CN101719199A - Device and method used for digital home identity multi-recognition - Google Patents
Device and method used for digital home identity multi-recognition Download PDFInfo
- Publication number
- CN101719199A CN101719199A CN200910194180A CN200910194180A CN101719199A CN 101719199 A CN101719199 A CN 101719199A CN 200910194180 A CN200910194180 A CN 200910194180A CN 200910194180 A CN200910194180 A CN 200910194180A CN 101719199 A CN101719199 A CN 101719199A
- Authority
- CN
- China
- Prior art keywords
- module
- user
- fingerprint
- recognition
- voice
- 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
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 108
- 238000012549 training Methods 0.000 claims description 25
- 238000012217 deletion Methods 0.000 claims description 23
- 230000037430 deletion Effects 0.000 claims description 23
- 238000000605 extraction Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 13
- 230000008030 elimination Effects 0.000 claims description 8
- 238000003379 elimination reaction Methods 0.000 claims description 8
- 239000000284 extract Substances 0.000 claims description 8
- 230000009977 dual effect Effects 0.000 claims description 4
- 238000012795 verification Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 14
- 230000008676 import Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 6
- 238000012790 confirmation Methods 0.000 description 5
- 230000003044 adaptive effect Effects 0.000 description 3
- 238000013475 authorization Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- YMHOBZXQZVXHBM-UHFFFAOYSA-N 2,5-dimethoxy-4-bromophenethylamine Chemical compound COC1=CC(CCN)=C(OC)C=C1Br YMHOBZXQZVXHBM-UHFFFAOYSA-N 0.000 description 1
- 241000545067 Venus Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The invention discloses a device and a method used for digital home identity multi-recognition. The device comprises a user operation device, a voice recognition device, a fingerprint recognition device, and a data processing module; wherein the user operation device is used for acquiring operation information input by a user; the voice recognition device is used for acquiring background sound input information and user voice input information and carrying out background sound removal after the user operation device acquires the operation information input by the user, carrying out voice recognition on the acquired voice information, and sending an recognized result of the voice to the fingerprint recognition device and the data processing module; the finger print recognition device is used for collecting user fingerprint information and extracting a characteristic value for recognition after the recognition result of the voice recognition device is positive verification, and sending a recognized result of the fingerprint to the data processing module; and the data processing module is used for carrying out different processing based on the recognition results of the voice recognition device and the fingerprint recognition device. The invention can realize the identity recognition in a digital home more safely and effectively.
Description
Technical field
The invention belongs to digital home's information security field, particularly relate to a kind of device and method that is used for digital home identity multi-recognition.
Background technology
From the birth of digital home's notion in 1994, to the formal startup in digital home market today; From the release of " Venus " plan, to the establishment of UPnP forum, DLNA digital home tissue, go through ten surplus year development, the digitizing life has been stepped into real period of expansion, digital home network from we near again a step.
Along with the development of digital home network, the various household electrical appliance in the family no longer are to work independently of one another, but shared data and collaborative work mutually.Communication between the various device is frequent more, and message exchange is complicated more, and integrated level is more and more higher, just may be because illegal invasion or sabotage the loss of the property that causes family, so user identity identification is very important.And traditional identification mode can not meet the demands far away owing to its intrinsic limitation, key, card and I.D. etc. are lost easily and are copied, password is then forgotten easily, even more serious is that these tional identification modes can't be distinguished real owner and the jactitator who obtains the identify label thing, in case other people have obtained these identify label things, just can have identical power.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of apparatus and method that are used for digital home identity multi-recognition, can the safer and effective identification that realizes in the digital home.
Technical scheme provided by the invention is as follows:
The invention provides a kind of device that is used for digital home identity multi-recognition:
Comprise speech recognition equipment, fingerprint identification device, data processing module and user's operating means;
Described user's operating means is used to obtain the operation information of user's input;
Described speech recognition equipment, be used for after described user's operating means obtains the operation information of user's input, obtain background sound input information and user speech input information and carry out the background sound elimination, the voice messaging that obtains is carried out speech recognition, the recognition result of voice is sent to fingerprint identification device and data processing module;
Described fingerprint identification device is used for according to the recognition result of described speech recognition equipment gathering user fingerprints information and also extracting eigenwert and discern for after checking passes through, and the recognition result of fingerprint is sent to data processing module;
Described data processing module is used for carrying out different disposal according to the recognition result of described speech recognition equipment and described fingerprint identification device.
Preferably, described speech recognition equipment comprises voice acquisition module and speech processing module;
Described voice acquisition module adopts the dual microphone binary channels to obtain background sound input information and user speech input information voice;
Described speech processing module comprises background sound cancellation module, voice training module, sound identification module;
Described background sound cancellation module is used to finish background sound to be eliminated;
Described voice training module is used to carry out voice training;
Described sound identification module is used for the voice messaging that obtains is carried out speech recognition, and the recognition result of voice is sent to fingerprint identification device and data processing module.
Preferably, described fingerprint identification device comprises fingerprint collection module and Fingerprint Processing Module;
Described fingerprint collection module is used to gather the finger print information of input;
Described Fingerprint Processing Module comprises eigenwert extraction module and fingerprint identification module,
Described eigenwert extraction module is used for that the fingerprint that collects is carried out eigenwert and extracts,
Described fingerprint identification module is used to carry out eigenwert comparison and eigenwert work of treatment, and the result that will discern sends to described data processing module processing.
Preferably, described user's operating means comprises:
Function selection device is used to add the selection and the corresponding setting of user model, deletion user model and user EXEC;
Display module is used to provide the demonstration feedback information;
The sounding module is used to send the sound of prompting operation, operates guide for the user provides the user.
The invention provides a kind of method that is used for digital home identity multi-recognition:
Comprise speech recognition, fingerprint recognition and three processes of data processing;
Described speech recognition process comprises:
Background sound and user speech are carried out binary channels input and storage, two-way sound is carried out background sound eliminate, afterwards the voice messaging that obtains is carried out speech recognition, obtain the recognition result of voice;
Described fingerprint recognition process comprises:
Obtain the recognition result of voice, judge whether to start fingerprint recognition,, then gather fingerprint, and extract eigenwert and discern, obtain the recognition result of fingerprint if start according to recognition result;
Described index comprises according to processing procedure:
According to the result of described speech recognition and the result of described fingerprint recognition user's operation requests is responded, comprise the corresponding user of interpolation, deletion user and three kinds of operations of domestic consumer.
Preferably, described speech recognition, fingerprint recognition and three processes of data processing use speech recognition equipment, fingerprint identification device, data processing module to handle respectively.
Preferably, described speech recognition equipment comprises voice acquisition module and speech processing module;
Described voice acquisition module adopts the dual microphone binary channels to obtain background sound and user speech;
Described speech processing module comprises background sound cancellation module, voice training module, sound identification module;
Described background sound cancellation module is finished background sound and is eliminated;
Described voice training module is carried out voice training;
Described sound identification module carries out speech recognition to the voice messaging that obtains, and the recognition result of voice is sent to fingerprint identification device and data processing module.
Preferably, described fingerprint identification device comprises fingerprint collection module and Fingerprint Processing Module;
The finger print information of described fingerprint collection module collection input;
Described Fingerprint Processing Module comprises eigenwert extraction module and fingerprint identification module,
Described eigenwert extraction module carries out eigenwert to the fingerprint that collects and extracts,
Described fingerprint identification module carries out eigenwert comparison and eigenwert work of treatment, and the result that will discern sends to described data processing module processing.
From technique scheme as can be seen, the present invention has following beneficial effect:
Pass through the solution of the present invention, can be more effective identification in the realization digital home, in addition, the solution of the present invention has level of security height and advantage of high identification rate, and recognition accuracy can reach more than 99.9%, and speed responsive is very fast, less than 1 second, the user can not feel the time-delay of system basically, thereby reaches the purpose of checking at a high speed, improves the security and the integrality of digital home yet.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, 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 an apparatus structure synoptic diagram of the present invention.
Fig. 2 is the framework synoptic diagram of device of the present invention;
Fig. 3 is that the module in the device of the present invention cooperates synoptic diagram;
Fig. 4 A-Fig. 4 B is data processing of the present invention and user's operational flowchart;
Fig. 5 is a voice recognition processing process flow diagram of the present invention;
Fig. 6 is a fingerprint recognition processing flow chart of the present invention;
Fig. 7 is flow chart of data processing figure of the present invention.
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, those of ordinary skills belong to the scope of protection of the invention not making all other embodiment that obtained under the creative work prerequisite.
The invention provides a kind of apparatus and method that are used for digital home identity multi-recognition, can the safer and effective identification that realizes in the digital home.
Introduce technical solution of the present invention in detail below in conjunction with accompanying drawing.
Fig. 1 is an apparatus structure synoptic diagram of the present invention.
The device that is used for digital home identity multi-recognition of the present invention mainly comprises:
User's operating means, speech recognition equipment, fingerprint identification device and data processing module.
Wherein, user's operating means comprises: function selecting module, display module, sounding module; Speech recognition equipment comprises: voice acquisition module, speech processing module; Fingerprint identification device comprises: fingerprint collection module, Fingerprint Processing Module.
Function selecting module in user's operating means is finished user's function selecting work, and it comprises one group of function selecting button and select control module that select control module to send different selections according to the difference of button, the control data processing module is handled;
Display module in user's operating means comprises LCDs and one group of LED light, and it is used for user's content of operation and feedback information are shown.
Sounding module in user's operating means is made up of D/A converting circuit and loudspeaker, and it is used for voice suggestion user operation and speech prompting system state.
Speech recognition equipment comprises voice acquisition module and speech processing module.
Voice acquisition module in the speech recognition equipment is finished the collection work to voice.It comprises two input microphones and the simulating signal modular converter to digital signal, and the input signal of two microphones is assigned to buffer memory in the different passages.
Speech processing module in the speech recognition equipment comprises background sound cancellation module, voice training module, sound identification module and nonvolatile memory.Speech processing module receives the output of voice acquisition module, finishes background sound elimination, voice training, speech recognition work, will export as a result intersection number and handle according to processing module.
Fingerprint collection module in the fingerprint identification device comprises fingerprint capturer and buffer memory, finishes the fingerprint collecting function.
Fingerprint Processing Module in the fingerprint identification device comprises eigenwert extraction module and fingerprint identification module, be used for to the fingerprint that collects carry out that eigenwert is extracted, eigenwert comparison and eigenwert work of treatment, and intersection number as a result handled according to processing module.
The method that is used for digital home identity multi-recognition of the present invention mainly comprises:
Add the user by pressing " interpolation " button, LED lamp indication interpolation state, the user is added in the prompting of sounding module, data processing module is judged user right, the user's request that meets authority is responded, system enters the voice training pattern, and data processing module sends signal to sound identification module, sounding module prompting input voice.System adopts affirmation mechanism twice, and after prompt tone, the user is according to prompting input voice messaging, and the user imported voice messaging once more after system prompt was pointed out confirmation once more, and is successful as twice consistent system prompt of information, and voice messaging is stored.Next enters the fingerprint input pattern, sounding module prompting input finger print information, and the user imports finger print information, the system prompt confirmation, the user imports finger print information once more, and twice information is compared, comparison meets the requirements and points out the user success, and with the fingerprint characteristic information stores.System withdraws from the interpolation User Status.System's initial user starts the back mandatory requirement first by system and adds.
Enter User Status by pressing " user " button, the LED lamp was indicated User Status after system entered User Status, the screen display User Status, system accepts phonetic entry under this state, system's waiting status of when no phonetic entry, coming in and going out, after the user carries out phonetic entry, system carries out the binary channels stores synchronized with voice messaging and another road background sound voice messaging that collects, give the background sound cancellation module with two-way information and carry out the elimination of adaptive background sound, information behind the elimination background sound is discerned by sound identification module, then point out the user to import finger print information as successfully discerning, after the user imports finger print information with the comparison of the fingerprint characteristic value of fingerprint characteristic value information and storage, with the comparison result intersection number according to processing module.Data processing module is handled the result, and failure then points out the user illegal as comparison result, as compares success and then point out the user to pass through checking, shows welcome message.
Enter the deletion User Status by pressing " deletion " button, the deletion LED light was bright after system entered the deletion User Status, sounding module prompting deletion user.System start-up sound identification module and fingerprint identification module verify that to user identity verification method is with the process of " user " state.After the checking active user is legal, all users of the current system of screen display, the user selects according to last select button, and current selection user's voice information is read aloud in an every choosing then sounding module, and the user finishes user's deletion by pressing " deletion " button.System rests on the deletion User Status, up to pressing other state selector buttons.
Below be described in further detail.
Fig. 2 has showed the part frame of device.Comprise among Fig. 2: LCDs 1, user's operation push-button 2, sounding module 3, LED light 4, fingerprint identification device 5, background sound receive microphone 6, user speech receives microphone 7.
Fig. 3 is that the module in the device of the present invention cooperates synoptic diagram.
Speech processing module in the speech recognition equipment comprises background sound cancellation module, voice training module, sound identification module.
Fingerprint identification device comprises fingerprint collection module and Fingerprint Processing Module, and fingerprint collection module wherein comprises fingerprint capturer and buffer memory, finishes the fingerprint collecting function; Fingerprint Processing Module comprises eigenwert extraction module and fingerprint identification module, and the eigenwert extraction module carries out eigenwert to the fingerprint that collects and extracts; Fingerprint identification module is used to carry out eigenwert comparison and eigenwert work of treatment, and intersection number is as a result handled according to processing module.
Among the figure, comprise voice two-way input microphone, be that background sound receives microphone, user speech receives microphone, also comprise eigenwert extraction module and fingerprint identification module, data processing module, sounding module and display module in background sound cancellation module, sound identification module, voice training module, fingerprint collection module, the Fingerprint Processing Module among the figure.
In addition, these modules link to each other the information of their output by sounding module output with the sounding module, and these modules link to each other with display module simultaneously, the synchronous Presentation Function of realization information.
With reference to Fig. 4 A, the user adds button transmission interpolation user message to data processing module by pressing, data processing module sends instructions to display module and sounding module, LED lamp indication interpolation state, the user is added in the prompting of sounding module, data processing module sends feedback information, start the user right review step, require user input voice information, start sound identification module, identification starts fingerprint identification module by the back, if sound identification module and fingerprint identification module have any one output recognition failures information then point out the user rs authentication failure information, data processing module sends feedback information to display module, transfers domestic consumer's state to.Data processing module is judged user right if sound identification module and fingerprint identification module all are proved to be successful the back, and the user's request that meets authority is responded, and system enters the voice training Mode A.
The user sends the deletion user message to data processing module by pressing the deletion user key-press, data processing module sends instructions to display module and sounding module, LED lamp indication deletion User Status, sounding module prompting deletion user, data processing module sends feedback information and starts the user right review step, and checking process is as described in preceding interpolation user's the process.Examine successfully, display module is listed all users, and the user selects B by button.
The user sends domestic consumer's message to data processing module by pressing domestic consumer's button, data processing module sends instructions to display module and sounding module, LED lamp indication domestic consumer state, data processing module sends feedback information and starts sound identification module circular wait user input voice, the user successfully imports the laggard lang sound identification of voice, discern and successfully transmit a signal to data processing module, data processing module starts fingerprint identification module, the user carries out fingerprint recognition after importing fingerprint, and fingerprint recognition success back sends identification and arrives data processing module by signal.If sound identification module and fingerprint identification module have any one output recognition failures information then point out the user rs authentication failure information, system returns domestic consumer's state and continues the waiting voice input.
Adopt affirmation mechanism twice with reference to Fig. 4 B voice training module, after Subscriber Alerting Signal is added in the prompting of sounding module, the user is according to prompting input voice messaging,, voice messaging sends signal enabling fingerprint collection module if importing successfully, sounding module prompting input finger print information, the user imports finger print information, import successfully then sounding module prompting input user right as fingerprint, the system wait user imports user right, user right is divided into 1,2,3 Three Estates to be imported by operation push-button, and success back system withdraws from and adds User Status commentaries on classics domestic consumer state.Then reenter the voice training module as the phonetic entry failure, then require to re-enter fingerprint as fingerprint input failure.System's initial user starts the back mandatory requirement first by system and adds (singly not listing).
After the deletion user operated in the user and selects to wait to delete user B, the system prompt confirmation was confirmed deletion as the user, and system judges whether time to be last user, if for last user then refuse deletion, sent cancelling signal to data processing module.As not being that last user then deletes the user, concurrent one-tenth function signal is to data processing centre (DPC), and system forwards to and shows whole user list states.If the user unerases, then send cancelling signal midway to data processing module.
With reference to Fig. 5, the signal that data processing module sends, signal are divided into voice training and speech recognition.After entering the voice training module, system prompt input voice, the user is according to prompting input voice messaging, and the voice messaging of input and background sound information enter the background sound cancellation module and carry out the elimination of adaptive background sound, and the voice after handling are stored temporarily; The system prompt confirmation, the user imports voice messaging once more, and after background sound was eliminated, as twice consistent system prompt success of information comparison, and the voice messaging of (elimination background sound) was stored after will handling, and will become function signal to be sent to data processing module.Import between speech period as the 5 seconds system's meeting prompt timeouts of keeping silent, and will point out the user to re-enter voice messaging, system accepts the user speech input again.
After entering sound identification module, system prompt input voice, the voice messaging of input and background sound information enter the background sound cancellation module and carry out the elimination of adaptive background sound, the user voice tabulation of the sound after the processing and system's storage is mated, the match is successful sends into function signal to data processing module, and it fails to match sends failure signal to data processing module.
With reference to Fig. 6, the signal that data processing module sends, signal are divided into fingerprint input and fingerprint recognition.When signal is the fingerprint input, enter the fingerprint collection module, system prompt input fingerprint, the user is according to prompting input finger print information, the finger print information of fingerprint collection module collection input enters the eigenwert extraction module then and carries out the eigenwert extraction, will handle the back finger print data and store temporarily; The system prompt confirmation, the user imports finger print information once more, extract the consistent system prompt success of twice information comparison in back as eigenwert, and will handle back (extraction eigenwert) finger print information and store (storage organization and voice messaging are corresponding one by one), will become function signal to be sent to data processing module.Keep 5 seconds not input state system meeting prompt timeouts during the input fingerprint, and will point out the user to re-enter finger print information, system accepts the user fingerprints input again.
When signal is fingerprint recognition, system prompt input fingerprint, fingerprint by fingerprint collection module collection input, the eigenwert extraction module carries out the eigenwert extraction then, the user characteristics value finger print information of the eigenwert finger print information after fingerprint identification module will be handled and system's storage mates, and the match is successful sends into function signal to data processing module, and it fails to match sends failure signal to data processing module.
With reference to Fig. 7, shown data processing module deal with data flow process.Data processing module receives the signal from the user imports and system is imported into.Signal is divided into interpolation user, deletion user, domestic consumer and authorization information.Authorization information is divided into speech verification information and fingerprint authentication information again.After receiving the interpolation user message, data processing module sends and starts certificate message, and waits for the authentication feedback.Behind the authentication feedback success message, data processing module sends and starts the voice training module by signal, waiting voice training module feedback, feeding back successfully, the back data processing module sends startup fingerprint input signal to the fingerprint collection module, and wait for that the fingerprint collection module feeds back, data processing module waited for whether user's input continues interpolation and be used for message after the fingerprint collection module fed back successfully, as continue to add and then enter the voice training module once more, then send the normal state signal as not adding, system changes normal state.
Data processing module is after receiving the deletion user message, send the checking subscriber signal, start subscriber authentication, wait subscriber authentication feedback, after feeding back successfully, start the deletion user, wait for the deletion user feedback, feed back successfully to send and show that used user list message, feeding back unsuccessful send commentaries on classics normal state signal.
Data processing module sends domestic consumer's signal after receiving domestic consumer's message, system is the input of circular wait user speech under this state, then enters authentication if any input.
Data processing module carries out following reaction after receiving the feedback of authentication:
If feedback signal is the speech verification success then sends startup fingerprint authentication signal, start fingerprint authentication, be that the speech verification failure then sends the authentication failure signal as feedback signal, system changes domestic consumer's state and continues waiting voice input.If feedback signal is fingerprint authentication success then sends authentication and become function signal, exports as final system.If feedback signal is the fingerprint authentication failure signal then sends the authentication failure signal that system changes domestic consumer's state and waits for user's input.
In sum, pass through the solution of the present invention, can be more effective identification in the realization digital home, in addition, the solution of the present invention has level of security height and advantage of high identification rate, recognition accuracy can reach more than 99.9%, and speed responsive is very fast, and less than 1 second, the user can not feel the time-delay of system basically, thereby reach the purpose of checking at a high speed, also improve the security and the integrality of digital home.
One of ordinary skill in the art will appreciate that all or part of step in the whole bag of tricks of the foregoing description is to instruct relevant hardware to finish by program, this program can be stored in the computer-readable recording medium, storage medium can comprise: ROM (read-only memory) (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.
More than a kind of device and method that is used for digital home identity multi-recognition that the embodiment of the invention provided is 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, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (8)
1. device that is used for digital home identity multi-recognition is characterized in that:
Comprise speech recognition equipment, fingerprint identification device, data processing module and user's operating means;
Described user's operating means is used to obtain the operation information of user's input;
Described speech recognition equipment, be used for after described user's operating means obtains the operation information of user's input, obtain background sound input information and user speech input information and carry out the background sound elimination, the voice messaging that obtains is carried out speech recognition, the recognition result of voice is sent to fingerprint identification device and data processing module;
Described fingerprint identification device is used for according to the recognition result of described speech recognition equipment gathering user fingerprints information and also extracting eigenwert and discern for after checking passes through, and the recognition result of fingerprint is sent to data processing module;
Described data processing module is used for carrying out different disposal according to the recognition result of described speech recognition equipment and described fingerprint identification device.
2. the device that is used for digital home identity multi-recognition according to claim 1 is characterized in that:
Described speech recognition equipment comprises voice acquisition module and speech processing module;
Described voice acquisition module adopts the dual microphone binary channels to obtain background sound input information and user speech input information voice;
Described speech processing module comprises background sound cancellation module, voice training module, sound identification module;
Described background sound cancellation module is used to finish background sound to be eliminated;
Described voice training module is used to carry out voice training;
Described sound identification module is used for the voice messaging that obtains is carried out speech recognition, and the recognition result of voice is sent to fingerprint identification device and data processing module.
3. the device that is used for digital home identity multi-recognition according to claim 1 and 2 is characterized in that:
Described fingerprint identification device comprises fingerprint collection module and Fingerprint Processing Module;
Described fingerprint collection module is used to gather the finger print information of input;
Described Fingerprint Processing Module comprises eigenwert extraction module and fingerprint identification module,
Described eigenwert extraction module is used for that the fingerprint that collects is carried out eigenwert and extracts,
Described fingerprint identification module is used to carry out eigenwert comparison and eigenwert work of treatment, and the result that will discern sends to described data processing module processing.
4. the device that is used for digital home identity multi-recognition according to claim 3 is characterized in that:
Described user's operating means comprises:
Function selection device is used to add the selection and the corresponding setting of user model, deletion user model and user EXEC;
Display module is used to provide the demonstration feedback information;
The sounding module is used to send the sound of prompting operation, operates guide for the user provides the user.
5. method that is used for digital home identity multi-recognition is characterized in that:
Comprise speech recognition, fingerprint recognition and three processes of data processing;
Described speech recognition process comprises:
Background sound and user speech are carried out binary channels input and storage, two-way sound is carried out background sound eliminate, afterwards the voice messaging that obtains is carried out speech recognition, obtain the recognition result of voice;
Described fingerprint recognition process comprises:
Obtain the recognition result of voice, judge whether to start fingerprint recognition,, then gather fingerprint, and extract eigenwert and discern, obtain the recognition result of fingerprint if start according to recognition result;
Described index comprises according to processing procedure:
According to the result of described speech recognition and the result of described fingerprint recognition user's operation requests is responded, comprise the corresponding user of interpolation, deletion user and three kinds of operations of domestic consumer.
6. the method that is used for digital home identity multi-recognition according to claim 5 is characterized in that:
Described speech recognition, fingerprint recognition and three processes of data processing use speech recognition equipment, fingerprint identification device, data processing module to handle respectively.
7. the method that is used for digital home identity multi-recognition according to claim 6 is characterized in that:
Described speech recognition equipment comprises voice acquisition module and speech processing module;
Described voice acquisition module adopts the dual microphone binary channels to obtain background sound and user speech;
Described speech processing module comprises background sound cancellation module, voice training module, sound identification module;
Described background sound cancellation module is finished background sound and is eliminated;
Described voice training module is carried out voice training;
Described sound identification module carries out speech recognition to the voice messaging that obtains, and the recognition result of voice is sent to fingerprint identification device and data processing module.
8. the method that is used for digital home identity multi-recognition according to claim 6 is characterized in that:
Described fingerprint identification device comprises fingerprint collection module and Fingerprint Processing Module;
The finger print information of described fingerprint collection module collection input;
Described Fingerprint Processing Module comprises eigenwert extraction module and fingerprint identification module,
Described eigenwert extraction module carries out eigenwert to the fingerprint that collects and extracts,
Described fingerprint identification module carries out eigenwert comparison and eigenwert work of treatment, and the result that will discern sends to described data processing module processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910194180A CN101719199A (en) | 2009-11-26 | 2009-11-26 | Device and method used for digital home identity multi-recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910194180A CN101719199A (en) | 2009-11-26 | 2009-11-26 | Device and method used for digital home identity multi-recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101719199A true CN101719199A (en) | 2010-06-02 |
Family
ID=42433772
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910194180A Pending CN101719199A (en) | 2009-11-26 | 2009-11-26 | Device and method used for digital home identity multi-recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101719199A (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102522111A (en) * | 2011-12-28 | 2012-06-27 | 熊猫电子集团有限公司 | Recording and playing control circuit capable of speech recognition and fingerprint recognition |
| CN103295281A (en) * | 2012-02-29 | 2013-09-11 | 深圳光启创新技术有限公司 | Light-operated lock system and implementation method thereof |
| CN103761463A (en) * | 2014-01-13 | 2014-04-30 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN103761671A (en) * | 2013-11-26 | 2014-04-30 | 西安恒飞电子科技有限公司 | Stock machine identity recognition method |
| CN104331652A (en) * | 2014-10-08 | 2015-02-04 | 无锡指网生物识别科技有限公司 | Dynamic cipher generation method for electronic equipment for fingerprint and voice recognition |
| CN104331651A (en) * | 2014-10-08 | 2015-02-04 | 无锡指网生物识别科技有限公司 | Fingerprint- and voice recognition-based control system and equipment |
| CN104809785A (en) * | 2015-04-24 | 2015-07-29 | 成都腾悦科技有限公司 | Access control system based on voice recognition and fingerprint recognition |
| CN104835231A (en) * | 2015-05-25 | 2015-08-12 | 郭萌 | Face recognition lockset |
| CN104835232A (en) * | 2015-05-25 | 2015-08-12 | 郭萌 | Voice-control lock |
| CN104834850A (en) * | 2015-04-15 | 2015-08-12 | 何邦君 | Fingerprint button device and control method adopting fingerprint button device |
| CN104835221A (en) * | 2015-04-24 | 2015-08-12 | 成都腾悦科技有限公司 | Entrance guard control method based on voice recognition and fingerprint recognition |
| CN105427866A (en) * | 2015-10-29 | 2016-03-23 | 北京云知声信息技术有限公司 | Voice processing method and device, and pickup circuit |
| WO2017071453A1 (en) * | 2015-10-28 | 2017-05-04 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for voice recognition |
| CN107584490A (en) * | 2017-09-27 | 2018-01-16 | 安徽硕威智能科技有限公司 | Robot automatically wakes up system |
| CN109243439A (en) * | 2018-09-17 | 2019-01-18 | 华中科技大学同济医学院附属协和医院 | The voice operating method of novel medical treatment bed |
| CN109618314A (en) * | 2018-11-19 | 2019-04-12 | 中国地质大学（武汉） | A kind of expansible identity identifying method based on environment sensing and bio-identification |
-
2009
- 2009-11-26 CN CN200910194180A patent/CN101719199A/en active Pending
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102522111A (en) * | 2011-12-28 | 2012-06-27 | 熊猫电子集团有限公司 | Recording and playing control circuit capable of speech recognition and fingerprint recognition |
| CN103295281A (en) * | 2012-02-29 | 2013-09-11 | 深圳光启创新技术有限公司 | Light-operated lock system and implementation method thereof |
| CN103761671A (en) * | 2013-11-26 | 2014-04-30 | 西安恒飞电子科技有限公司 | Stock machine identity recognition method |
| CN103761463A (en) * | 2014-01-13 | 2014-04-30 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104331652A (en) * | 2014-10-08 | 2015-02-04 | 无锡指网生物识别科技有限公司 | Dynamic cipher generation method for electronic equipment for fingerprint and voice recognition |
| CN104331651A (en) * | 2014-10-08 | 2015-02-04 | 无锡指网生物识别科技有限公司 | Fingerprint- and voice recognition-based control system and equipment |
| CN104834850A (en) * | 2015-04-15 | 2015-08-12 | 何邦君 | Fingerprint button device and control method adopting fingerprint button device |
| CN104809785A (en) * | 2015-04-24 | 2015-07-29 | 成都腾悦科技有限公司 | Access control system based on voice recognition and fingerprint recognition |
| CN104835221A (en) * | 2015-04-24 | 2015-08-12 | 成都腾悦科技有限公司 | Entrance guard control method based on voice recognition and fingerprint recognition |
| CN104835232A (en) * | 2015-05-25 | 2015-08-12 | 郭萌 | Voice-control lock |
| CN104835231A (en) * | 2015-05-25 | 2015-08-12 | 郭萌 | Face recognition lockset |
| CN104835232B (en) * | 2015-05-25 | 2018-02-27 | 安恒世通（北京）网络科技有限公司 | A kind of acoustic control lockset |
| WO2017071453A1 (en) * | 2015-10-28 | 2017-05-04 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for voice recognition |
| CN105427866A (en) * | 2015-10-29 | 2016-03-23 | 北京云知声信息技术有限公司 | Voice processing method and device, and pickup circuit |
| CN107584490A (en) * | 2017-09-27 | 2018-01-16 | 安徽硕威智能科技有限公司 | Robot automatically wakes up system |
| CN109243439A (en) * | 2018-09-17 | 2019-01-18 | 华中科技大学同济医学院附属协和医院 | The voice operating method of novel medical treatment bed |
| CN109618314A (en) * | 2018-11-19 | 2019-04-12 | 中国地质大学（武汉） | A kind of expansible identity identifying method based on environment sensing and bio-identification |
| CN109618314B (en) * | 2018-11-19 | 2020-02-14 | 中国地质大学（武汉） | Extensible identity authentication method based on environmental perception and biological recognition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101719199A (en) | Device and method used for digital home identity multi-recognition | |
| CN102842306B (en) | Sound control method and device, voice response method and device | |
| CN101866409B (en) | Method and device for locking and unlocking handheld equipment | |
| CN103236094A (en) | Door control system and method of unlocking door control equipment by mobile terminal | |
| CN109117235B (en) | A kind of business data processing method, device and relevant device | |
| CN102075601A (en) | Mobile phone speed dialing method based on fingerprint recognition | |
| CN103581722A (en) | Television remote control | |
| CN102752453A (en) | Mobile phone unlocking method based on voice recognition | |
| CN206522020U (en) | A kind of intelligent door lock and system | |
| CN106853640A (en) | Dispensing machine people control method and device, dispensing machine people and control system | |
| CN106127900A (en) | A kind of user identity comprehensive verification method for unlocking and device | |
| CN107436748A (en) | Handle method, apparatus, terminal device and the computer-readable recording medium of third-party application message | |
| CN106919867A (en) | Mobile terminal and its shutdown control method and device | |
| CN105245729A (en) | Message reading method and device for mobile terminal | |
| CN107948030A (en) | A kind of household audio control method based on cloud lock, system | |
| CN101917530A (en) | Telephone remote key-press and voice double mode controller | |
| CN100479563C (en) | System and method for self-making of the ring service | |
| CN103905636A (en) | Information processing method and electronic device | |
| CN106303015A (en) | Communication message processing method and device and terminal equipment | |
| CN205680160U (en) | A kind of Intelligent door lock control system | |
| CN111445909A (en) | Intelligent lock with voice control function and control method thereof | |
| CN109903755A (en) | Voice interaction method and device, storage medium and air conditioner | |
| CN102902907A (en) | Configuration method, configuration device and electronic device | |
| CN107967732A (en) | Intelligent door lock and voice method for burn-recording | |
| CN107070707A (en) | Router initializes the determination method and apparatus of pattern |
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 |
Open date: 20100602 |