CN101042731A - Iris security authentication texture characteristic extracting method based on wavelet novel technology - Google Patents
Iris security authentication texture characteristic extracting method based on wavelet novel technology Download PDFInfo
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- CN101042731A CN101042731A CN 200610016695 CN200610016695A CN101042731A CN 101042731 A CN101042731 A CN 101042731A CN 200610016695 CN200610016695 CN 200610016695 CN 200610016695 A CN200610016695 A CN 200610016695A CN 101042731 A CN101042731 A CN 101042731A
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Abstract
This invention relates to one iris file safety seam property extraction method based on wavelet technique, which aims for current iris identification method by use of limit direction without optimization for line or plane odd of high dimensional function and coding formula with complex method and large information and low degree of safety, wherein, it adopts multi-size geometry analysis wavelet method with good direction selection to express high dimensional function to improve iris seam property.
Description
Affiliated technical field
The utility model belongs to research of biological characteristic iris identity identifying technology and application.
Background technology
" mistake " edge (across edge) characteristic that the present iris identification method based on wavelet analysis utilizes small echo to have more, the separable wavelets of opening by the one dimension small echo (Separable wavelet), only have limited direction (level, vertical and diagonal angle), can not " optimum " expression contain line or the unusual higher-dimension function of face.In addition, iris feature matching process complexity, Iris Texture Features Extraction contains much information, and it is big to take the proper vector storage space, and the not high aspect of safety of transmission also haves much room for improvement.
Summary of the invention
The utility model adopts multi-scale geometric analysis small echo curvelet transform method, with the edge is the basic representation element, make full use of the distinctive geometric properties of data itself, express " edge " edge (along edge) characteristic completely, the expression higher-dimension function of optimum " the most sparse " in other words approaches performance with respect to wavelet analysis and improves a lot.The multiscale analysis technology can filter out fragile information, and outstanding stable characteristics reduces the identification error rate greatly.In addition, the curvelet conversion is anisotropic (anisotropy), has very strong directivity, can handle for iris image more information is provided.Extract iris texture characteristic more efficiently.
Iris image is being carried out in the cataloged procedure, adopt to intend the zerotree image method and determine quantization threshold, coming the attribute of crossover frequency domain information and be quantified as diad to encode and represent iris feature with this.This feature coding has embodied the distribution pattern of different attribute information in the frequency field.Algorithm has strengthened wavelet transformation and has been used for the availability that iris feature is encoded, and has simplified the pattern matching process of iris feature.Binary coded system has been saved the condition code storage space, and use MD5 that the iris sign indicating number is carried out the fragile watermark of unidirectional Hash computing as content, farthest guarantee security in the iris-encoding transmission to be applicable to iris security authentication technology by the iris sign indicating number being carried out authentication method that the quadratic entropy encoding compression adds watermark based on intelligent chip.
Description of drawings:
(1) workflow of Fig. 1 iris recognition
(2) Fig. 2 technology path is described figure
Embodiment
(1) obtains clear available high-quality iris image by the iris image automatic acquisition device.
(2) normalized iris texture is carried out the translation invariant pre-service of wavelet transformation, obtain the character representation of iris texture by the exchange of multi-scale geometric analysis small echo, and intend remainder quantization encoding, obtain feature coding;
(3) feature coding of the iris image that will gather in real time and template characteristic are carried out the pattern comparison, checking acceptance/refusal.If take the verification mode of networking, need take fragile watermark technical protection coded message, verify at receiving end.
Claims (4)
1. iris security authentication texture characteristic extracting method based on wavelet novel technology; it is characterized in that: the character representation that obtains iris texture by the multi-scale geometric analysis wavelet transformation; intend remainder quantization encoding; with the feature coding and the template characteristic of the iris image of collection are carried out the pattern comparison in real time; checking acceptance/refusal; if take the verification mode of networking, need take fragile watermark technical protection coded message, verify at receiving end.
2. iris security authentication texture characteristic extracting method according to claim 1, it is characterized in that: multi-scale geometric analysis small echo curvelet conversion, this technology can filter out fragile information, outstanding stable characteristics, reduce the identification error rate, in addition, utilizing the curvelet conversion is anisotropic (anisotropy) feature, for the iris image processing provides more information, extract iris texture characteristic more efficiently.
3. iris security authentication texture characteristic extracting method according to claim 1, it is characterized in that: adopt plan zerotree image method to determine quantization threshold, come the attribute of crossover frequency domain information and be quantified as diad to encode and represent iris feature, strengthen the availability that wavelet transformation is used for the iris feature coding, simplify the pattern matching process of iris feature.
4. the iris security authentication texture characteristic extracting method based on wavelet novel technology according to claim 1, it is characterized in that: when the transmission of picture coding, adopt based on MD5 the iris sign indicating number is carried out the security of unidirectional Hash computing in guaranteeing to transmit as the fragile watermark authentication method of content authentication.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610016695 CN101042731A (en) | 2006-03-23 | 2006-03-23 | Iris security authentication texture characteristic extracting method based on wavelet novel technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610016695 CN101042731A (en) | 2006-03-23 | 2006-03-23 | Iris security authentication texture characteristic extracting method based on wavelet novel technology |
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| Publication Number | Publication Date |
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| CN101042731A true CN101042731A (en) | 2007-09-26 |
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| CN 200610016695 Pending CN101042731A (en) | 2006-03-23 | 2006-03-23 | Iris security authentication texture characteristic extracting method based on wavelet novel technology |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8189879B2 (en) | 2008-02-14 | 2012-05-29 | Iristrac, Llc | System and method for animal identification using IRIS images |
| CN103577813A (en) * | 2013-11-25 | 2014-02-12 | 中国科学院自动化研究所 | Information fusion method for heterogeneous iris recognition |
| CN106372480A (en) * | 2016-08-19 | 2017-02-01 | 刘晓亮 | Computer for guaranteeing database information security |
| CN108133187A (en) * | 2017-12-22 | 2018-06-08 | 吉林大学 | Dimensional variation invariant feature and the one-to-one iris identification method of more algorithms voting |
| CN108681722A (en) * | 2018-05-24 | 2018-10-19 | 辽宁工程技术大学 | A kind of finger vein features matching process based on texture |
-
2006
- 2006-03-23 CN CN 200610016695 patent/CN101042731A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8189879B2 (en) | 2008-02-14 | 2012-05-29 | Iristrac, Llc | System and method for animal identification using IRIS images |
| US8315440B2 (en) | 2008-02-14 | 2012-11-20 | Iristrac, Llc | System and method for animal identification using iris images |
| CN103577813A (en) * | 2013-11-25 | 2014-02-12 | 中国科学院自动化研究所 | Information fusion method for heterogeneous iris recognition |
| CN106372480A (en) * | 2016-08-19 | 2017-02-01 | 刘晓亮 | Computer for guaranteeing database information security |
| CN108133187A (en) * | 2017-12-22 | 2018-06-08 | 吉林大学 | Dimensional variation invariant feature and the one-to-one iris identification method of more algorithms voting |
| CN108681722A (en) * | 2018-05-24 | 2018-10-19 | 辽宁工程技术大学 | A kind of finger vein features matching process based on texture |
| CN108681722B (en) * | 2018-05-24 | 2021-09-21 | 辽宁工程技术大学 | Finger vein feature matching method based on texture |
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Addressee: Liu Yuanning Document name: Notice of publication of application for patent for invention |
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| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |