Background technology
In recent years, developing rapidly along with social production, a lot of social hidden trouble is also following, in city, the place such as arterial street, crossing, enterprise, market, school, important place all will be monitored and can manage concentratedly, and need round-the-clock monitoring, so supervisory system will be faced with the challenge of massive store.Along with the demand in video surveillance applications field is increasing, the scheme no longer satisfaction of the wiring that marketing users previously adopted usually for the past, installation debugging.
And simultaneously, the concept in high in the clouds is had in WEB3.0, and high in the clouds software platform, adopt applying virtual technology, integrate the several functions such as software search, download, use, management, backup, for networking software resource, software application and software service platform, improve the mode that current software obtains and uses, bring you simple smoothness, conveniently complete new experience.
Enjoy the concern of people in society information security issue, inherently safe and individual privacy protection become the hot issue in these epoch.Social desirability can not be met completely based on traditional safety practices such as password, PIN (Personal Identification Number), magnetic card and keys.In addition, recognition of face is one of research theme the most popular in present mode identification and image understanding, is also the visual plant of safety monitoring.Existing equipment is only applicable to the application under restriction task domain and condition, identification under complex background condition and tracking also do not reach real requirement, under the support of state natural sciences fund, " the multichannel recognition of face of video server Network Based and supervisory system " have extensively studied the face recognition algorithms under complex environment, and defines a set of experimental system model machine that can be practical.
Summary of the invention
The object of the present invention is to provide a kind of Intelligent Dynamic recognition of face encryption system being applicable to smart mobile phone and PC terminal and playing in real time, to solve the problem proposed in above-mentioned background technology.
For achieving the above object, the invention provides following technical scheme:
A kind of Intelligent Dynamic recognition of face encryption system, comprise camera, processing terminal, human face data acquisition module, face characteristic information extraction module, portable terminal device and touch screen module, described processing terminal connects human face data acquisition module, face characteristic information extraction module, encrypting module, wireless communication module and touch screen module respectively, human face data acquisition module also connects camera, and described wireless communication module also wirelessly connects portable terminal device.
As the further scheme of the present invention: described portable terminal device comprises mobile phone, panel computer and PC.
As the further scheme of the present invention: described face characteristic information extraction process module comprises: blink detection unit, for carrying out blink detection to human face image sequence; Image pre-processing unit, for carrying out pre-service to facial image, to set the hunting zone of unique point; Feature point extraction unit, for extracting the characteristic point information of facial image.
As the further scheme of the present invention: described intelligent storage discrimination module is connected with central processing module, described central processing module is connected with alarm and reminding device, prestore in described intelligent storage discrimination module by the suspect image information obtained after processing module performance analysis, the real-time image information received compares with suspect image information by central processing module, find similar, then can control alarm and reminding device and give the alarm.
As the further scheme of the present invention: described unique point comprises pupil, interior tail of the eye point, nostril, nose, the corners of the mouth.
As the present invention's further scheme: described camera is the high-definition digital Explosionproof camera with night vision function.
Compared with prior art, the invention has the beneficial effects as follows: Intelligent Dynamic recognition of face encryption system discrimination of the present invention is high, system architecture is simple, and cost is low, is applicable to very much promoting the use of.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, in the embodiment of the present invention, a kind of Intelligent Dynamic recognition of face encryption system, comprise camera, processing terminal, human face data acquisition module, face characteristic information extraction module, portable terminal device and touch screen module, processing terminal connects human face data acquisition module, face characteristic information extraction module, encrypting module, wireless communication module and touch screen module respectively, human face data acquisition module also connects camera, and wireless communication module also wirelessly connects portable terminal device.
Portable terminal device comprises mobile phone, panel computer and PC.
Face characteristic information extraction process module comprises: blink detection unit, for carrying out blink detection to human face image sequence; Image pre-processing unit, for carrying out pre-service to facial image, to set the hunting zone of unique point; Feature point extraction unit, for extracting the characteristic point information of facial image.
Intelligent storage discrimination module is connected with central processing module, central processing module is connected with alarm and reminding device, prestore by the suspect image information obtained after processing module performance analysis in intelligent storage discrimination module, the real-time image information received compares with suspect image information by central processing module, find similar, then can control alarm and reminding device and give the alarm.
Unique point comprises pupil, interior tail of the eye point, nostril, nose, the corners of the mouth.
Camera is the high-definition digital Explosionproof camera with night vision function.
Principle of work of the present invention is: refer to Fig. 1, according to face priori, utilizes normalization template matches, determines the general area of face in whole facial image, and the roughly hunting zone of unique point; This normalization template is the average face that multiple different face gray level image calculates, and marks the key position wherein for mating; If pre-service failure, then abandon this current frame image, and extract the next frame image in image sequence, continue above-mentioned steps;
If pre-service success, then feature point extraction operation is carried out to this current frame image, comprises the following steps:
Ocular is carried out to the gradient image integral projection of horizontal and vertical, determine pupil position information;
Centered by two eye pupil holes, ocular is determined in position, carries out binary conversion treatment and obtains binary image, and accurately locates interior tail of the eye dot position information in conjunction with SUSAN operator;
Based on two eye pupil hole sites, area grayscale integral projection is adopted to determine two nostril dot position informations in nose region of search;
Search for highlight regions near above two nostril point lines, namely obtain nose positional information;
Gray scale normalization, binary conversion treatment are carried out to face region, obtains binary image, and use SUSAN operator to obtain face edge image;
Based on face edge image, carry out angle point grid, obtain the precise position information of two corners of the mouths; If do not have a two field picture pre-service success in the image sequence in described face video frag info, then this face video frag info entirety is defective, returns above-mentioned steps and again takes;
When pre-service success and the image carrying out feature point extraction operation adds up to reach the maximum frame number of systemic presupposition, or all images in the image sequence in this face video frag info is all processed complete, then carry out Combined Treatment by extracting the whole face characteristic information obtained, and calculate final feature extraction result; The maximum frame number of this systemic presupposition is 100 frames;
System carries out the prompting operation of user's brush smart card, and described NFC communication module swiping the card according to user
NFC tag information described in described encrypting module utilizes carries out face characteristic information encryption;
Described authentication service system request process operation, comprises the following steps:
Described authentication service system acceptance is to described authentication request information;
Service system judges whether request format meets default prescribed form;
If form is correct, then continues step and process; Otherwise return the result of " authentication failure " to authentication client, and end process;
Whether before the deadline the certificate of corresponding smart card is verified according to the smart card numbers in described authentication request information;
If certificate before the deadline, then continue step and process; Otherwise return the result of " authentication failure " to authentication client, and end process;
In the database of authentication service system, relevant user profile is inquired about according to the smart card numbers in described authentication request information;
With the PKI of corresponding user, the user profile in described authentication request information is decrypted;
Characteristic matching checking is carried out by deciphering the face characteristic information obtained;
If be proved to be successful, then return the result of " passing through authentication " to authentication client, otherwise the result returning " authentication failure " is to authentication client.