reference to facial expression image according to default Emotion identification model, to obtain State the emotional characteristics and the emotional characteristics with reference to facial expression image of the second facial image;
The emotional characteristics of second facial image are compared with the emotional characteristics with reference to facial expression image, if they are the same, Then determine that the corresponding mood of second facial image matches with the mood with reference to corresponding to facial expression image;
Wherein, the default Emotion identification model is the identification model for going out the mood of face for identification, and the default mood is known Other model is to carry out mood mark to the mood of face training image collection, then pass through neural network to after mood mark Face training image collection be trained.
7. a kind of authentication means characterized by comprising
First obtains module, for obtaining the first facial image of object to be verified;
Recognition of face authentication module, for obtaining first facial image of module acquisition according to described first to described to be tested It demonstrate,proves object and carries out recognition of face verifying;
Display module, if the recognition of face carried out for the object to be verified by the recognition of face authentication module Verifying then shows that Emotion identification verifies interface;
The display module, for showing the first instruction letter to the object to be verified on Emotion identification verifying interface Breath, the first instruction information is used to indicate the object to be verified and makes to match with the mood with reference to corresponding to facial expression image Facial expression;
Second obtains module, the first instruction information shown for obtaining the object to be verified according to the display module The second facial image made;
First determining module, for determine it is described second obtain module obtain the corresponding mood of second facial image whether Match with the mood with reference to corresponding to facial expression image;
Second determining module, if determining the described second second face for obtaining module acquisition for first determining module The corresponding mood of image matches with the mood with reference to corresponding to facial expression image, it is determined that the object to be verified passes through institute State authentication.
8. authentication means as claimed in claim 7, which is characterized in that the Emotion identification verifying showing interface has N The facial expression image of different moods, the N are greater than or equal to 2, the expression figure for opening different moods for the N with reference to facial expression image Wherein one as in;
The display module is also used to:
Before showing the first instruction information to the object to be verified, on Emotion identification verifying interface, to described to be tested It demonstrate,proves object and shows that second indication information, the second indication information are used to indicate the object to be verified and do not sympathize with from the N Any one facial expression image is chosen in the facial expression image of thread as described with reference to facial expression image;
The authentication means further include:
Receiving module is inputted for receiving the object to be verified according to the second indication information that the display module is shown Reference expression image selection instruction;
Third determining module, for determining the received table corresponding with reference to the instruction of expression image selection of the receiving module Feelings image refers to facial expression image as described.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to The step of 6 described in any item auth methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In realization is such as the step of auth method as claimed in any one of claims 1 to 6 when the computer program is executed by processor.
CN201810939229.XA 2018-08-17 2018-08-17 Auth method, device, computer equipment and storage medium Pending CN110197108A (en)

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