CN102184391A - Distributed type face recognition method and system as well as face recognition terminal - Google Patents
Distributed type face recognition method and system as well as face recognition terminal Download PDFInfo
- Publication number
- CN102184391A CN102184391A CN2011101303690A CN201110130369A CN102184391A CN 102184391 A CN102184391 A CN 102184391A CN 2011101303690 A CN2011101303690 A CN 2011101303690A CN 201110130369 A CN201110130369 A CN 201110130369A CN 102184391 A CN102184391 A CN 102184391A
- Authority
- CN
- China
- Prior art keywords
- face
- terminal
- recognition
- identification
- identified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The invention discloses distributed type face recognition method and system as well as a face recognition terminal, belonging to the technical fields of biometrics recognition and network data transmission. The method comprises the following steps: arranging a first face recognition terminal and at least one second face recognition terminal connected with the first face recognition terminal by virtue of a network; using the first face recognition terminal to acquire a face image of a user to be recognized, and extract the features of the face to be recognized; using the first face recognition terminal to recognize the features of the face to be recognized, if the recognition is unsuccessful, sending a recognition request carrying the features of the face to be recognized to the second face recognition terminal for recognition, and returning the recognition result; and according to the received recognition result returned by the second face recognition terminal, prompting that the recognition is successful or failed by the first face recognition terminal. According to the invention, the user can carry out face recognition on any one networked face recognition terminal, thus providing great convenience for the user.
Description
Technical field
The present invention relates to living things feature recognition field and network data transmission field, particularly a kind of distributed face identification method of data transmission Network Based and system and recognition of face terminal.
Background technology
Along with the development of face recognition technology, more and more as the application of authentication with recognition of face.Face recognition technology is stolen being difficult for, higher, the noncontact of security, and extremely people's favor of advantage such as much cleaner, directly perceived, easy to use is used in fields such as work attendance, security protection.Recognition of face is in the application in work attendance field, and way commonly used is: for each people's face user registers many group face characteristic templates, be stored in the recognition of face equipment in advance; When carrying out recognition of face, the face characteristic template of storing in the user's to be identified of current collection face characteristic and the current recognition of face equipment is compared, obtain recognition result.But the memory capacity of recognition of face terminal is limited, causes registrable people's face user limited, and strengthens the cost that storage space can increase equipment undoubtedly.
At present, the company that headcount is many faces the problem of recognition of face terminal user finite capacity, common solution is that many recognition of face terminals are being installed, employee's packet allocation is carried out the registration of people's face to each one face identification terminal, require each employee on the recognition of face terminal of it having been carried out the registration of people's face, to carry out human face identification work-attendance checking, brought great inconvenience for the user of this equipment of use.
Summary of the invention
The object of the present invention is to provide a kind of distributed face identification method and system, under the prerequisite that does not increase recognition of face terminal storage capacity, the user is only needed an enterprising pedestrian's face registration of recognition of face terminal, just can discern, and implement conveniently at the enterprising pedestrian's face of in-company any recognition of face terminal.
The invention provides following scheme:
A kind of distributed face identification method comprises:
S100: the first face identification terminal and at least one the second recognition of face terminal that is connected by network with the first face identification terminal are set;
S101: the first face identification terminal is gathered face images of users to be identified and is therefrom extracted face characteristic to be identified;
S102: the first face identification terminal is discerned described face characteristic to be identified, if discern successfully, then prompting is discerned successfully, otherwise, send the identification request that has described face characteristic to be identified to described at least one second recognition of face terminal;
S103: the second recognition of face terminal receives and resolves the described identification request that has described face characteristic to be identified, discerns described face characteristic to be identified, sends identification according to the recognition result that obtains to the first face identification terminal and replys;
S104: the first face identification terminal receives identification that the second recognition of face terminal returns and replys the back and resolve, and points out according to the recognition result that parsing obtains.
Also comprise before the described step S101: the first face identification terminal and the second recognition of face terminal registration people face user, and storage face characteristic template, set up the face characteristic database.
Wherein, the first face identification terminal described in the step S102 is discerned described face characteristic to be identified and is comprised: the similarity score that calculates everyone the face feature templates in the face characteristic database that described face characteristic to be identified and this first face identification terminal store in advance respectively; If the maximal value of similarity score that obtains each one face feature templates correspondence is then discerned successfully greater than preset threshold value.
Wherein, the face characteristic to be identified that obtains of identification described in the step S103 comprises: the similarity score that calculates everyone the face feature templates in the face characteristic database that described face characteristic to be identified and this second recognition of face terminal store in advance respectively; If the maximal value of the similarity score of each one the face feature templates correspondence that obtains is then discerned successfully greater than preset threshold value.
Wherein, described identification is replied and is comprised identification acknowledgement command word and parameter, and described parameter determines that according to the second recognition of face terminal parses and the recognition result that identification obtains recognition result further comprises identification success and recognition failures.When recognition result is that described parameter also comprises at least: Customs Assigned Number, name, recognition time when discerning successfully.
Described step S104 further comprises: the first face identification terminal receives identification that the second recognition of face terminal returns and replys the back and resolve; If the recognition result that parsing obtains is for to discern successfully, then the first face identification terminal will be discerned successfully corresponding information and preserve, and prompting is discerned successfully; Otherwise, repeat to receive identification and reply and resolve, be recognition failures, the first face identification terminal prompting recognition failures until surpassing all recognition results that setting-up time or parsing obtain.
In order to realize method of the present invention, the invention allows for a kind of distributed face identification system, this system comprises: network connection device and at least two people's face identification terminals that are connected by this network connection device, wherein, described recognition of face terminal is used for:
Facial image to be identified also therefrom extracts face characteristic to be identified before gathering this terminal;
Discern described face characteristic to be identified, if discern successfully, preservation identification record and prompting are discerned successfully; Otherwise other the recognition of face terminal that described face characteristic to be identified is sent to networking is discerned, and receives the identification of returning and reply, and resolves the recognition result prompting identification success or the recognition failures that obtain according to parsing then;
And, according to the identification request that other people the face identification terminal that receives sends, therefrom extract face characteristic to be identified, and discern described face characteristic to be identified, and reply according to recognition result transmission identification.
Described recognition of face terminal also is used for registrant's face feature templates, storage face characteristic database, and described recognition of face terminal is the described face characteristic to be identified of identification in the face characteristic database of local terminal storage.
The recognition of face terminal of the proposition in the native system comprises: CPU (central processing unit) and the push-button unit that is connected with this CPU (central processing unit) respectively, shooting unit, display unit, storage unit, transmitting element and receiving element, wherein:
Described CPU (central processing unit) is used to move recognition of face instruction, extracts face characteristic from the facial image of taking unit photographs, and with storage unit in the identification of comparing of face characteristic template in the face characteristic database stored;
Described push-button unit is used to be provided with the local terminal IP address of recognition of face terminal and IP address, registered user's information of at least one other people face identification terminal of connecting by network, sets up the face characteristic database;
Described shooting unit comprises camera, is used to take face images of users;
Described display unit is used to show interface, the registered user interface that described face identification device is set and discerns successfully reach failure prompting interface;
Described storage unit, IP address, the identification record of at least one other people the face identification terminal that be used to store the IP address of the local terminal of face characteristic database, recognition of face terminal, connects by network;
Described transmitting element is used for sending identification request and identification and replys;
Described receiving element is used for receiving identification request and identification and replys.
According to specific embodiment provided by the invention, the present invention has following technique effect:
The embodiment of the invention sets in advance interconnected recognition of face terminal in the LAN (Local Area Network), when the user carries out recognition of face when success at the first face identification terminal, this user's face characteristic to be identified is sent to the second recognition of face terminal of networking, again this user is carried out recognition of face by the second recognition of face terminal, and recognition result is returned to the first face identification terminal.By this method, the recognition of face user needn't can provide great convenience to the user in the enterprising pedestrian's face identification of any recognition of face terminal of networking in the enterprising pedestrian's face identification of certain recognition of face terminal of appointment.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention, will to do simply the accompanying drawing of required use among the embodiment below and introduce.Apparently, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the process flow diagram of the embodiment of the invention one distributed face identification method;
Fig. 2 is that the embodiment of the invention one distributed face identification method is set up network connection procedure synoptic diagram;
Fig. 3 is the embodiment of the invention one a distributed face identification method identification request form synoptic diagram;
Fig. 4 is that the form synoptic diagram is replied in the embodiment of the invention one distributed face identification method identification;
Fig. 5 is the distributed face identification system structural representation that the embodiment of the invention two provides;
Fig. 6 is the recognition of face terminal structure figure that the embodiment of the invention three provides.
Description of reference numerals:
S100, S101, S102, S103 and S104 are the step of method; 51 is people's face identification terminal, and 52 is network connection device; 61 to 67 is each module of people's face identification terminal.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described.Obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, the every other embodiment that those of ordinary skills obtained belongs to the scope of protection of the invention.
Embodiment one:
Referring to Fig. 1, the distributed face identification method that the embodiment of the invention provides may further comprise the steps:
S100: the first face identification terminal and at least one the second recognition of face terminal that is connected by network with the first face identification terminal are set;
At first, the first face identification terminal and at least one second recognition of face terminal are set in distributed network; Then, the initialization network connects, and sets up the network monitoring service.The first face identification terminal described in the embodiments of the invention is meant relative local terminal recognition of face terminal and far-end recognition of face terminal with the second recognition of face terminal, is not to be used to limit certain recognition of face terminal.By switch many recognition of face terminals are formed a wired or wireless LAN, be respectively every recognition of face terminal then the IP address is set, and the IP address of other people face identification terminal of networking is set on every recognition of face terminal respectively.Every recognition of face terminal both can have been served as the first face identification terminal, can serve as the second recognition of face terminal again.When certain the preterminal user of self recognition of face of recognition of face terminal recognition, it is the first face identification terminal; When discerning the preterminal user of far-end recognition of face who receives by network, it is the second recognition of face terminal.Because every recognition of face terminal all can send the identification request to other terminal, also all can reply the identification request of other-end.So, in every recognition of face terminal, have client and two parts of service end of network service.
Every recognition of face terminal had both been discerned the preterminal user of self recognition of face (as the first face identification terminal) in actual use, discern the preterminal user of far-end recognition of face (as the second recognition of face terminal) who receives by network again, therefore, the first face identification terminal and the second recognition of face terminal at first will be carried out the initial work of network service before carrying out network service.Described the first face identification terminal is a near-end recognition of face terminal, and the described second recognition of face terminal is the far-end recognition of face terminal that is different from the first face identification terminal.Following description of contents recognition of face terminal is set up the process of network service by socket.As shown in Figure 2, at first, create a socket by sockfd=socket (PF_INET, SOCK_STREAM, 0); Then, dispose this sockfd by bind (sockfd, my_addr, sizeof (struct sockaddr)).Wherein, my_addr is the pointer that a sensing includes the sockaddr type of information such as local terminal IP address and port numbers; Then, (sockfd backlog) enters listening state by listen.At last, (sockfd, their_addr len) prepare to receive the recognition of face request by accept.Wherein, their_addr is the pointer that a sensing includes the sockaddr type of information such as the IP address of far-end recognition of face terminal and port numbers, and len is the integer pointer that the length of sockaddr categorical variable is deposited in a sensing.
Before carrying out recognition of face, need be the first face identification terminal and the second recognition of face terminal registration people face user, and storage face characteristic template, set up the face characteristic database.The content of registration comprises: information such as Customs Assigned Number, name, face characteristic.Registration face characteristic (X
i, Y
j) purpose be template as recognition of face comparison, and be stored in the storer of this recognition of face terminal, as face characteristic database { (X
i, Y
j), 1≤i≤M wherein, 1≤j≤N, M and N are natural number, and N is the number of users in people's face identification database, and M is each user's a face characteristic template number.The value of M is big more, and the face characteristic of covering is abundant more, and the recognition of face accuracy rate is high more, but takies the big quantity space of recognition of face database, and the preferred L value is greater than 9.X wherein
iBe face characteristic, be vector matrix, Y
jBe User Identity,, be natural number as Customs Assigned Number.In the prior art, the user can only carry out recognition of face in the recognition of face terminal of the face characteristic template that stores oneself, so the user must register its face characteristic respectively at every recognition of face terminal.In the present embodiment, the user only needs the recognition of face terminal registration face characteristic template at any All-China Federation of Taiwan Compatriots net, and is stored in the face characteristic database of this recognition of face terminal and gets final product.Described face characteristic database storing is in the non-volatile memory medium of this recognition of face terminal, as the FLASH(flash memory).
S101: the first face identification terminal is gathered face images of users to be identified and is therefrom extracted face characteristic to be identified;
When the user need carry out recognition of face, the first face identification terminal was taken the face images of users to be identified before described the first face identification terminal, and therefrom extracts face characteristic.During concrete enforcement, after collecting face images of users to be identified, by the CPU (central processing unit) on the described the first face identification terminal facial image of gathering is carried out the human eye location, and described facial image is carried out normalized according to position of human eye, obtain setting the facial image of size, by the face characteristic X to be identified in the facial image after the CPU (central processing unit) extraction normalization, X is the vector matrix of multidimensional in this example again.Take the extraction of facial image and face characteristic and known by the technician in recognition of face field, do not repeat them here.
S102: the first face identification terminal is discerned described face characteristic to be identified, if discern successfully, then prompting is discerned successfully, otherwise, send the identification request that has described face characteristic to be identified to described at least one second recognition of face terminal;
The first face identification terminal is discerned described face characteristic to be identified and is comprised the similarity score that calculates everyone the face feature templates in the face characteristic database that described face characteristic to be identified and this first face identification terminal store in advance respectively, and judges whether each one similarity score of face feature templates correspondence of acquisition satisfies predetermined threshold value.Can represent similarity score by cosine distance or mahalanobis distance.During concrete enforcement, calculate the cosine distance or the mahalanobis distance of the face characteristic in everyone the face feature templates in described face characteristic to be identified and the face characteristic database respectively, obtain a plurality of corresponding similarity scores, and preserve the user ID Y of the face characteristic template of maximum similarity score ScoreMax and this similarity score correspondence
j, if, illustrating comparison greater than preset threshold value, this similarity score ScoreMax discerns successfully, the user ID of face characteristic to be identified is the user ID Y of described face characteristic template
j, i.e. Y=Y
j, the identification record that comprises Customs Assigned Number, name, recognition time, work attendance attribute etc. is discerned successfully and is preserved in described the first face identification terminal prompting; Otherwise, identification is unsuccessful, then tissue comprises the identification request data package of described face characteristic to be identified, the IP address of the described second recognition of face terminal that sets in advance according to described the first face identification terminal, described face characteristic to be identified is sent to the second recognition of face terminal, carry out recognition of face by the second recognition of face terminal.
In the present embodiment, described identification request comprises command word and parameter two parts.The form of described identification request comprises as shown in Figure 3: identification request command word, parameter, wherein parameter comprises at least: face characteristic to be identified, each parameter are at least with a space-separated.Described face characteristic to be identified is for through the face characteristic data of encryption, can adopt general or self-designed secret key encryption method is encrypted face characteristic to be identified.
The command word of recognition of face terminal definitions is generally character string, and identification request command word is defined as in this example: RegRequest, and the identification request is specific as follows:
RegRequest（face_data="p//2/SD+lP+eBuD8iAAF+yoImwTW/OoAnv6E/L/6o?"）。
Wherein " face_data " is the key word of face characteristic parameter to be identified.The data length of the face_data parameter of identification request is determined by face characteristic and encryption method.Data in the present embodiment only do to illustrate that the form of packet uses.
Sending described identification request can realize by socket Network Transmission function.Detailed process at first, is created a socket by sockfd=socket (PF_INET, SOCK_STREAM, 0) with reference to figure 2; Then, dispose this sockfd by bind (sockfd, my_addr, sizeof (struct sockaddr)).Wherein, my_addr is the pointer that a sensing comprises the sockaddr type of information such as local terminal recognition of face IP address of terminal and port numbers; At last, by connect (sockfd, serv_addr, sizeof (struct sockaddr)) set up a TCP with the described second recognition of face terminal and be connected, wherein serv_addr is the pointer that a sensing includes the sockaddr type of information such as the second recognition of face IP address of terminal and port numbers.After connecting, by send (int sockfd, const void * msg, int len, int flags) send the identification request data package, wherein, sockfd is the socket descriptor that is used for sending data, msg is for pointing to the pointer of identification request data package, and len is the data length of identification request data package.
S103: the second recognition of face terminal receives and resolves the described identification request that has described face characteristic to be identified, discerns described face characteristic to be identified, sends identification according to the recognition result that obtains to the first face identification terminal and replys;
As shown in Figure 2, after having set up the network monitoring service, the second recognition of face terminal is in the network requests state of monitoring always, after listening to the identification request, receive the identification request by recv () function, and carry out command analysis according to form as shown in Figure 3.Be " RegRequest " if be resolved to the current command word, further resolve " face_data " parameter, extract the face characteristic data to be identified that " face_data " parameter is carried, and be decrypted, obtain face characteristic to be identified with corresponding decryption method.Adopt the method identical with step S102, the identification of comparing of face characteristic in everyone the face feature templates in the face characteristic database that described face characteristic to be identified and the described second recognition of face terminal are stored in advance, if discern successfully, recognition result is set for to discern successfully.If recognition failures, it is recognition failures that recognition result then is set.If before identification that described face characteristic is compared, the described second recognition of face terminal is in busy condition, send the stand-by period then for described the first face identification terminal.
Tissue identification is replied, and sends identification to the first face identification terminal and replys, and form comprises as shown in Figure 4: identification acknowledgement command word and parameter, described parameter determine that according to recognition result recognition result comprises identification success and recognition failures.Adopt at least with a space-separated between each parameter.When recognition result is that parameter comprises: recognition result, Customs Assigned Number, name, recognition time, work attendance attribute etc. when discerning successfully; When recognition result was recognition failures, parameter comprised: recognition result, failure cause.
Form that cited identification is replied in this step and command word for setting forth the implementation procedure of this step, are not to be used for limiting the format and content that concrete identification is replied only, and the format and content that identification is replied can also have other various ways.
S104: the first face identification terminal receives identification that the second recognition of face terminal returns and replys the back and resolve, and points out according to the recognition result that obtains.
The first face identification terminal receives after identification that the second recognition of face terminal sends replys, and described identification is replied according to form as shown in Figure 4 resolve, and obtains recognition result.When definite recognition result is " success ", further resolve other command parameters, obtain the first face identification terminal equipment sign, discern successful Customs Assigned Number, name, recognition time and work attendance attribute etc., and discern successfully in current recognition of face terminal (being the first face identification terminal) prompting, preservation comprises the identification record of information such as Customs Assigned Number, name, recognition time; When definite recognition result is " fail ", continue to wait for the recognition result of other second recognition of face terminals, until surpassing setting-up time.If in setting-up time, described the first face identification terminal does not receive that the identification that any one second recognition of face terminal sends replys, during replying, the identification of perhaps receiving do not contain any identification successful result, then described the first face identification terminal prompting recognition failures.
Embodiment two:
Corresponding with the distributed face identification method that the embodiment of the invention provides, the embodiment of the invention also provides distributed face identification system, as shown in Figure 5.This system comprises: network connection device 52 and at least two people's face identification terminals 51, described at least two people's face identification terminals 51 interconnect by network connection device 52.
Described network connection device 52 can be hub, switch, router, is used for connecting a plurality of recognition of face terminals 51, and forms a LAN.
Described recognition of face terminal 51 is used for:
Registrant's face feature templates, storage face characteristic database;
Facial image to be identified also therefrom extracts face characteristic to be identified before gathering current recognition of face terminal;
The described face characteristic to be identified of identification in local terminal (promptly gathering the current recognition of face terminal of facial image) face characteristic database, if discern successfully, preservation identification record and prompting are discerned successfully; Otherwise, described face characteristic to be identified is sent to other people the face identification terminal that connects by network discern, and receive the identification that described other people face identification terminal returns and reply, resolve then, obtain recognition result, according to the recognition result prompting identification success or the recognition failures that obtain;
And, identification request according to other people the face identification terminal transmission that receives, therefrom extract face characteristic to be identified, and in local terminal (promptly receiving the recognition of face terminal of identification request) face characteristic database, discern described face characteristic to be identified, and reply according to recognition result transmission identification.
Embodiment three:
Corresponding with distributed face identification method and system that the embodiment of the invention provides, the embodiment of the invention also provides a kind of recognition of face terminal, as shown in Figure 6, described recognition of face terminal comprises: CPU (central processing unit) 61 and the connected push-button unit 62 of difference, shooting unit 63, display unit 64, storage unit 65, transmitting element 66 and receiving element 67.
CPU (central processing unit) 61, be used to control connected push-button unit 62, take unit 63, display unit 64, storage unit 65, transmitting element 66 and receiving element 67, and operation recognition of face instruction, from take the facial image of taking unit 63, extract face characteristic, and with storage unit 65 in the identification of comparing of face characteristic template in the face characteristic database of storage;
Push-button unit 62, the IP address and the registered user's information that are used to that the local terminal IP address of face identification device is set and pass through connected at least one other people the face identification terminal of network are set up the face characteristic database;
Take unit 63, comprise camera, be used to take face images of users;
Display unit 64 is used to show interface, registered user interface, the identification interface that described recognition of face terminal is set and discerns successfully reach failure prompting interface;
Storage unit 65 is used to store IP address, identification record of this machine IP address of face characteristic database, recognition of face terminal and at least one other people the face identification terminal that is connected by network etc.;
Transmitting element 66 is used for sending identification request and identification and replys;
Receiving element 67 is used for receiving identification request and identification and replys.
The embodiment of the invention is by setting in advance recognition of face terminal interconnected in the LAN (Local Area Network), when the user carries out recognition of face when success at the first face identification terminal, this user's face characteristic to be identified is sent to the second recognition of face terminal of networking, again this user is carried out recognition of face by the second recognition of face terminal, and recognition result is returned to the first face identification terminal.By this method, the recognition of face user needn't carry out recognition of face in certain recognition of face terminal of appointment, can carry out recognition of face in any recognition of face terminal of networking, provides great convenience to the user.
More than to distributed face identification method provided by the present invention and system and face identification device, be described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, part in specific embodiments and applications all can change.In sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a distributed face identification method is characterized in that, comprising:
S100: the first face identification terminal and at least one the second recognition of face terminal that is connected by network with the first face identification terminal are set;
S101: the first face identification terminal is gathered face images of users to be identified and is therefrom extracted face characteristic to be identified;
S102: the first face identification terminal is discerned described face characteristic to be identified, if discern successfully, then prompting is discerned successfully, otherwise, send the identification request that has described face characteristic to be identified to described at least one second recognition of face terminal;
S103: the second recognition of face terminal receives and resolves the described identification request that has described face characteristic to be identified, discerns described face characteristic to be identified, sends identification according to the recognition result that obtains to the first face identification terminal and replys;
S104: the first face identification terminal receives identification that the second recognition of face terminal returns and replys the back and resolve, and points out according to the recognition result that parsing obtains.
2. method according to claim 1 is characterized in that, also comprises before the described step S101: the first face identification terminal and the second recognition of face terminal registration people face user, and storage face characteristic template, set up the face characteristic database.
3. method according to claim 2, it is characterized in that the first face identification terminal described in the step S102 is discerned described face characteristic to be identified and comprised: the similarity score that calculates everyone the face feature templates in the face characteristic database that described face characteristic to be identified and this first face identification terminal store in advance respectively; If the maximal value of the similarity score of each one the face feature templates correspondence that obtains is then discerned successfully greater than preset threshold value.
4. method according to claim 2, it is characterized in that the face characteristic to be identified of identification described in the step S103 comprises: the similarity score that calculates everyone the face feature templates in the face characteristic database that described face characteristic to be identified and this second recognition of face terminal store in advance respectively; If the maximal value of the similarity score of each one the face feature templates correspondence that obtains is then discerned successfully greater than preset threshold value.
5. method according to claim 1, it is characterized in that, described identification is replied and is comprised identification acknowledgement command word and parameter, and described parameter determines that according to the second recognition of face terminal parses and the recognition result that identification obtains recognition result further comprises identification success and recognition failures.
6. method according to claim 5 is characterized in that, when recognition result is that described parameter also comprises at least: Customs Assigned Number, name, recognition time when discerning successfully.
7. method according to claim 1 is characterized in that, described step S104 further comprises:
The first face identification terminal receives identification that the second recognition of face terminal returns and replys the back and resolve; If the recognition result that parsing obtains is for to discern successfully, then the first face identification terminal will be discerned successful corresponding informance and preserve, and prompting is discerned successfully;
Otherwise, repeat to receive identification and reply and resolve, be recognition failures, the first face identification terminal prompting recognition failures until surpassing all recognition results that setting-up time or parsing obtain.
8. a distributed face identification system is characterized in that, comprises network connection device and at least two people's face identification terminals that are connected by this network connection device, and wherein, described recognition of face terminal is used for:
Facial image to be identified also therefrom extracts face characteristic to be identified before gathering current recognition of face terminal;
Discern described face characteristic to be identified, if discern successfully, preservation identification record and prompting are discerned successfully; Otherwise, described face characteristic to be identified is sent to other the recognition of face terminal that is connected by network connection device with current recognition of face terminal to be discerned, and receive the identification that described other recognition of face terminal returns and reply, resolve then, point out according to the recognition result that parsing obtains;
And, according to the identification request that other people the face identification terminal that receives sends, therefrom extract face characteristic to be identified, and discern described face characteristic to be identified, and reply according to recognition result transmission identification.
9. face identification system according to claim 8, it is characterized in that, described recognition of face terminal also is used for registrant's face feature templates, storage face characteristic database, and described recognition of face terminal is the described face characteristic to be identified of identification in the face characteristic database of local terminal storage.
10. a distributed recognition of face terminal is characterized in that, comprising: CPU (central processing unit) and the push-button unit that is connected with this CPU (central processing unit) respectively, shooting unit, display unit, storage unit, transmitting element and receiving element, wherein:
Described CPU (central processing unit) is used to move recognition of face instruction, extracts face characteristic from the facial image of taking unit photographs, and with storage unit in the identification of comparing of face characteristic template in the face characteristic database stored;
Described push-button unit is used to be provided with the local terminal IP address of recognition of face terminal and IP address, registered user's information of at least one other people face identification terminal of connecting by network, sets up the face characteristic database;
Described shooting unit comprises camera, is used to take face images of users;
Described display unit is used to show interface, the registered user interface that described face identification device is set and discerns successfully reach failure prompting interface;
Described storage unit, IP address, the identification record of at least one other people the face identification terminal that be used to store the IP address of the local terminal of face characteristic database, recognition of face terminal, connects by network;
Described transmitting element is used for sending identification request and identification and replys;
Described receiving element is used for receiving identification request and identification and replys.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101303690A CN102184391A (en) | 2011-05-19 | 2011-05-19 | Distributed type face recognition method and system as well as face recognition terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101303690A CN102184391A (en) | 2011-05-19 | 2011-05-19 | Distributed type face recognition method and system as well as face recognition terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102184391A true CN102184391A (en) | 2011-09-14 |
Family
ID=44570565
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011101303690A Pending CN102184391A (en) | 2011-05-19 | 2011-05-19 | Distributed type face recognition method and system as well as face recognition terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102184391A (en) |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682290A (en) * | 2012-05-07 | 2012-09-19 | 蔡翔 | Respective type biological feature identifying method and system |
| WO2013081517A1 (en) * | 2011-12-01 | 2013-06-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method for performing face recognition in a radio access network |
| CN103679907A (en) * | 2014-01-08 | 2014-03-26 | 佛山科学技术学院 | Biological information identification method and biological information identification system applied to building talk-back |
| CN105046303A (en) * | 2015-08-03 | 2015-11-11 | 深圳市科锐奇科技有限公司 | Distributed data interaction based biological identification method and system |
| CN105279496A (en) * | 2015-10-26 | 2016-01-27 | 浙江宇视科技有限公司 | Human face recognition method and apparatus |
| CN105872979A (en) * | 2016-05-31 | 2016-08-17 | 王方松 | Method and device for obtaining crowd information in set place |
| CN106469296A (en) * | 2016-08-30 | 2017-03-01 | 北京旷视科技有限公司 | Face identification method, device and gate control system |
| CN106650589A (en) * | 2016-09-30 | 2017-05-10 | 北京旷视科技有限公司 | Real-time face recognition system and method |
| WO2017162076A1 (en) * | 2016-03-24 | 2017-09-28 | 北京握奇数据股份有限公司 | Face identification method and system |
| CN107743081A (en) * | 2017-09-30 | 2018-02-27 | 广东美的制冷设备有限公司 | Home appliance and its control method, system and computer-readable recording medium |
| CN108830241A (en) * | 2018-06-22 | 2018-11-16 | 四川华翼共享区块链科技有限公司 | A kind of shared quick identification terminal of seat passenger safety check based on artificial intelligence |
| CN109543504A (en) * | 2018-09-29 | 2019-03-29 | 杭州沃习睿科技合伙企业(有限合伙) | Collaboration face identification system and method based on independent recognition of face terminal |
| CN109544738A (en) * | 2018-11-07 | 2019-03-29 | 武汉烽火众智数字技术有限责任公司 | A kind of cell demographic method and device |
| CN109684940A (en) * | 2018-12-06 | 2019-04-26 | 武汉腾云慧城科技有限公司 | A kind of face identification method and system based on Triple distribution dynamic dispatching |
| CN109872406A (en) * | 2019-01-23 | 2019-06-11 | 北京影谱科技股份有限公司 | A kind of gradual judgement update method, device and face punch card system |
| CN109993127A (en) * | 2019-04-03 | 2019-07-09 | 浙江口信科技有限公司 | A kind of facial image recognition method based on artificial intelligence |
| CN110930564A (en) * | 2019-12-06 | 2020-03-27 | 冯彬荣 | Multi-channel entrance guard joint identification method and system |
| CN111104818A (en) * | 2018-10-25 | 2020-05-05 | 珠海格力电器股份有限公司 | Face recognition method and face recognition equipment |
| WO2020133734A1 (en) * | 2018-12-28 | 2020-07-02 | 深兰盛视科技（苏州）有限公司 | Biological information recognition method, device and system, and computer storable medium |
| CN111724497A (en) * | 2020-06-30 | 2020-09-29 | 重庆勤鸟圈科技有限公司 | Shower control system for gymnasium |
| CN112132030A (en) * | 2020-09-23 | 2020-12-25 | 湖南快乐阳光互动娱乐传媒有限公司 | Video processing method and device, storage medium and electronic equipment |
| CN112448960A (en) * | 2020-12-09 | 2021-03-05 | 国网辽宁省电力有限公司葫芦岛供电公司 | Internal network computer network management and control system using face recognition technology |
| CN112989922A (en) * | 2021-01-07 | 2021-06-18 | 腾讯科技（深圳）有限公司 | Face recognition method, device, equipment and storage medium based on artificial intelligence |
| CN113051981A (en) * | 2019-12-28 | 2021-06-29 | 浙江宇视科技有限公司 | Face recognition method and device |
| CN113362514A (en) * | 2021-05-31 | 2021-09-07 | 浙江大华技术股份有限公司 | Interface login method, first device, second device and verification system |
| CN113362020A (en) * | 2021-05-31 | 2021-09-07 | 华诺智能(深圳)有限公司 | Workshop personnel management and control system and management and control method based on face recognition technology |
| CN114022966A (en) * | 2021-09-30 | 2022-02-08 | 福建数博讯信息科技有限公司 | Time correction method between real-name system platform and face recognition equipment |
| CN115063918A (en) * | 2022-04-26 | 2022-09-16 | 厦门立林科技有限公司 | Face recognition method, entrance guard, intelligent lock, server and system |
| CN115171312A (en) * | 2022-06-28 | 2022-10-11 | 重庆京东方智慧科技有限公司 | Image processing method, device, equipment, monitoring system and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201072567Y (en) * | 2006-12-20 | 2008-06-11 | 四川实力达巨元科技有限公司 | Examinee fingerprint portrait and multi-discrimination system for identity card |
| CN101420301A (en) * | 2008-04-21 | 2009-04-29 | 林格灵 | Human face recognizing identity authentication system |
| CN201509272U (en) * | 2009-09-07 | 2010-06-16 | 泉州市铁通电子设备有限公司 | Embedded face detection identification and monitoring video system |
| US20100239130A1 (en) * | 2009-03-18 | 2010-09-23 | Industrial Technology Research Institute | System and method for performing rapid facial recognition |
-
2011
- 2011-05-19 CN CN2011101303690A patent/CN102184391A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201072567Y (en) * | 2006-12-20 | 2008-06-11 | 四川实力达巨元科技有限公司 | Examinee fingerprint portrait and multi-discrimination system for identity card |
| CN101420301A (en) * | 2008-04-21 | 2009-04-29 | 林格灵 | Human face recognizing identity authentication system |
| US20100239130A1 (en) * | 2009-03-18 | 2010-09-23 | Industrial Technology Research Institute | System and method for performing rapid facial recognition |
| CN201509272U (en) * | 2009-09-07 | 2010-06-16 | 泉州市铁通电子设备有限公司 | Embedded face detection identification and monitoring video system |
Cited By (45)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9552373B2 (en) | 2011-12-01 | 2017-01-24 | Telefonaktiebolaget Lm Ericsson (Publ) | Method for performing face recognition in a radio access network |
| WO2013081517A1 (en) * | 2011-12-01 | 2013-06-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method for performing face recognition in a radio access network |
| CN102682290A (en) * | 2012-05-07 | 2012-09-19 | 蔡翔 | Respective type biological feature identifying method and system |
| CN103679907A (en) * | 2014-01-08 | 2014-03-26 | 佛山科学技术学院 | Biological information identification method and biological information identification system applied to building talk-back |
| CN103679907B (en) * | 2014-01-08 | 2016-06-29 | 佛山科学技术学院 | A kind of biological information recognition method being applied to building talkback and system thereof |
| CN105046303A (en) * | 2015-08-03 | 2015-11-11 | 深圳市科锐奇科技有限公司 | Distributed data interaction based biological identification method and system |
| CN105046303B (en) * | 2015-08-03 | 2018-11-02 | 深圳市科锐奇科技有限公司 | A kind of biometric discrimination method based on distributed data interaction |
| CN105279496A (en) * | 2015-10-26 | 2016-01-27 | 浙江宇视科技有限公司 | Human face recognition method and apparatus |
| CN105279496B (en) * | 2015-10-26 | 2019-10-18 | 浙江宇视科技有限公司 | A kind of method and apparatus of recognition of face |
| WO2017162076A1 (en) * | 2016-03-24 | 2017-09-28 | 北京握奇数据股份有限公司 | Face identification method and system |
| CN105872979A (en) * | 2016-05-31 | 2016-08-17 | 王方松 | Method and device for obtaining crowd information in set place |
| CN105872979B (en) * | 2016-05-31 | 2019-11-26 | 王方松 | A kind of method and device obtaining crowd's information in setting place |
| CN106469296A (en) * | 2016-08-30 | 2017-03-01 | 北京旷视科技有限公司 | Face identification method, device and gate control system |
| CN106650589A (en) * | 2016-09-30 | 2017-05-10 | 北京旷视科技有限公司 | Real-time face recognition system and method |
| CN107743081A (en) * | 2017-09-30 | 2018-02-27 | 广东美的制冷设备有限公司 | Home appliance and its control method, system and computer-readable recording medium |
| CN108830241A (en) * | 2018-06-22 | 2018-11-16 | 四川华翼共享区块链科技有限公司 | A kind of shared quick identification terminal of seat passenger safety check based on artificial intelligence |
| CN109543504A (en) * | 2018-09-29 | 2019-03-29 | 杭州沃习睿科技合伙企业(有限合伙) | Collaboration face identification system and method based on independent recognition of face terminal |
| CN111104818A (en) * | 2018-10-25 | 2020-05-05 | 珠海格力电器股份有限公司 | Face recognition method and face recognition equipment |
| CN111104818B (en) * | 2018-10-25 | 2021-05-14 | 珠海格力电器股份有限公司 | Face recognition method and face recognition equipment |
| CN109544738A (en) * | 2018-11-07 | 2019-03-29 | 武汉烽火众智数字技术有限责任公司 | A kind of cell demographic method and device |
| CN109684940A (en) * | 2018-12-06 | 2019-04-26 | 武汉腾云慧城科技有限公司 | A kind of face identification method and system based on Triple distribution dynamic dispatching |
| CN109684940B (en) * | 2018-12-06 | 2021-06-04 | 武汉腾云慧城科技有限公司 | Face recognition method and system based on three-layer distributed dynamic scheduling |
| WO2020133734A1 (en) * | 2018-12-28 | 2020-07-02 | 深兰盛视科技（苏州）有限公司 | Biological information recognition method, device and system, and computer storable medium |
| CN109872406A (en) * | 2019-01-23 | 2019-06-11 | 北京影谱科技股份有限公司 | A kind of gradual judgement update method, device and face punch card system |
| CN109872406B (en) * | 2019-01-23 | 2021-07-09 | 北京影谱科技股份有限公司 | Progressive judgment updating method and device and face card punching system |
| CN113505824A (en) * | 2019-01-23 | 2021-10-15 | 北京影谱科技股份有限公司 | Judgment updating method and device and face card punching system |
| CN113505824B (en) * | 2019-01-23 | 2024-01-09 | 北京影谱科技股份有限公司 | Judgment updating method and device and face card punching system |
| CN109993127A (en) * | 2019-04-03 | 2019-07-09 | 浙江口信科技有限公司 | A kind of facial image recognition method based on artificial intelligence |
| CN110930564B (en) * | 2019-12-06 | 2021-12-10 | 冯彬荣 | Multi-channel entrance guard joint identification method and system |
| CN110930564A (en) * | 2019-12-06 | 2020-03-27 | 冯彬荣 | Multi-channel entrance guard joint identification method and system |
| CN113051981B (en) * | 2019-12-28 | 2024-03-26 | 浙江宇视科技有限公司 | Face recognition method and device |
| CN113051981A (en) * | 2019-12-28 | 2021-06-29 | 浙江宇视科技有限公司 | Face recognition method and device |
| CN111724497A (en) * | 2020-06-30 | 2020-09-29 | 重庆勤鸟圈科技有限公司 | Shower control system for gymnasium |
| CN112132030A (en) * | 2020-09-23 | 2020-12-25 | 湖南快乐阳光互动娱乐传媒有限公司 | Video processing method and device, storage medium and electronic equipment |
| CN112132030B (en) * | 2020-09-23 | 2024-05-28 | 湖南快乐阳光互动娱乐传媒有限公司 | Video processing method and device, storage medium and electronic equipment |
| CN112448960B (en) * | 2020-12-09 | 2023-04-18 | 国网辽宁省电力有限公司葫芦岛供电公司 | Internal network computer network management and control system using face recognition technology |
| CN112448960A (en) * | 2020-12-09 | 2021-03-05 | 国网辽宁省电力有限公司葫芦岛供电公司 | Internal network computer network management and control system using face recognition technology |
| CN112989922A (en) * | 2021-01-07 | 2021-06-18 | 腾讯科技（深圳）有限公司 | Face recognition method, device, equipment and storage medium based on artificial intelligence |
| CN112989922B (en) * | 2021-01-07 | 2024-08-27 | 腾讯科技（深圳）有限公司 | Face recognition method, device, equipment and storage medium based on artificial intelligence |
| CN113362020A (en) * | 2021-05-31 | 2021-09-07 | 华诺智能(深圳)有限公司 | Workshop personnel management and control system and management and control method based on face recognition technology |
| CN113362514A (en) * | 2021-05-31 | 2021-09-07 | 浙江大华技术股份有限公司 | Interface login method, first device, second device and verification system |
| CN114022966A (en) * | 2021-09-30 | 2022-02-08 | 福建数博讯信息科技有限公司 | Time correction method between real-name system platform and face recognition equipment |
| CN115063918A (en) * | 2022-04-26 | 2022-09-16 | 厦门立林科技有限公司 | Face recognition method, entrance guard, intelligent lock, server and system |
| CN115063918B (en) * | 2022-04-26 | 2024-01-09 | 厦门立林科技有限公司 | Face recognition method, entrance guard, intelligent lock, server and system |
| CN115171312A (en) * | 2022-06-28 | 2022-10-11 | 重庆京东方智慧科技有限公司 | Image processing method, device, equipment, monitoring system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102184391A (en) | Distributed type face recognition method and system as well as face recognition terminal | |
| CN105279416A (en) | Identity recognition method and system based on multi-biometric feature in combination with device fingerprint | |
| CN105117624A (en) | Recognition system and method of user system based on face recognition | |
| CN103561086B (en) | Method, terminal device and the Cloud Server of calendar prompting information is presented | |
| CN109213781B (en) | Wind control data query method and device | |
| KR20180128435A (en) | Method and apparatus for identity registration | |
| CN202772921U (en) | Network login authentication protection system based on face identification | |
| CN102833235A (en) | Identity authentication and management device and identity authentication and management method | |
| CN103856472A (en) | Account login method and device | |
| CN105554009B (en) | A method of passing through Network Data Capture device operating system information | |
| KR20210047350A (en) | Attendance management system, method and electronic device | |
| CN102413112A (en) | Method, association server and system for realizing association of equipment | |
| US10802888B2 (en) | Information processing device and cooperative distributed storage system | |
| CN109492865A (en) | Anti- check card cheat method, device, computer installation and storage medium | |
| CN203276380U (en) | Distributed door access authentication system based on palm veins | |
| CN109104475A (en) | Connect restoration methods, apparatus and system | |
| CN104935548B (en) | Auth method, apparatus and system based on intelligent equipment of tatooing | |
| CN103402193A (en) | Method for quickly exchanging information on mobile terminals with fingerprint sensors | |
| CN110188129A (en) | Data processing method, device, system, equipment and the medium of testimony of a witness verification terminal | |
| CN105592169B (en) | Terminal identification method and device | |
| CN111901151A (en) | Method, device, equipment and medium for gateway equipment to manage IOT equipment | |
| CN108093390A (en) | A kind of smart machine of feature based information finds method | |
| JP2006344013A (en) | User authentication system and user authentication method therefor | |
| CN106067198B (en) | A kind of method and system for verifying gate inhibition's password | |
| CN107528911A (en) | Cloud platform system based on Internet of Things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110914 |