CN106851369A - A kind of information interacting method and its information interaction system based on Web TV - Google Patents

A kind of information interacting method and its information interaction system based on Web TV Download PDF

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Publication number
CN106851369A
CN106851369A CN201710012118.XA CN201710012118A CN106851369A CN 106851369 A CN106851369 A CN 106851369A CN 201710012118 A CN201710012118 A CN 201710012118A CN 106851369 A CN106851369 A CN 106851369A
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data
web
service content
fingerprint
value
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Inventor
江正华
王旭耀
周世银
毛本明
林羽帆
周文超
雷波
曾德祥
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GUANGZHOU BOSMA PHOTOELECTRIC TECHNOLOGY Co Ltd
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GUANGZHOU BOSMA PHOTOELECTRIC TECHNOLOGY Co Ltd
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Priority to CN201710012118.XA priority Critical patent/CN106851369A/en
Publication of CN106851369A publication Critical patent/CN106851369A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/4104—Peripherals receiving signals from specially adapted client devices
    • H04N21/4126—The peripheral being portable, e.g. PDAs or mobile phones
    • H04N21/41265—The peripheral being portable, e.g. PDAs or mobile phones having a remote control device for bidirectional communication between the remote control device and client device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1347—Preprocessing; Feature extraction
    • G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
    • H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Social Psychology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The invention discloses a kind of information interacting method based on Web TV, comprise the following steps：(1) presupposed information interactive system；(2) by different fingerprint template data pre-storage to fingerprint databases, the corresponding service content of the finger print data of juvenile stage is saved in juvenile stage service content subdata base, the corresponding service content of the finger print data of adult phase is saved in adult phase service content subdata base；(3) current finger print data are gathered by the fingerprint collecting unit of remote control, current finger print data is sent to the host side of Web TV by bluetooth communication unit, host side is judged the corresponding age level of current finger print data；(4) Web TV application layer shown by application scenarios APP, the service content in the corresponding service content data storehouse of the age level corresponding to the current finger print data.The invention also discloses the information interaction system based on Web TV.

Description

A kind of information interacting method and its information interaction system based on Web TV
Technical field
The present invention relates to network television field, more particularly to a kind of information interacting method and its information based on Web TV Interactive system.
Background technology
Intelligent TV network be a new generation function TV, the product breach traditional tv can only TV reception, Old model that cannot be interactive, intelligent TV network had web search, Internet Protocol Television, video request program (VOD), digital music, The various application services such as Internet news, network video telephone, shopping at network.
With the fast development of Internet technology, internet television has become the main flow TV of a new generation, Yong Hu The direct consumption of television is also more and more, and in application process, most application scenarios can all be related to significant data Interaction or the problem for paying, existing Web TV environment also lack safety protection function, and simple cryptographic function can not Meet demand.
With the development of big data technology, it is more and more intelligent that TV does, however, cannot still meet the more of user Demand.Different users is different because of hobby, so the service content for needing is different, for example, being needed before viewing TV every time User oneself searches for content interested, and some contents are users interested in other words, but the time be can not remember, therefore Oneself service content interested cannot be fast and accurately obtained, very big inconvenience is brought to user.
Meanwhile, when typically lying fallow, when number is more, some general entertainment programme can be together watched, when number is fewer, or During one people, TV play or special column for oneself seeing interest etc. can be watched.And traditional Web TV does not have according to viewing number Play the function of corresponding contents.
Therefore, how while information interaction security is improved, targetedly content service is pushed according to different user, It is the emphasis studied at this stage.
The content of the invention
For above-mentioned deficiency, it is an object of the invention to provide a kind of information interacting method based on Web TV and its friendship Mutual system, is user's corresponding service content of push in all ages and classes stage while improving information interaction security, and according to The quantity of viewing number pushes suitable service content, greatly improve Web TV information exchange it is intelligent with Convenience, more there is hommization, realizes intelligent Application process, improves Consumer's Experience.
The technical scheme that is used to reach above-mentioned purpose of the present invention is：
A kind of information interacting method based on Web TV, it is characterised in that comprise the following steps：
(1) information interaction system, including mobile terminal and Web TV are preset, the mobile terminal is mainly to be adopted by fingerprint The remote control of collection unit, bluetooth communication unit and PMU composition, the Web TV includes host side and Web TV Application layer, is provided with fingerprint database and all ages and classes stage service content data storehouse, all ages and classes stage in the host side Service content data storehouse includes juvenile stage service content subdata base and adult phase service content subdata base, the movement end By bluetooth communication mode transmission information between end and Web TV；
(2) by different fingerprint template data pre-storage to fingerprint databases, and default juvenile stage finger-print region area It is Sn, adult phase finger-print region area is So, preset fingerprint data row average value AVG1 and finger print data column average value AVG2； The corresponding service content of the finger print data of juvenile stage is saved in juvenile stage service content subdata base, by the adult phase The corresponding service content of finger print data be saved in adult phase service content subdata base；
(3) current finger print data are gathered by the fingerprint collecting unit of remote control, by bluetooth communication unit by current finger print Data are sent to the host side of Web TV, and host side is judged the corresponding age level of current finger print data：
(3.1) according to fingerprint physical location, current finger print data are stored in buff [i] [j] according to the mode of ranks, I represents capable, and j represents row；
(3.2) finger print data buff [i] [j] carries out efficiency frontier treatment extraction：
Extract (3.2.1) coboundary：Centered on C=j/2, the finger print data of line c is taken, obtain the average value of the row Avg_value1=(∑ buff [C] [0]-buff [C] [i])/i；Then, the difference of the row data and row average value AVG1 is carried out Sub1=avg_value1-AVG1；If sub1 is more than 0, it is not upper boundary values that this is capable, then repeat the step, and the is judged successively Whether row is upper boundary values, and the upper boundary values that will determine that out are demarcated as CH for C-1, C-2, C-3, C-n (n maximums are C)；
(3.2.2) lower boundary is extracted：Centered on C=j/2, the finger print data of line c is taken, obtain the average value of the row Avg_value2=(∑ buff [C] [0]-buff [C] [i])/i, then, carries out the difference of the row data and row average value AVG1 Sub2=avg_value 2-AVG1；If sub2 is more than 0, it is not lower border value that this is capable, then repeat the step, and the is judged successively Whether row is lower border value, and the upper boundary values that will determine that out are demarcated as CL for C+1, C+2, C+3, C+n (n maximums are C)；
(3.2.3) left margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value of the row Avg_value3=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference of the column data and column average value AVG2 is carried out Sub3=avg_value3-AVG2；If sub3 is more than 0, the row are not left boundary values, then repeat the step, and the is judged successively Whether R-1, R-2, R-3, R-n (n maximum R) row are left boundary value, and the left boundary value that will determine that out is demarcated as RH；
(3.2.4) right margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value of the row Avg_value4=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference of the column data and column average value AVG2 is carried out Sub4=avg_value 4-AVG2；If sub4 is more than 0, illustrate that the row are not right boundary values, then repeat the step, judge successively R+1, R+2, R+3, R+n row (n maximums be R) whether right boundary value, and the right boundary value that will determine that out is demarcated as RL；
(3.3) RL is demarcated as according to upper boundary values CH, upper boundary values CL, left boundary value RH and the right boundary value for obtaining, is asked Take effective finger-print region S=(CL-CH)) X (RL-RH)；
(3.4) by finger-print region S respectively with juvenile stage finger-print region area Sn and adult phase finger-print region area So It is compared, if △ S=S-Sn>0, then the age level of the corresponding user of the current finger print data is the adult phase, otherwise for Juvenile stage；
(4) Web TV application layer shown by application scenarios APP, the age level pair corresponding to the current finger print data Service content in the service content data storehouse answered, if the age level corresponding to current finger print data is the adult phase, should The service content in adult phase service content subdata base is shown with scene APP, otherwise, display juvenile stage service content Service content in database.
1. as a further improvement on the present invention, in the step (1), one first is provided with infrared on the remote control Sensor, while being provided with one second infrared sensor in Web TV front end, first infrared sensor forms first and detects Region, second infrared sensor forms the second detection zone, and first detection zone is relative with the second detection zone to form phase To detection zone, for perceiving the quantity of personnel in opposite detection zone.
As a further improvement on the present invention, in the step (2), respectively to juvenile stage service content subdata base Classified with the service content in adult phase service content subdata base, be divided into A classes service content and B class service content；
It is further comprising the steps of：
(5) human body quantity of the detection in opposite detection zone, and according to how much selection content recommendations of human body quantity In different classes of service in the service content subdata base that type matches with the current finger print data age level simultaneously Hold, pushed；
(5.1) coordinate for entering human body in opposite detection zone is calculated：
Known A (x1, y1) is the position coordinates of the first infrared sensor, and B (x2, y2) is the position of the second infrared sensor Coordinate, D (x3, y3) is human body position coordinate, and C is position of human body in the first infrared sensor position and the second infrared sensing Vertical point on the connecting line of device position, length l (AB)=d, then learnt by coordinate relation between AB：
The angle value θ of ∠ DAB is obtained by the first infrared sensor again, the angle of ∠ DBA is obtained by the second infrared sensor Value Φ, it is assumed that l (AC)=d1, l (BC)=d2, l (CD)=h, then d1, d2 and h have following relation：
According to coordinate and triangle edge lengths relation：
Thus, the coordinate value of human body position coordinate D (x3, y3) is obtained；
The step is constantly repeated, the coordinate for entering all human bodies in opposite detection zone is obtained；
(5.2) quantity of the human body coordinate for obtaining, the human body quantity as in opposite detection zone are calculated；
(5.3) if human body quantity is more than 5, A class service content is pushed；Otherwise, B class service content is pushed.
As a further improvement on the present invention, in the step (2), the pre-storage method of the fingerprint template data is： Start finger-print cipher and APP is set, user interface prompt user enters fingerprint typing pattern, by the fingerprint collecting unit of remote control Collection finger print data, and finger print data is sent back by finger-print cipher setting APP by bluetooth communication unit, calculated by fingerprint recognition Method carries out feature extraction, obtains fingerprint template data and stores.
As a further improvement on the present invention, the specific method of the feature extraction is：The line of the data that take the fingerprint is to number According to, then extract line to the line of data to breakpoint data, then extract relative point data of the line to breakpoint data, then by line to Data, line are integrally formed characteristic to breakpoint data with relative point data three.
As a further improvement on the present invention, it is further comprising the steps of：
(6) Web TV application layer starts payment APP, and Web TV sends commands to mobile terminal, notifies that user enters Fingerprint collecting pattern, carries out fingerprint collecting and starts to send finger print data, network electricity by the fingerprint collecting unit of mobile terminal Started shooting by bluetooth depending on application layer and receive finger print data, finger print data is carried out with fingerprint template data by algorithm for recognizing fingerprint Characteristic matching, if the match is successful, performs payment process, otherwise, non-payment.
As a further improvement on the present invention, in the step (6), specifically including for the algorithm for recognizing fingerprint is following Step：
(6.1) fingerprint image to finger print data is pre-processed；
(6.1.1) is normalized：The size of fingerprint image is represented with m*n, before pixel (i, j) treatment and after treatment Gray value represents that the normalization formula of fingerprint image is with S (i, j), G (i, j) respectively：
Wherein, M0It is specified gray level average, VAR0It is specified variance, M is that the gray level of pending fingerprint image is equal Value, VAR is the variance of pending fingerprint image；
(6.1.2) image filtering：Template is chosen, with each pixel as module centers, corresponding pixel in module is read Gray value；Grey scale pixel value is ranked up, the maximum, intermediate value and minimum value of every a line are obtained respectively, used respectively：MAX1、 MAX2, MAX3, MIN1, MIN2, MIN3, MED1, MED2, MED3, compare MAX1, MAX2, MAX3, obtain minimum M in_of_ Max；Compare MED1, MED2, MED3, obtain intermediate value Med_of_Med；Compare MIN1, MIN2, MIN3, take maximum Max_of_ Min；Compare Min_of_Ma, Med_of_Med, Max_of_Min again, the median for obtaining, the end product Med_ for as filtering Of_nine, corresponding pixel is assigned to by this result；
(6.1.3) binaryzation：4 pixels are taken on each direction of template, by calculating 8 the 32 of direction pixels Gray value carry out threshold value, judge P points be in wrinkle ridge or line paddy, with G (i, j) represent pixel (i, j) gray value, use D represents direction, uses SdRepresent the gray level sum of 4 pixels on dr directions, SminAnd SmaxRepresent the maximum on 8 directions Value and minimum value, Sd、SminAnd SmaxShown in equation below：
Smax=max (Sd)
Smin=min (Sd)；
Gray level is necessarily more than 32 averages of the gray level of point on this 8 directions, shown in equation below：
Meanwhile, the gray value sum S of 4 points along crestal line direction around the point on wrinkle ridgemaxAnd vertical line 4 value sum SminAverages of the average more than 32 points, shown in equation below：
Drawn with reference to above formula：
By the formula can accurately judge central point whether crestal line point；
(6.1.4) is refined：Judge that pixel is streakline boundary point；Calculate 8 sums of neighborhood territory pixel point：Judge the value of M whether between 2 and 6；Judge whether following condition is set up：M1*M3*M5=0 or M1* M3*M7=0；Judge whether following condition is set up：M3*M5*M7=0 or M1*M5*M7=0；If condition above completely into It is vertical, then delete pixel M, repeat the step, to image in non-boundary point all judged and compared；
(6.2) feature extraction is carried out to pretreated fingerprint image, the line of pretreated fingerprint image data is extracted To data, line is then extracted to the line of data to breakpoint data, then extract relative point data of the line to breakpoint data, then will Line is integrally formed current signature data to data, line to breakpoint data and relative point data three, and by the current characteristic Characteristic matching is carried out with the fingerprint template data in fingerprint database, if finding matching value, output matching result；Otherwise mistake Return.
Implement the information interaction system based on Web TV of the above method, it is characterised in that including mobile terminal and net Network TV, the mobile terminal is the main remote control being made up of fingerprint collecting unit, bluetooth communication unit and PMU, Wherein, the fingerprint collecting unit is used for the collection of user fingerprints, and the bluetooth communication unit is used for the transmission of information；The Web TV Including host side and Web TV application layer, wherein, the Web TV is used to receive the fingerprint that bluetooth communication unit is sended over Data, and it is transferred to Web TV application layer for users to use, fingerprint database and all ages and classes rank are provided with the host side Section service content data storehouse, the fingerprint database is used to store the corresponding fingerprint template data of different user, all ages and classes Stage service content data storehouse includes juvenile stage service content subdata base and adult phase service content subdata base；The shifting Move between terminal and Web TV by bluetooth communication mode transmission information.
As a further improvement on the present invention, the first infrared sensor is provided with the remote control, while in network electricity Front end is provided with the second infrared sensor, first infrared sensor forms the first detection zone, second infrared sensor The second detection zone is formed, first detection zone is relative with the second detection zone to form opposite detection zone.
Beneficial effects of the present invention are：
(1) analyzed by big data is carried out to the content that different age group user often operates according to hobby and custom Analytic statistics, forms the corresponding service content of different age group fingerprint user, and uses fingerprint area partitioning, distinguishes use The age level (juvenile stage, adult phase) at family, and then at applied host machine end (Web TV) according to the age level of user, Realize to the push function of all ages and classes stage respective service content, the method that age level is judged according to fingerprint, accurately, soon Speed, greatly improves the intelligent and convenience of the information exchange of Web TV, improves Consumer's Experience.
(2) opposite detection zone is formed using two infrared sensors, to static people's position in opposite detection zone Put and be accurately positioned, the angular relationship according to two infrared sensors position and opposite detection zone in itself can obtain human body Coordinate information, and the human body quantity in opposite detection zone, and number quantity are counted, corresponding service content is played, Make the information exchange of Web TV more intelligent, it is more humane, further improve Consumer's Experience.
(3) fingerprint identification technology is introduced into blue Tooth remote controller, is accustomed to for Web TV usage scenario and customer consumption Demand, there is provided secure payment function, by being pre-processed to fingerprint image after carry out feature extraction and matching again, greatly improve The accuracy of fingerprint recognition, there is provided secure payment function, solves the security hidden trouble that payment process password is stolen, and realizes The payment of safety, intelligence.
Above-mentioned is the general introduction of inventive technique scheme, below in conjunction with accompanying drawing and specific embodiment, the present invention is done further Explanation.
Brief description of the drawings
Fig. 1 is overall structure block diagram of the invention.
Specific embodiment
Further to illustrate the present invention to reach technological means and effect that predetermined purpose is taken, below in conjunction with accompanying drawing And preferred embodiment, specific embodiment of the invention is described in detail.
Embodiment one：
Fig. 1 is refer to, the present embodiment provides a kind of information interacting method based on Web TV, comprises the following steps：
(1) information interaction system, including mobile terminal and Web TV are preset, the mobile terminal is mainly to be adopted by fingerprint The remote control of collection unit, bluetooth communication unit and PMU composition, the Web TV includes host side and Web TV Application layer, is provided with fingerprint database and all ages and classes stage service content data storehouse, all ages and classes stage in the host side Service content data storehouse includes juvenile stage service content subdata base and adult phase service content subdata base, the movement end By bluetooth communication mode transmission information between end and Web TV；
(2) by different fingerprint template data pre-storage to fingerprint databases, and default juvenile stage finger-print region area It is Sn, adult phase finger-print region area is So, preset fingerprint data row average value AVG1 and finger print data column average value AVG2； The corresponding service content of the finger print data of juvenile stage is saved in juvenile stage service content subdata base, by the adult phase The corresponding service content of finger print data be saved in adult phase service content subdata base；
(3) current finger print data are gathered by the fingerprint collecting unit of remote control, by bluetooth communication unit by current finger print Data are sent to the host side of Web TV, and host side is judged the corresponding age level of current finger print data：
(3.1) according to fingerprint physical location, current finger print data are stored in buff [i] [j] according to the mode of ranks, I represents capable, and j represents row；
(3.2) finger print data buff [i] [j] carries out efficiency frontier treatment extraction：
Extract (3.2.1) coboundary：Centered on C=j/2, the finger print data of line c is taken, obtain the average value of the row Avg_value1=(∑ buff [C] [0]-buff [C] [i])/i；Then, the difference of the row data and row average value AVG1 is carried out Sub1=avg_value1-AVG1；If sub1 is more than 0, it is not upper boundary values that this is capable, then repeat the step, and the is judged successively Whether row is upper boundary values, and the upper boundary values that will determine that out are demarcated as CH for C-1, C-2, C-3, C-n (n maximums are C)；
(3.2.2) lower boundary is extracted：Centered on C=j/2, the finger print data of line c is taken, obtain the average value of the row Avg_value2=(∑ buff [C] [0]-buff [C] [i])/i, then, carries out the difference of the row data and row average value AVG1 Sub2=avg_value 2-AVG1；If sub2 is more than 0, it is not lower border value that this is capable, then repeat the step, and the is judged successively Whether row is lower border value, and the upper boundary values that will determine that out are demarcated as CL for C+1, C+2, C+3, C+n (n maximums are C)；
(3.2.3) left margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value of the row Avg_value3=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference of the column data and column average value AVG2 is carried out Sub3=avg_value3-AVG2；If sub3 is more than 0, the row are not left boundary values, then repeat the step, and the is judged successively Whether R-1, R-2, R-3, R-n (n maximum R) row are left boundary value, and the left boundary value that will determine that out is demarcated as RH；
(3.2.4) right margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value of the row Avg_value4=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference of the column data and column average value AVG2 is carried out Sub4=avg_value 4-AVG2；If sub4 is more than 0, illustrate that the row are not right boundary values, then repeat the step, judge successively R+1, R+2, R+3, R+n row (n maximums be R) whether right boundary value, and the right boundary value that will determine that out is demarcated as RL；
(3.3) RL is demarcated as according to upper boundary values CH, upper boundary values CL, left boundary value RH and the right boundary value for obtaining, is asked Take effective finger-print region S=(CL-CH)) X (RL-RH)；
(3.4) by finger-print region S respectively with juvenile stage finger-print region area Sn and adult phase finger-print region area So It is compared, if △ S=S-Sn>0, then the age level of the corresponding user of the current finger print data is the adult phase, otherwise for Juvenile stage；
(4) Web TV application layer shown by application scenarios APP, the age level pair corresponding to the current finger print data Service content in the service content data storehouse answered, if the age level corresponding to current finger print data is the adult phase, should The service content in adult phase service content subdata base is shown with scene APP, otherwise, display juvenile stage service content Service content in database.
In the step (2), the pre-storage method of the fingerprint template data is：Start finger-print cipher and APP, user are set Interface prompt user enters fingerprint typing pattern, and finger print data is gathered by the fingerprint collecting unit of remote control, and by bluetooth Finger print data is sent back finger-print cipher and sets APP by communication unit, and feature extraction is carried out by algorithm for recognizing fingerprint, obtains fingerprint Template data is simultaneously stored.The specific method of the feature extraction is：The line of the data that take the fingerprint then extracts line to number to data According to line to breakpoint data, then extract relative point data of the line to breakpoint data, then by line to data, line to breakpoint data Characteristic is integrally formed with relative point data three.
In the present embodiment, by fingerprint area partitioning, age level (juvenile stage, the adult rank of user are distinguished Section), and then the push function of special services content is realized according to the age of user at applied host machine end (Web TV).This reality The method that example judges age level according to fingerprint is applied, accurately, quickly, and the service the same to user's push in age-grade stage Content, greatly improves the intelligent and convenience of the information exchange of Web TV, improves Consumer's Experience.
Embodiment two：
The present embodiment is identical with the basic fundamental feature of embodiment one, and its difference is：
In the step (1), one first infrared sensor is provided with the remote control, while in Web TV front end One second infrared sensor is provided with, first infrared sensor forms the first detection zone, second infrared sensor is formed Second detection zone, first detection zone is relative with the second detection zone to form opposite detection zone, for perceiving opposite inspection Survey the quantity of personnel in region.
In the step (2), respectively to juvenile stage service content subdata base and adult phase service content subnumber Classified according to the service content in storehouse, be divided into A classes service content and B class service content；
It is further comprising the steps of：
(5) human body quantity of the detection in opposite detection zone, and according to how much selection content recommendations of human body quantity Type, while in different classes of service in the service content subdata base matched with the current finger print data age level Hold, pushed；
(5.1) coordinate for entering human body in opposite detection zone is calculated：
Known A (x1, y1) is the position coordinates of the first infrared sensor, and B (x2, y2) is the position of the second infrared sensor Coordinate, D (x3, y3) is human body position coordinate, and C is position of human body in the first infrared sensor position and the second infrared sensing Vertical point on the connecting line of device position, length l (AB)=d, then learnt by coordinate relation between AB：
The angle value θ of ∠ DAB is obtained by the first infrared sensor again, the angle of ∠ DBA is obtained by the second infrared sensor Value Φ, it is assumed that l (AC)=d1, l (BC)=d2, l (CD)=h, then d1, d2 and h have following relation：
According to coordinate and triangle edge lengths relation：
Thus, the coordinate value of human body position coordinate D (x3, y3) is obtained；
The step is constantly repeated, the coordinate for entering all human bodies in opposite detection zone is obtained；
(5.2) quantity of the human body coordinate for obtaining, the human body quantity as in opposite detection zone are calculated；
(5.3) if human body quantity is more than 5, A class service content is pushed；Otherwise, B class service content is pushed.
The present embodiment forms opposite detection zone using two infrared sensors, and position of human body is accurately positioned, Static human body can be detected simultaneously by by two infrared sensors in opposite detection zone, according to two infrared sensors in itself The angular relationship of position and opposite detection zone can obtain human body coordinate information, according to the human body coordinate quantity for obtaining, statistics The human body quantity gone out in opposite detection zone.When typically number is more, when being greater than 5 people, can play and be suitable to The TV programme of many people's viewings, such as general entertainment programme, variety program etc.；And when fewer in number, these people can be played TV play, column interested etc..The present embodiment can be realized following the trail of the change of number in opposite detection zone, further according to How much is number, pushes the corresponding service content recommended and play, and makes the information exchange of Web TV more intelligent, more humane, enters One step improves Consumer's Experience.
Embodiment three：
The present embodiment is identical with the basic fundamental feature of embodiment one and two, and its difference is：
It is further comprising the steps of：
(6) Web TV application layer starts payment APP, and Web TV sends commands to mobile terminal, notifies that user enters Fingerprint collecting pattern, carries out fingerprint collecting and starts to send finger print data, network electricity by the fingerprint collecting unit of mobile terminal Started shooting by bluetooth depending on application layer and receive finger print data, finger print data is carried out with fingerprint template data by algorithm for recognizing fingerprint Characteristic matching, if the match is successful, performs payment process, otherwise, non-payment.
In the step (6), the algorithm for recognizing fingerprint specifically includes following steps：
(6.1) fingerprint image to finger print data is pre-processed；
(6.1.1) is normalized：The size of fingerprint image is represented with m*n, before pixel (i, j) treatment and after treatment Gray value represents that the normalization formula of fingerprint image is with S (i, j), G (i, j) respectively：
Wherein, M0It is specified gray level average, VAR0It is specified variance, M is that the gray level of pending fingerprint image is equal Value, VAR is the variance of pending fingerprint image；
(6.1.2) image filtering：Template is chosen, with each pixel as module centers, corresponding pixel in module is read Gray value；Grey scale pixel value is ranked up, the maximum, intermediate value and minimum value of every a line are obtained respectively, used respectively：MAX1、 MAX2, MAX3, MIN1, MIN2, MIN3, MED1, MED2, MED3, compare MAX1, MAX2, MAX3, obtain minimum M in_of_ Max；Compare MED1, MED2, MED3, obtain intermediate value Med_of_Med；Compare MIN1, MIN2, MIN3, take maximum Max_of_ Min；Compare Min_of_Ma, Med_of_Med, Max_of_Min again, the median for obtaining, the end product Med_ for as filtering Of_nine, corresponding pixel is assigned to by this result；
(6.1.3) binaryzation：4 pixels are taken on each direction of template, by calculating 8 the 32 of direction pixels Gray value carry out threshold value, judge P points be in wrinkle ridge or line paddy, with G (i, j) represent pixel (i, j) gray value, use D represents direction, uses SdRepresent the gray level sum of 4 pixels on dr directions, SminAnd SmaxRepresent the maximum on 8 directions Value and minimum value, Sd、SminAnd SmaxShown in equation below：
Smax=max (Sd)
Smin=min (Sd)；
Gray level is necessarily more than 32 averages of the gray level of point on this 8 directions, shown in equation below：
Meanwhile, the gray value sum S of 4 points along crestal line direction around the point on wrinkle ridgemaxAnd vertical line 4 value sum SminAverages of the average more than 32 points, shown in equation below：
Drawn with reference to above formula：
By the formula can accurately judge central point whether crestal line point；
(6.1.4) is refined：Judge that pixel is streakline boundary point；Calculate 8 sums of neighborhood territory pixel point：Judge the value of M whether between 2 and 6；Judge whether following condition is set up：M1*M3*M5=0 or M1* M3*M7=0；Judge whether following condition is set up：M3*M5*M7=0 or M1*M5*M7=0；If condition above completely into It is vertical, then delete pixel M, repeat the step, to image in non-boundary point all judged and compared；
(6.2) feature extraction is carried out to pretreated fingerprint image, the line of pretreated fingerprint image data is extracted To data, line is then extracted to the line of data to breakpoint data, then extract relative point data of the line to breakpoint data, then will Line is integrally formed current signature data to data, line to breakpoint data and relative point data three, and by the current characteristic Characteristic matching is carried out with the fingerprint template data in fingerprint database, if finding matching value, output matching result；Otherwise mistake Return.
In the present embodiment, the fingerprint grayscale image that the fingerprint collecting unit of mobile terminal is collected is often because finger The not equal factor of pressure cause that the grey level distribution for collecting image is very uneven, normalization be exactly by the gray scale of fingerprint image Level and contrast are all adjusted to a scope for the fixation being set by the user, for the image of subsequent treatment provides a gray scale Level, the specification of contrast.Image filtering step, removes some the noisy pixels in the fingerprint image after normalization, carries The accuracy and convenience of successive image treatment high.Be converted into fingerprint image by gray level 0 and 255 to represent by binaryzation Image.Former fingerprint image in processing procedure, it is necessary to storage information content it is too big, we process fingerprint image only have line paddy and Gray level can be set to 0 and 1 by the effective information of two kinds of wrinkle ridge, binaryzation, and making the contrast of fingerprint image strengthens, and make fingerprint special Levy and be apparent from.Using the matching way of dot pattern, characteristic point can be more accurately extracted by refinement, thinning algorithm should be protected Hold under original topological structure, width size is changed into a pixel.
Safety of payment is most important to user, the present embodiment by being pre-processed to fingerprint image after carry out feature again and carry Take and match, substantially increase the accuracy of fingerprint recognition, there is provided secure payment function, solve what payment process password was stolen Security hidden trouble, realizes safety, the payment of intelligence.
Fig. 1 is refer to, the embodiment of the present invention additionally provides the information exchange system based on Web TV for implementing the above method System, including mobile terminal and Web TV, the mobile terminal is for main by fingerprint collecting unit, bluetooth communication unit and power supply pipe The remote control of reason unit composition, wherein, the fingerprint collecting unit is used for the collection of user fingerprints, and the bluetooth communication unit is used to believe The transmission of breath；The Web TV includes host side and Web TV application layer, wherein, the Web TV is used to receive bluetooth communication The finger print data that unit is sended over, and it is transferred to Web TV application layer for users to use, it is provided with fingerprint in the host side Database and all ages and classes stage service content data storehouse, the fingerprint database are used to store the corresponding fingerprint mould of different user Plate data, all ages and classes stage service content data storehouse includes that juvenile stage service content subdata base is serviced with the adult phase Content subdata base；By bluetooth communication mode transmission information between the mobile terminal and Web TV.
The first infrared sensor is provided with the remote control, while being provided with the second infrared sensing in Web TV front end Device, first infrared sensor forms the first detection zone, and second infrared sensor forms the second detection zone, first inspection Survey the region opposite detection zone of formation relative with the second detection zone.
Emphasis of the invention is essentially consisted in：
(1) analyzed by big data is carried out to the content that different age group user often operates according to hobby and custom Analytic statistics, forms the corresponding service content of different age group fingerprint user, and uses fingerprint area partitioning, distinguishes use The age level (juvenile stage, adult phase) at family, and then at applied host machine end (Web TV) according to the age level of user, Realize to the push function of all ages and classes stage respective service content, the method that age level is judged according to fingerprint, accurately, soon Speed, greatly improves the intelligent and convenience of the information exchange of Web TV, improves Consumer's Experience.
(2) opposite detection zone is formed using two infrared sensors, to static people's position in opposite detection zone Put and be accurately positioned, the angular relationship according to two infrared sensors position and opposite detection zone in itself can obtain human body Coordinate information, and the human body quantity in opposite detection zone, and number quantity are counted, corresponding service content is played, Make the information exchange of Web TV more intelligent, it is more humane, further improve Consumer's Experience.
(3) fingerprint identification technology is introduced into blue Tooth remote controller, is accustomed to for Web TV usage scenario and customer consumption Demand, there is provided secure payment function, by being pre-processed to fingerprint image after carry out feature extraction and matching again, greatly improve The accuracy of fingerprint recognition, there is provided secure payment function, solves the security hidden trouble that payment process password is stolen, and realizes The payment of safety, intelligence.
The above, is only presently preferred embodiments of the present invention, and not technical scope of the invention is imposed any restrictions, Therefore technical characteristic identical with the above embodiment of the present invention or approximate is used, within protection scope of the present invention.

Claims (9)

1. a kind of information interacting method based on Web TV, it is characterised in that comprise the following steps：
(1) information interaction system, including mobile terminal and Web TV are preset, the mobile terminal is for main by fingerprint collecting list The remote control of unit, bluetooth communication unit and PMU composition, the Web TV includes host side and Web TV application Layer, is provided with fingerprint database and all ages and classes stage service content data storehouse, all ages and classes stage service in the host side Content data base includes juvenile stage service content subdata base and adult phase service content subdata base, the mobile terminal with By bluetooth communication mode transmission information between Web TV；
(2) by different fingerprint template data pre-storage to fingerprint databases, and default juvenile stage finger-print region area is Sn, Adult phase finger-print region area is So, preset fingerprint data row average value AVG1 and finger print data column average value AVG2；Will be few The corresponding service content of finger print data in stage in year is saved in juvenile stage service content subdata base, by the finger of adult phase The corresponding service content of line data is saved in adult phase service content subdata base；
(3) current finger print data are gathered by the fingerprint collecting unit of remote control, by bluetooth communication unit by current finger print data The host side of Web TV is sent to, host side is judged the corresponding age level of current finger print data：
(3.1) according to fingerprint physical location, current finger print data are stored in buff [i] [j] according to the mode of ranks, i tables Show row, j represents row；
(3.2) finger print data buff [i] [j] carries out efficiency frontier treatment extraction：
Extract (3.2.1) coboundary：Centered on C=j/2, the finger print data of line c is taken, obtain the average value avg_ of the row Value1=(∑ buff [C] [0]-buff [C] [i])/i；Then, the difference sub1 of the row data and row average value AVG1 is carried out =avg_value1-AVG1；If sub1 be more than 0, it is not upper boundary values that this is capable, then repeat the step, judge successively C-1, Whether row is upper boundary values, and the upper boundary values that will determine that out are demarcated as CH for C-2, C-3, C-n (n maximums are C)；
(3.2.2) lower boundary is extracted：Centered on C=j/2, the finger print data of line c is taken, obtain the average value avg_ of the row Value2=(∑ buff [C] [0]-buff [C] [i])/i, then, carries out the difference sub2 of the row data and row average value AVG1 =avg_value 2-AVG1；If sub2 be more than 0, it is not lower border value that this is capable, then repeat the step, judge successively C+1, Whether row is lower border value, and the upper boundary values that will determine that out are demarcated as CL for C+2, C+3, C+n (n maximums are C)；
(3.2.3) left margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value avg_ of the row Value3=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference sub3 of the column data and column average value AVG2 is carried out =avg_value3-AVG2；If sub3 be more than 0, the row are not left boundary values, then repeat the step, judge successively R-1, Whether R-2, R-3, R-n (n maximum R) row are left boundary value, and the left boundary value that will determine that out is demarcated as RH；
(3.2.4) right margin is extracted：Centered on R=i/2, the finger print data of R row is taken, obtain the average value avg_ of the row Value4=(∑ buff [R] [0]-buff [R] [j])/j；Then, the difference sub4 of the column data and column average value AVG2 is carried out =avg_value 4-AVG2；If sub4 is more than 0, illustrate that the row are not right boundary values, then repeat the step, R+ is judged successively 1st, R+2, R+3, R+n row (n maximums be R) whether right boundary value, and the right boundary value that will determine that out is demarcated as RL；
(3.3) RL is demarcated as according to upper boundary values CH, upper boundary values CL, left boundary value RH and the right boundary value for obtaining, has been asked for The finger-print region S=(CL-CH) of effect) X (RL-RH)；
(3.4) finger-print region S is carried out with juvenile stage finger-print region area Sn and adult phase finger-print region area So respectively Compare, if △ S=S-Sn>0, then the age level of the corresponding user of the current finger print data is the adult phase, is otherwise teenager Stage；
(4) Web TV application layer shows that the age level corresponding to the current finger print data is corresponding by application scenarios APP Service content in service content data storehouse, if the age level corresponding to current finger print data is adult phase, applied field Service content in scape APP display adult phase service content subdata bases, otherwise, shows juvenile stage service content subdata Service content in storehouse.
2. the information interacting method based on Web TV according to claim 1, it is characterised in that in the step (1) In, one first infrared sensor is provided with the remote control, while being provided with one second infrared sensing in Web TV front end Device, first infrared sensor forms the first detection zone, and second infrared sensor forms the second detection zone, first inspection The region opposite detection zone of formation relative with the second detection zone is surveyed, for perceiving the quantity of personnel in opposite detection zone.
3. the information interacting method based on Web TV according to claim 2, it is characterised in that in the step (2) In, the service content in juvenile stage service content subdata base and adult phase service content subdata base is divided respectively Class, is divided into A classes service content and B class service content；
It is further comprising the steps of：
(5) human body quantity of the detection in opposite detection zone, and according to how much selection content recommendation types of human body quantity, Different classes of service content in the service content subdata base for matching with the current finger print data age level simultaneously, enters Row is pushed；
(5.1) coordinate for entering human body in opposite detection zone is calculated：
Known A (x1, y1) is the position coordinates of the first infrared sensor, and B (x2, y2) is that the position of the second infrared sensor is sat Mark, D (x3, y3) is human body position coordinate, and C is position of human body in the first infrared sensor position and the second infrared sensor Vertical point on the connecting line of position, length l (AB)=d, then learnt by coordinate relation between AB：
d = ( ( x 1 - x 2 ) 2 - ( y 1 - y 2 ) 2 )
The angle value θ of ∠ DAB is obtained by the first infrared sensor again, the angle value Φ of ∠ DBA is obtained by the second infrared sensor, Assuming that l (AC)=d1, l (BC)=d2, l (CD)=h, then d1, d2 and h have following relation：
According to coordinate and triangle edge lengths relation：
l ( A D ) = d 1 2 + h 2 l ( B D ) = d 2 2 + h 2 l ( A D ) = ( x 3 - x 1 ) 2 + ( y 3 - y 1 ) 2 l ( B D ) = ( x 3 - x 2 ) 2 - ( y 3 - y 2 ) 2
Thus, the coordinate value of human body position coordinate D (x3, y3) is obtained；
The step is constantly repeated, the coordinate for entering all human bodies in opposite detection zone is obtained；
(5.2) quantity of the human body coordinate for obtaining, the human body quantity as in opposite detection zone are calculated；
(5.3) if human body quantity is more than 5, A class service content is pushed；Otherwise, B class service content is pushed.
4. the information interacting method based on Web TV according to claim 1, it is characterised in that in the step (2) In, the pre-storage method of the fingerprint template data is：Start finger-print cipher and APP is set, user interface prompt user enters fingerprint Typing pattern, gathers finger print data, and send out finger print data by bluetooth communication unit by the fingerprint collecting unit of remote control Send finger-print cipher back to and APP is set, feature extraction is carried out by algorithm for recognizing fingerprint, obtain fingerprint template data and store.
5. the information interacting method based on Web TV according to claim 4, it is characterised in that the feature extraction Specific method is：The line of the data that take the fingerprint extracts line to data, then to the line of data to breakpoint data, then extract line to The relative point data of breakpoint data, is then integrally formed feature to breakpoint data to data, line by line with relative point data three Data.
6. the information interacting method based on Web TV according to claim 1, it is characterised in that also including following step Suddenly：
(6) Web TV application layer starts payment APP, and Web TV sends commands to mobile terminal, notifies that user enters fingerprint Drainage pattern, carries out fingerprint collecting and starts to send finger print data by the fingerprint collecting unit of mobile terminal, and Web TV should Started shooting by bluetooth with layer and receive finger print data, finger print data and fingerprint template data are carried out by feature by algorithm for recognizing fingerprint Matching, if the match is successful, performs payment process, otherwise, non-payment.
7. the information interacting method based on Web TV according to claim 6, it is characterised in that in the step (6) In, the algorithm for recognizing fingerprint specifically includes following steps：
(6.1) fingerprint image to finger print data is pre-processed；
(6.1.1) is normalized：The size of fingerprint image represents with m*n, the gray scale before pixel (i, j) treatment and after treatment Value represents that the normalization formula of fingerprint image is with S (i, j), G (i, j) respectively：
G ( i , j ) = M 0 - VAR 0 × ( S ( i , j ) - M ) 2 V A R M 0 + VAR 0 × ( S ( i , j ) - M ) 2 V A R
Wherein, M0It is specified gray level average, VAR0It is specified variance, M is the gray level average of pending fingerprint image, VAR is the variance of pending fingerprint image；
M = 1 m × n Σ i = 0 m - 1 Σ j = 0 n - 1 S ( i , j ) ;
V A R = 1 m × n Σ i = 0 m - 1 Σ j = 0 n - 1 ( S ( i , j ) - M ) 2 ;
(6.1.2) image filtering：Template is chosen, with each pixel as module centers, corresponding pixel grey scale in module is read Value；Grey scale pixel value is ranked up, the maximum, intermediate value and minimum value of every a line are obtained respectively, used respectively：MAX1、MAX2、 MAX3, MIN1, MIN2, MIN3, MED1, MED2, MED3, compare MAX1, MAX2, MAX3, obtain minimum M in_of_Max；Than Compared with MED1, MED2, MED3, intermediate value Med_of_Med is obtained；Compare MIN1, MIN2, MIN3, take maximum Max_of_Min；Again Compare Min_of_Ma, Med_of_Med, Max_of_Min, the median for obtaining, the end product Med_of_ for as filtering Nine, corresponding pixel is assigned to by this result；
(6.1.3) binaryzation：4 pixels are taken on each direction of template, by calculating 8 ashes of the 32 of direction pixels Angle value carrys out threshold value, judges that P points are the gray values for representing pixel (i, j) with G (i, j) in wrinkle ridge or line paddy, uses d tables Show direction, use SdRepresent the gray level sum of 4 pixels on dr directions, SminAnd SmaxRepresent the maximum on 8 directions And minimum value, Sd、SminAnd SmaxShown in equation below：
S d = Σ i = 1 4 P d i
Smax=max (Sd)
Smin=min (Sd)；
Gray level is necessarily more than 32 averages of the gray level of point on this 8 directions, shown in equation below：
G ( i , j ) > 1 32 Σ d = 1 8 S d ;
Meanwhile, the gray value sum S of 4 points along crestal line direction around the point on wrinkle ridgemaxAnd 4 of vertical line Value sum SminAverages of the average more than 32 points, shown in equation below：
1 8 ( S m a x + S m i n ) > 1 32 Σ d = 1 8 S d ;
Drawn with reference to above formula：
By the formula can accurately judge central point whether crestal line point；
(6.1.4) is refined：Judge that pixel is streakline boundary point；Calculate 8 sums of neighborhood territory pixel point：Sentence Whether the value of disconnected M is between 2 and 6；Judge whether following condition is set up：M1*M3*M5=0 or M1*M3*M7=0；Judge Whether following condition is set up：M3*M5*M7=0 or M1*M5*M7=0；If condition above is set up completely, pixel is deleted M, repeat the step, to image in non-boundary point all judged and compared；
(6.2) feature extraction is carried out to pretreated fingerprint image, the line of pretreated fingerprint image data is extracted to number According to, then extract line to the line of data to breakpoint data, then extract relative point data of the line to breakpoint data, then by line to Data, line are integrally formed current signature data to breakpoint data with relative point data three, and by the current characteristic and refer to Fingerprint template data in line database carry out characteristic matching, if finding matching value, output matching result；Otherwise mistake is returned Return.
8. the information interaction system based on Web TV of the claim any methods describeds of 1-7 is implemented, it is characterised in that including Mobile terminal and Web TV, the mobile terminal is for main by fingerprint collecting unit, bluetooth communication unit and PMU The remote control of composition, wherein, the fingerprint collecting unit is used for the collection of user fingerprints, and the bluetooth communication unit is used for the biography of information It is defeated；The Web TV includes host side and Web TV application layer, wherein, the Web TV is used to receive bluetooth communication unit hair The finger print data brought, and it is transferred to Web TV application layer for users to use, it is provided with fingerprint database in the host side With all ages and classes stage service content data storehouse, the fingerprint database is for storing the corresponding fingerprint template number of different user According to all ages and classes stage service content data storehouse includes juvenile stage service content subdata base and adult phase service content Subdata base；By bluetooth communication mode transmission information between the mobile terminal and Web TV.
9. the information interacting method based on Web TV according to claim 8, it is characterised in that set on the remote control The first infrared sensor is equipped with, while Web TV front end is provided with the second infrared sensor, the first infrared sensor shape Into the first detection zone, second infrared sensor forms the second detection zone, first detection zone and the second detection zone It is relative to form opposite detection zone.
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Publication number Priority date Publication date Assignee Title
CN108491464A (en) * 2018-03-05 2018-09-04 广东小天才科技有限公司 A kind of content delivery method and system based on personal recognition
CN110401862A (en) * 2019-04-22 2019-11-01 杨娟 Electronic equipment real-time selection system

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