CN101344912A - Method for fingerprint random data generation - Google Patents
Method for fingerprint random data generation Download PDFInfo
- Publication number
- CN101344912A CN101344912A CNA2007100290697A CN200710029069A CN101344912A CN 101344912 A CN101344912 A CN 101344912A CN A2007100290697 A CNA2007100290697 A CN A2007100290697A CN 200710029069 A CN200710029069 A CN 200710029069A CN 101344912 A CN101344912 A CN 101344912A
- Authority
- CN
- China
- Prior art keywords
- fingerprint
- data
- random data
- random
- data generation
- 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
Abstract
The invention relates to a method for fingerprint partition and the generation of random data. The method is characterized in that each fingerprint is divided into N regions and a fingerprint eigenvalue is randomly collected within the n regions during each scanning.
Description
[affiliated technical field]
The present invention relates to a kind of generation method of fingerprint random data, especially to the method for the generation of fingerprint subregion and random data.
[background technology]
Modern society, the internet has become the communication tool that people use always.Because the internet is the environment of an opening, has potential safety hazard, therefore how ensureing not intercepted or distort in the data transmission procedure just becomes the important topic that internet security is built.
In the application of internet, the identity validation of communication two party has become major issue.The digital authenticating business that has now formed produces with regard to being based on this demand, and this mode has ensured the identity authenticity and the data security of communication two party.Current at present digital authenticating is that the mode that adopts the USB plug-in unit to generate serial data forms key in client.But in actual use, this key also has a lot of restrictions, and at first the USB plug-in unit need be carried, and loses easily; Next is that key separates with the people, has by the imitative risk of signing or falsely using; The 3rd is that serial data is subjected to exhaustive attack easily, has hidden danger on the safety, thereby needs regular update, very inconvenient; The 4th is that key needs backup, has trust problem and safety problem.
Because the many disadvantages that the USB plug-in unit exists, people are also constantly seeking new solution.Some mechanisms are just attempting to replace the USB plug-in unit to become the personally identifiable information data with fingerprint recently.
We know that everyone skin lines particularly fingerprint has nothing in common with each other, and that is to say, has the uniqueness characteristics, and constant throughout one's life on pattern, breakpoint and point of crossing.Rely on this uniqueness and stability, we just can be mapped a people with his fingerprint, compare by fingerprint that compares him and the fingerprint of preserving in advance, just can verify his true identity.Here it is fingerprint identification technology.
After having experienced technological accumulation slowly, fingerprint identification technology has been obtained bigger progress in recent years.Novel identification equipment is the research success of silicon wafer sensor and process chip particularly, has promoted the continuous expansion of application.But be applied to wide spectrums such as internet along with recognition technology, great change is also taking place in the customer group characteristics, at first be that crowd's quantity becomes huge, be extended to several ten thousand hundreds of thousands even bigger group by former only tens people's single groupuscule, next is that technology cracks with the hidden danger of security attack and also increasing, and these are all had higher requirement to the transmission and the matching process of fingerprint recognition.
The fingerprint random data generation scheme that the present invention proposes is exactly the technology of developing for the security that improves finger print data, can effectively solve the problem that fingerprint random data generates, and guarantees the uniqueness of the data that generate each time.Solve intercepting and capturing in the generation, transmission, matching process of finger print data, distorted, falsely use and forgery problem, stopped reverse calculating and the artificial possibility that generates, removed the application risk of finger print data.
[summary of the invention]
Content of the present invention illustrates according to the following steps:
1. subregion: artificially every piece of fingerprint being divided N is a district.
2. generate at random: the fingerprint characteristic value in each individual district of scanning fingerprint random acquisition n '.
3.N＞n’。
[beneficial effect]
Finger print data provided by the present invention generation method at random has following advantage:
1. security is good: each brand-new data are exactly brand-new, not reusable password on cryptography, have guaranteed data security;
2. can not be repeated to use: brand-new finger-print cipher has stopped that client data is intercepted or reusable possibility, has guaranteed to have only the new data that directly generates from the client finger could obtain to mate.
[embodiment 1]
1. programming: fingerprint random data generation method of the present invention is written as program language.
2. chip manufacturing: the program making of fingerprint random data generation method of the present invention is become little process chip.
3. assembly is complete: this chip and silicon wafer sensor and integrated package are integrated, become complete assemblies.
4. use: the system scan user fingerprints, chip extracts processing with the finger print data generation method that obtains by given subregion and generation method at random.The data set that obtains enters the database comparison.
[embodiment 2]
Every piece of fingerprint is divided into 16 * 16=256 district, each random scanning 3 districts wherein.
Recurrence probability calculates:
256×255×254/3×2×1＝2763520
Limit scanning is calculated:
If certain user is scanned 100 every day, continuous sweep 50 years, then the new finger print data of Sheng Chenging has:
365 days/year * 50 years * 100 times/day=1825000 times.
The limit data amount is calculated:
If every group of finger print data is 200Bytes, then certain user's limit data amount is:
1825000×200/1000000＝365M。
Claims (1)
1. method that generates about the subregion of fingerprint and random data, it is characterized in that: (1) is divided into N district with every piece of fingerprint.(2) fingerprint characteristic value in each individual district of scanning fingerprint random acquisition n '.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007100290697A CN101344912A (en) | 2007-07-09 | 2007-07-09 | Method for fingerprint random data generation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007100290697A CN101344912A (en) | 2007-07-09 | 2007-07-09 | Method for fingerprint random data generation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101344912A true CN101344912A (en) | 2009-01-14 |
Family
ID=40246914
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2007100290697A Pending CN101344912A (en) | 2007-07-09 | 2007-07-09 | Method for fingerprint random data generation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101344912A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110489351A (en) * | 2018-05-14 | 2019-11-22 | 英韧科技(上海)有限公司 | Chip finger print managing device and safety chip |
-
2007
- 2007-07-09 CN CNA2007100290697A patent/CN101344912A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110489351A (en) * | 2018-05-14 | 2019-11-22 | 英韧科技(上海)有限公司 | Chip finger print managing device and safety chip |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP1366595B1 (en) | Data processing apparatus and method | |
| EP1865442B1 (en) | Method, system and program for authenticating a user by biometric information | |
| KR100824733B1 (en) | Method for concealment and authentication of fingerprint data using 3d fuzzy vault, apparatus for concealment of fingerprint data using 3d fuzzy vault and system for authentication of fingerprint data using 3d fuzzy vault | |
| DE60029390T2 (en) | Method and apparatus for encryption / decryption and identification systems | |
| CN101751576B (en) | Protection method of fingerprint minutiae feature templates | |
| CN102722696A (en) | Identity authentication method of identity card and holder based on multi-biological characteristics | |
| EP2087641B1 (en) | Fuzzy biometrics based signatures | |
| US20070011464A1 (en) | Secure biometric authentication scheme | |
| AU2002307909A1 (en) | Remote authentification of fingerprints over an insecure network | |
| CN101022337A (en) | Network identification card realizing method | |
| US20120308093A1 (en) | Method and System for Generating a Representation of a Finger Print Minutiae Information | |
| Rassomakhin et al. | Mathematical model for the probabilistic minutia distribution in biometric fingerprint images | |
| Conti et al. | Fingerprint traits and RSA algorithm fusion technique | |
| Rao et al. | Finger print parameter based cryptographic key generation | |
| CN100583765C (en) | Biological safety level model and its setting method and device | |
| CN101344912A (en) | Method for fingerprint random data generation | |
| CN101344911A (en) | Method for fingerprint data safety matching | |
| Vidyasree et al. | Desisting the fraud in India's voting process through multi modalbiometrics | |
| Hong-wei et al. | A new fuzzy fingerprint vault using multivariable linear function based on lorenz chaotic system | |
| CN101339600A (en) | Fingerprint identification method based on centre point vector connection | |
| CN109194469B (en) | Fingerprint authentication method based on continuous variable quantum key distribution | |
| CN102769606A (en) | Gene certificate-based network digital identity authentication method | |
| Yang et al. | Non-invertible geometrical transformation for fingerprint minutiae template protection | |
| Subha et al. | A study on authenticated admittance of atm clients using biometrics based cryptosystem | |
| CN101340284A (en) | Method for finger print data packaging ciphering |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C57 | Notification of unclear or unknown address | ||
| DD01 | Delivery of document by public notice |
Addressee: Shi Jianyong Document name: Written notice of preliminary examination of application for patent for invention |
|
| C06 | Publication | ||
| PB01 | Publication | ||
| DD01 | Delivery of document by public notice |
Addressee: Shi Jianyong Document name: Notification of before Expiration of Request of Examination as to Substance |
|
| DD01 | Delivery of document by public notice |
Addressee: Shenzhen Jinglong Digital Technology Co., Ltd. Document name: Notification that Application Deemed to be Withdrawn |
|
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20090114 |