CN101221612A - Method for enciphering and deciphering electric document file by face recognition - Google Patents
Method for enciphering and deciphering electric document file by face recognition Download PDFInfo
- Publication number
- CN101221612A CN101221612A CN 200710036375 CN200710036375A CN101221612A CN 101221612 A CN101221612 A CN 101221612A CN 200710036375 CN200710036375 CN 200710036375 CN 200710036375 A CN200710036375 A CN 200710036375A CN 101221612 A CN101221612 A CN 101221612A
- Authority
- CN
- China
- Prior art keywords
- face
- people
- electronic document
- characteristic vector
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Collating Specific Patterns (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a method of encrypting and decrypting an electronic document through face identification. According to the invention, face video data is collected; the face video data collected in the decryption process is compared with the face video data collected in the encryption process to see the degree of similarity between the data, thereby simply and rapidly carrying out encryption and decryption of the electronic document with easy acquisition. Because of the uniqueness of face characteristic information, the encryption and decryption method has higher safety, reliability and applicability.
Description
Technical field
The present invention relates to a kind of application of face identification method, relate in particular to a kind of method of utilizing recognition of face to carry out enciphering and deciphering electric document file.
Background technology
The classic method of electronic document being carried out encryption and decryption has two kinds: keyboard password and software protective lock.The shortcoming that keyboard password is encrypted is that keyboard password is stolen easily, perhaps oneself forgets Password sometimes and can't open the electronic document of encryption, and this type of encryption method is both dumb also dangerous.Software protective lock is exactly the EEPROM of read-write software protective lock, transforms out one and thinks available number, and the method that cracks is exactly to avoid the program of that section to the software cryptography latching operation.
Also have a kind of emerging encrypting fingerprint decryption method in addition, its shortcoming is to gather difficulty, all must dispose a special fingerprint capturer to every user, and is very inconvenient in the use, uses to have certain degree of difficulty.
Summary of the invention
The technical problem to be solved in the present invention provides that a kind of convenience is used and the method for enciphering and deciphering electric document file is carried out in the recognition of face that utilizes that is difficult for cracking.
For solving the problems of the technologies described above, the invention provides a kind of method of utilizing recognition of face to carry out the encrypted electronic document, it comprises the steps: the selected electronic document that needs encryption of a.; B. obtain the frame data of people's face video, and the video data that collects is arranged to the gray scale form; C. in the video data of gray scale form, detect people's face; D. accurately locate the position of part organ in people's face; E. according to the exact position of part organ in people's face, deduct people's face data, and make convergent-divergent, normalization people face size according to the size of people's face; F. normalized people's face is done pre-service; G. to doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of ciphering process, form the face characteristic vector and the name of ciphering process; H., the similarity threshold of face characteristic vector is set; I. with the face characteristic vector of ciphering process, the similarity threshold and encrypting storing, formation encrypted document and the name together of encrypted file of face characteristic vector.
The present invention also provides a kind of method of utilizing recognition of face to be decrypted electronic document, and it comprises the steps: the selected electronic document of encrypting and need deciphering through the described method of claim 1 of a.; B. obtain the frame data of people's face video, and the video data that collects is arranged to the gray scale form; C. in the video data of gray scale form, detect people's face; D. accurately locate the position of part organ in people's face; E. according to the exact position of part organ in people's face, deduct people's face data, and make convergent-divergent, normalization people face size according to the size of people's face; F. normalized people's face is done pre-service; G. to doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of decrypting process, form the face characteristic vector and the name of decrypting process; H. extract the face characteristic vector of the ciphering process in the encrypted electronic document, the similarity threshold of face characteristic vector; I. calculate the similarity of face characteristic vector of the face characteristic vector sum decrypting process of ciphering process; J. when the similarity that obtains during, extract the described document that needs deciphering, successful decryption greater than the similarity threshold of face characteristic vector; When the similarity that obtains during, do not extract the described document that needs deciphering, the deciphering failure less than the similarity threshold of face characteristic vector.
The present invention is because by gathering people's face video data, and the people's face video data that collects in the people's face video data that collects in the decrypting process and the ciphering process compared, similarity relatively, thus can add quickly and easily, deciphering electric document file and be easy to obtain; And the uniqueness of face characteristic information makes people's face encrypting and decrypting method have higher security, reliability, applicability.
Description of drawings
Fig. 1 is that the present invention utilizes recognition of face to carry out the process flow diagram of encrypted electronic document;
Fig. 2 is that the present invention utilizes recognition of face to be decrypted the process flow diagram of electronic document.
Embodiment
The present invention is further detailed explanation below in conjunction with accompanying drawing.
The present invention utilizes recognition of face to carry out the method for enciphering and deciphering electric document file, and electronic document is carried out method of encrypting as shown in Figure 1:
At first, open people's face encipheror, the electronic document that needs are encrypted adds in people's face encipheror; Open when encrypting, people's face encipheror calls and opens camera automatically, demonstrates the video information in the camera at this moment on the computer screen in people's face encipheror.
Next step detects the people's face in the camera video, and the people's face frame of video that is truncated to is stored in the tabulation of people's face.
Whether the user begins to detect the people's face frame of video that is truncated to and meets the requirements, and from sharpness, the similarity each side is considered, and rejects underproof people's face frame of video.When the not enough default required number of the number of the people's face frame of video that meets the demands, repeat above-mentioned steps and gather people's face frame of video once more, up to collecting abundant people's face frame of video.People's face frame of video number herein can be set in people's face encipheror in advance.
The video data that collects is arranged to the gray scale form, and the real people's face data that detect of beginning;
At first, utilize the Adaboost algorithm accurately to locate the coordinate (position) of the part organ in people's face data, described part organ can be eyes, nose or face.
According to the exact position of part organ in people's face, deduct people's face data, and the size of people's face is made convergent-divergent, make that the size normalizing of people's face is 64 * 88 sizes, we claim the people's face behind the normalizing to be called standard faces; Simultaneously standard faces is done pre-service;
To doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of ciphering process, form the face characteristic vector and the name of ciphering process;
The similarity threshold (there is a default setting in system, and the user can regulate the difficulty that this similarity threshold changes deciphering) of face characteristic vector is set;
Face characteristic vector, similarity threshold and the document that will encrypt are compressed packing together, form an encrypt file.
The present invention utilizes method that recognition of face is decrypted electronic document as shown in Figure 2, is decrypted operation to adopting the electronic document of described face identification method after encrypting, and comprises the steps:
The electronic document that selected needs are decrypted;
At first, open people's face decrypted program, utilize this moment recognition of face to carry out the electronic document that cryptographic operation crosses and be presented in described people's face encipheror, choose the program of required deciphering; Open when encrypting, people's face decrypted program calls and opens camera automatically, demonstrates the video information in the camera at this moment on the computer screen in people's face encipheror;
Next step detects the people's face in the camera video;
Obtain the frame data of people's face video, and the video data that collects is arranged to the gray scale form;
Accurately locate the position of the part organ in people's face data, described part organ can be eyes, nose or face;
According to the exact position of part organ in people's face, deduct people's face data, and make convergent-divergent, normalization people face size according to the size of people's face; Simultaneously normalized people's face is done pre-service;
To doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of decrypting process, form the face characteristic vector and the name of decrypting process;
The similarity threshold of the face characteristic vector of the ciphering process in the extraction encrypted electronic document, the face characteristic vector of ciphering process;
The similarity of the face characteristic vector of the face characteristic vector sum decrypting process of calculating ciphering process;
When the similarity that obtains during, extract the described document that needs deciphering, successful decryption greater than the similarity threshold of the face characteristic vector of ciphering process; When the similarity that obtains during, do not extract the described document that needs deciphering, the deciphering failure less than the similarity threshold of the face characteristic vector of ciphering process.
Claims (10)
1. utilize recognition of face to carry out the method for encrypted electronic document, it is characterized in that, comprise the steps:
A. the selected electronic document that needs encryption;
B. obtain the frame data of people's face video, and the video data that collects is arranged to the gray scale form;
C. in the video data of gray scale form, detect people's face;
D. accurately locate the position of part organ in people's face;
E. according to the exact position of part organ in people's face, deduct, and make convergent-divergent, normalization people face size according to the size of people's face into the face data;
F. normalized people's face is done pre-service;
G. to doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of ciphering process, form the face characteristic vector and the name of ciphering process;
H., the similarity threshold of face characteristic vector is set;
I. with the face characteristic vector of ciphering process, the similarity threshold and encrypting storing, formation encrypted document and the name together of encrypted file of face characteristic vector.
2. the method for utilizing recognition of face to carry out the encrypted electronic document according to claim 1 is characterized in that: the frame data that obtain people's face video among the described step b by camera.
3. the method for utilizing recognition of face to carry out the encrypted electronic document according to claim 1 is characterized in that: utilize the Adaboost algorithm to come to detect people's face among the described step c in the gray scale form.
4. the method for utilizing recognition of face to carry out the encrypted electronic document according to claim 1 is characterized in that: the part organ refers to eyes or nose or mouth in the described steps d.
5. the method for utilizing recognition of face to carry out the encrypted electronic document according to claim 1 is characterized in that: the pre-service among the described step f is an illumination compensation.
6. utilize recognition of face to be decrypted the method for electronic document, it is characterized in that, comprise the steps:
A. the selected electronic document of encrypting and need deciphering through the described method of claim 1;
B. obtain the frame data of people's face video, and the video data that collects is arranged to the gray scale form;
C. in the video data of gray scale form, detect people's face;
D. accurately locate the position of part organ in people's face;
E. according to the exact position of part organ in people's face, deduct people's face data, and make convergent-divergent, normalization people face size according to the size of people's face;
F. normalized people's face is done pre-service;
G. to doing the GABOR conversion through pretreated people's face data, project to PCA again, major component and linear discriminant analysis are carried out in the LDA space, obtain the face characteristic value of decrypting process, form the face characteristic vector and the name of decrypting process;
H. extract the face characteristic vector of the ciphering process in the encrypted electronic document, the similarity threshold of face characteristic vector;
I. calculate the similarity of face characteristic vector of the face characteristic vector sum decrypting process of ciphering process;
J. when the similarity that obtains during, extract the described document that needs deciphering, successful decryption greater than the similarity threshold of face characteristic vector; When the similarity that obtains during, do not extract the described document that needs deciphering, the deciphering failure less than the similarity threshold of face characteristic vector.
7. the method for utilizing recognition of face to be decrypted electronic document according to claim 6 is characterized in that: the frame data that obtain people's face video among the described step b by camera.
8. the method for utilizing recognition of face to be decrypted electronic document according to claim 6 is characterized in that: utilize the Adaboost algorithm to come to detect people's face among the described step c in the gray scale form.
9. the method for utilizing recognition of face to be decrypted electronic document according to claim 6 is characterized in that: the part organ refers to eyes or nose or mouth in the described steps d.
10. the method for utilizing recognition of face to be decrypted electronic document according to claim 6 is characterized in that: the pre-service among the described step f is an illumination compensation.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200710036375 CN101221612A (en) | 2007-01-11 | 2007-01-11 | Method for enciphering and deciphering electric document file by face recognition |
| PCT/CN2007/001951 WO2008083535A1 (en) | 2007-01-11 | 2007-06-21 | Method for encrypting/decrypting electronic document based on human face identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200710036375 CN101221612A (en) | 2007-01-11 | 2007-01-11 | Method for enciphering and deciphering electric document file by face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101221612A true CN101221612A (en) | 2008-07-16 |
Family
ID=39608326
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200710036375 Pending CN101221612A (en) | 2007-01-11 | 2007-01-11 | Method for enciphering and deciphering electric document file by face recognition |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN101221612A (en) |
| WO (1) | WO2008083535A1 (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101488172A (en) * | 2009-02-27 | 2009-07-22 | 上海凌锐信息技术有限公司 | Document handwriting encryption and decryption method and its application terminal |
| CN101958892A (en) * | 2010-09-16 | 2011-01-26 | 汉王科技股份有限公司 | Electronic data protection method, device and system based on face recognition |
| CN102622616A (en) * | 2012-02-14 | 2012-08-01 | 南昌航空大学 | Human face recognition method based on two-dimensional kernel principal component analysis and fuzzy maximum scatter difference |
| CN103065127A (en) * | 2012-12-30 | 2013-04-24 | 信帧电子技术（北京）有限公司 | Method and device for recognizing human face in fog day image |
| CN103116404A (en) * | 2013-02-25 | 2013-05-22 | 广东欧珀移动通信有限公司 | Face recognition unlocking method and mobile smart terminal |
| CN103380591A (en) * | 2011-02-22 | 2013-10-30 | 三菱电机株式会社 | Similarity calculation system, similarity calculation device, computer program, and similarity calculation method |
| CN103400082A (en) * | 2013-08-16 | 2013-11-20 | 中科创达软件股份有限公司 | File encryption/decryption method and system |
| CN103577764A (en) * | 2012-07-27 | 2014-02-12 | 国基电子（上海）有限公司 | Document encryption and decryption method and electronic device with document encryption and decryption function |
| CN103699893A (en) * | 2013-12-10 | 2014-04-02 | 柳州译海网络科技有限公司 | Face feature information collection device |
| CN105512599A (en) * | 2014-09-26 | 2016-04-20 | 数伦计算机技术（上海）有限公司 | Face identification method and face identification system |
| CN105574387A (en) * | 2015-06-16 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Information security processing method and user terminal |
| CN105760817A (en) * | 2016-01-28 | 2016-07-13 | 深圳泰首智能技术有限公司 | Method and device for recognizing, authenticating, unlocking and encrypting storage space by using human face |
| CN108038443A (en) * | 2017-12-08 | 2018-05-15 | 深圳泰首智能技术有限公司 | Witness the method and apparatus of service testing result |
| CN109359456A (en) * | 2018-09-21 | 2019-02-19 | 百度在线网络技术（北京）有限公司 | Method for managing security, device, equipment and the computer-readable medium of file |
| CN109543432A (en) * | 2018-11-23 | 2019-03-29 | 济南中维世纪科技有限公司 | Facial image encrypts anti-tamper and retrieval method in a kind of video |
| CN111372023A (en) * | 2018-12-25 | 2020-07-03 | 杭州海康威视数字技术股份有限公司 | Code stream encryption and decryption method and device |
| CN111414639A (en) * | 2019-01-07 | 2020-07-14 | 百度在线网络技术（北京）有限公司 | File encryption and decryption method, device and equipment |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108175165A (en) * | 2018-02-10 | 2018-06-19 | 郑州市二七区汝河路小学 | Writing case with face identification functions |
| CN110210194A (en) * | 2019-04-18 | 2019-09-06 | 深圳壹账通智能科技有限公司 | Electronic contract display methods, device, electronic equipment and storage medium |
| CN116597552B (en) * | 2023-07-19 | 2023-09-22 | 青岛大数华创科技有限公司 | Face recognition authorization management system for biological sample warehouse-in and warehouse-out |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5673320A (en) * | 1995-02-23 | 1997-09-30 | Eastman Kodak Company | Method and apparatus for image-based validations of printed documents |
| DE10334012A1 (en) * | 2003-07-25 | 2005-02-10 | Id-Soft Gmbh | Data carrier for personal identity documents has all personal identification and biometric data compressed and encrypted into two dimensional bar code and microchip |
| CN1731414A (en) * | 2004-08-04 | 2006-02-08 | 上海银晨智能识别科技有限公司 | Method and apparatus for anti-counterfeiting of certificate based on human face identification technology |
| CN100397410C (en) * | 2005-12-31 | 2008-06-25 | 北京中星微电子有限公司 | Method and device for distinguishing face expression based on video frequency |
-
2007
- 2007-01-11 CN CN 200710036375 patent/CN101221612A/en active Pending
- 2007-06-21 WO PCT/CN2007/001951 patent/WO2008083535A1/en active Application Filing
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101488172A (en) * | 2009-02-27 | 2009-07-22 | 上海凌锐信息技术有限公司 | Document handwriting encryption and decryption method and its application terminal |
| CN101958892A (en) * | 2010-09-16 | 2011-01-26 | 汉王科技股份有限公司 | Electronic data protection method, device and system based on face recognition |
| CN101958892B (en) * | 2010-09-16 | 2013-02-20 | 汉王科技股份有限公司 | Electronic data protection method, device and system based on face recognition |
| CN103380591A (en) * | 2011-02-22 | 2013-10-30 | 三菱电机株式会社 | Similarity calculation system, similarity calculation device, computer program, and similarity calculation method |
| CN103380591B (en) * | 2011-02-22 | 2016-03-30 | 三菱电机株式会社 | Similar degree computing system, similar degree calculation element and similar degree computational methods |
| CN102622616A (en) * | 2012-02-14 | 2012-08-01 | 南昌航空大学 | Human face recognition method based on two-dimensional kernel principal component analysis and fuzzy maximum scatter difference |
| CN103577764A (en) * | 2012-07-27 | 2014-02-12 | 国基电子（上海）有限公司 | Document encryption and decryption method and electronic device with document encryption and decryption function |
| CN103065127A (en) * | 2012-12-30 | 2013-04-24 | 信帧电子技术（北京）有限公司 | Method and device for recognizing human face in fog day image |
| CN103116404A (en) * | 2013-02-25 | 2013-05-22 | 广东欧珀移动通信有限公司 | Face recognition unlocking method and mobile smart terminal |
| CN103400082A (en) * | 2013-08-16 | 2013-11-20 | 中科创达软件股份有限公司 | File encryption/decryption method and system |
| CN103699893A (en) * | 2013-12-10 | 2014-04-02 | 柳州译海网络科技有限公司 | Face feature information collection device |
| CN105512599A (en) * | 2014-09-26 | 2016-04-20 | 数伦计算机技术（上海）有限公司 | Face identification method and face identification system |
| CN105574387A (en) * | 2015-06-16 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Information security processing method and user terminal |
| CN105760817A (en) * | 2016-01-28 | 2016-07-13 | 深圳泰首智能技术有限公司 | Method and device for recognizing, authenticating, unlocking and encrypting storage space by using human face |
| CN108038443A (en) * | 2017-12-08 | 2018-05-15 | 深圳泰首智能技术有限公司 | Witness the method and apparatus of service testing result |
| CN109359456A (en) * | 2018-09-21 | 2019-02-19 | 百度在线网络技术（北京）有限公司 | Method for managing security, device, equipment and the computer-readable medium of file |
| CN109543432A (en) * | 2018-11-23 | 2019-03-29 | 济南中维世纪科技有限公司 | Facial image encrypts anti-tamper and retrieval method in a kind of video |
| CN111372023A (en) * | 2018-12-25 | 2020-07-03 | 杭州海康威视数字技术股份有限公司 | Code stream encryption and decryption method and device |
| CN111372023B (en) * | 2018-12-25 | 2023-04-07 | 杭州海康威视数字技术股份有限公司 | Code stream encryption and decryption method and device |
| CN111414639A (en) * | 2019-01-07 | 2020-07-14 | 百度在线网络技术（北京）有限公司 | File encryption and decryption method, device and equipment |
| CN111414639B (en) * | 2019-01-07 | 2023-08-08 | 百度在线网络技术（北京）有限公司 | File encryption and decryption method, device and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2008083535A1 (en) | 2008-07-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101221612A (en) | Method for enciphering and deciphering electric document file by face recognition | |
| US11310058B2 (en) | Methods for digitally signing an electronic file and authentication method | |
| CN101976321B (en) | Generated encrypting method based on face feature key | |
| US9189612B2 (en) | Biometric verification with improved privacy and network performance in client-server networks | |
| CN105429761B (en) | A kind of key generation method and device | |
| US9218473B2 (en) | Creation and authentication of biometric information | |
| US20190013931A1 (en) | Biometric verification of a blockchain database transaction contributor | |
| US20160269178A1 (en) | Privacy-Enhanced Biometrics-Secret Binding Scheme | |
| US20170103250A1 (en) | Fingerprint decryption method and device | |
| US8959364B2 (en) | Method and system for verifying the identity of an individual by employing biometric data features associated with the individual | |
| CN105260669B (en) | The transmission method and Transmission system of photo | |
| CN104408356B (en) | A kind of fingerprint verification method and system, fingerprint template encryption device | |
| CN102111418A (en) | Facial feature cryptographic key generation-based internet identity authentication method | |
| CN110647659A (en) | Imaging system and video processing method | |
| Hernández Álvarez et al. | Biometric fuzzy extractor scheme for iris templates | |
| CN105337742A (en) | LFSR (Linear Feedback Shift Register) file encryption and decryption methods based on human face image features and GPS (Global Position System) information | |
| CN100520671C (en) | Finger print encryption and decryption method of electron decument | |
| CN103368736A (en) | Business information encryption and decryption method and device | |
| CN104715537A (en) | Encryption and decryption method based on digital tags | |
| CN104835039A (en) | Data label generation method | |
| Maurya et al. | A Survey on Cancellable Biometrics Techniques | |
| CN105227562B (en) | The key business data transmission mediation device and its application method of identity-based verifying | |
| CN114238909A (en) | Virtual asset storage method and device and virtual asset query method and device | |
| GB2556625A (en) | Secure enrolment of biometric data | |
| CN101373507A (en) | Data management method and data management system using the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |