CN105550650A - Fingerprint security protection method and system - Google Patents
Fingerprint security protection method and system Download PDFInfo
- Publication number
- CN105550650A CN105550650A CN201510918162.8A CN201510918162A CN105550650A CN 105550650 A CN105550650 A CN 105550650A CN 201510918162 A CN201510918162 A CN 201510918162A CN 105550650 A CN105550650 A CN 105550650A
- Authority
- CN
- China
- Prior art keywords
- point
- target
- image
- fingerprint image
- partitioning portion
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000011218 segmentation Effects 0.000 claims abstract description 25
- 238000000605 extraction Methods 0.000 claims abstract description 19
- 238000003709 image segmentation Methods 0.000 claims abstract description 7
- 238000000638 solvent extraction Methods 0.000 claims description 72
- 238000000926 separation method Methods 0.000 claims description 14
- 238000010586 diagram Methods 0.000 description 10
- 230000015572 biosynthetic process Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 238000003786 synthesis reaction Methods 0.000 description 4
- 238000013475 authorization Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
Abstract
The invention discloses a fingerprint security protection method and system. The method includes the following steps that: a target fingerprint image which is obtained through fingerprint feature extraction by using a feature frame is obtained; all target feature points which are to be used by target fingerprint image segmentation are selected; a cross-free target folded line segment is determined according to all the selected target feature points; a first segmentation part image and a second segmentation part image of the target fingerprint image are obtained according to the target fingerprint image and the target folded line segment; and an original fingerprint image and a copy respectively save the first segmentation part image and the second segmentation part image. Fingerprint image segmentation is performed on a fingerprint according to target coordinate points corresponding to the feature frame of the feature points, so that the two parts obtained through segmentation are reserved on different images, and therefore, the other people can be effectively prevented from stealing the information of the whole effective fingerprint, and when the fingerprint image is needed, the two parts of the fingerprint image can be matched with each other so as to be fused together according to segmentation point information, and the security of fingerprint image storage can be improved.
Description
Technical field
The present invention relates to information security field, particularly relate to a kind of finger print safety guard method and system.
Background technology
Fingerprint, because it has unchangeable property, uniqueness and convenience, almost become the synonym of living things feature recognition, fingerprint is the unique feature of human body, and their complexity is enough to the enough features being provided for differentiating, carries out work attendance or payment etc. as utilized fingerprint.
But gathering now when fingerprint carries out that fingerprint image stores is stored by whole fingerprint image, and easily got the whole effective finger print information in equipment by other people, finger print information is difficult to safely ensure.
Summary of the invention
In view of this, fundamental purpose of the present invention is to provide a kind of finger print safety guard method and system, can improve the security that fingerprint image stores.
For achieving the above object, the invention provides a kind of finger print safety guard method, comprising:
Obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction;
Choose all target signature points that described target fingerprint Iamge Segmentation will use;
Described all target signature points according to choosing determine an achiasmate target broken line;
The first partitioning portion image and the second partitioning portion image of described target fingerprint image is obtained according to described target fingerprint image and described target broken line;
Described first partitioning portion image and the second partitioning portion separation of images are stored.
Preferably, choose all target signature points that described target fingerprint Image will use described in comprise:
The fingerprint feature point of extraction is carried out other classification of specified class, sorted every category feature point is carried out grade classification respectively according to default classification rule;
From the grade divided, determine goal gradient, obtain all unique points under described goal gradient, as target signature point set.
Preferably, described appointment classification comprises bifurcation, terminating point, central point and trigpoint.
Preferably, described sorted every category feature point carries out grade classification respectively according to default classification rule and comprises:
According to the readability of each unique point in class every after classification and position in the picture, for unique points all in every class carry out the grade classification of predetermined number.
Preferably, described all target signature points that described basis is chosen determine that an achiasmate target broken line comprises:
For described target fingerprint image sets up the coordinate system be made up of the first coordinate axis and the second coordinate axis, obtain the coordinates of targets point coordinate value of described all target signature point characteristic of correspondence frames, determine that an angle of described target fingerprint image is as target angle, with described Corner for starting point, with described target angle to angle point for terminal, connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line.
Preferably, the coordinates of targets point of described feature frame is the central point of described feature frame.
Preferably, described with described Corner for starting point, with described target angle to angle point for terminal, connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line and comprise:
With described Corner for starting point, with described target angle to angle point for terminal, according to the coordinate figure of the central point of each feature frame, connect the central point of described each feature frame successively, obtain achiasmate target broken line.
Preferably, the coordinates of targets point of described feature frame be the appointment angle point of described feature frame and described appointment angle to angle point.
Preferably, describedly determine that an angle of described target fingerprint image comprises as target angle:
With the orientation of the appointment angle point of described feature frame for benchmark, choose the angle in the corresponding orientation of described target fingerprint image as target angle.
Preferably, described with described Corner for starting point, with described target angle to angle point for terminal, connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line and comprise:
With described Corner for starting point, with described target angle to angle point for terminal, according to the coordinate figure of the appointment angle point of each feature frame and described appointment angle to angular coordinate value, the appointment angle point connecting described each feature frame successively with specify angle to angle point, obtain achiasmate target broken line.
Preferably, described the first partitioning portion image and the second partitioning portion image obtaining described target fingerprint image according to described target fingerprint image and described target broken line, and described first partitioning portion image and the second partitioning portion separation of images storage are comprised:
According to described target broken line, described target fingerprint image is carried out the segmentation of fingerprint image, obtain the first partitioning portion image and the second partitioning portion image, and described first partitioning portion image and the second partitioning portion separation of images are stored.
Preferably, described the first partitioning portion image and the second partitioning portion image obtaining described target fingerprint image according to described target fingerprint image and described target broken line, and described first partitioning portion image and the second partitioning portion separation of images storage are comprised:
Described target fingerprint image is copied, obtain target fingerprint image duplicate, according to described target broken line, described target fingerprint image and described target fingerprint image copy are carried out respectively the segmentation of fingerprint image, obtain the first partitioning portion image and the second partitioning portion image respectively;
Make described target fingerprint icon retain the first partitioning portion image and store, make described target fingerprint image copy retain the second partitioning portion image and store.
Present invention also offers a kind of finger print safety protection system, comprising:
Fingerprint image acquisition module, utilizes feature frame to carry out the target fingerprint image after fingerprint feature point extraction for obtaining;
Unique point acquisition module, for choosing all target signature points that described target fingerprint Iamge Segmentation will use;
Cut-off rule determination module, for determining an achiasmate target broken line according to the described all target signature points chosen;
Image segmentation module, for obtaining the first partitioning portion image and the second partitioning portion image of described target fingerprint image according to described target fingerprint image and described target broken line;
Image retains module, for described first partitioning portion image and the second partitioning portion separation of images being stored.
Preferably, described unique point acquisition module comprises:
Grade classification submodule, for the fingerprint feature point of extraction being carried out other classification of specified class, carries out grade classification by sorted every category feature point according to default classification rule respectively;
Goal gradient unique point obtains submodule, for determining goal gradient from the grade divided, obtains all unique points under described goal gradient, as target signature point set.
Apply a kind of finger print safety guard method provided by the invention and system, obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction, choose all target signature points that described target fingerprint Iamge Segmentation will use, described all target signature points according to choosing determine an achiasmate target broken line, the first partitioning portion image and the second partitioning portion image of described target fingerprint image is obtained according to described target fingerprint image and described target broken line, former fingerprint image and copy retain the first partitioning portion image and the second partitioning portion image respectively, coordinates of targets point corresponding according to the feature frame of unique point for fingerprint is carried out the segmentation of fingerprint image, and retain on different images respectively splitting the two parts obtained, can prevent other people from stealing the information of whole effective fingerprint, and according to breakpoint information, two parts of fingerprint image can be carried out coupling synthesis when needing fingerprint image, improve the security that fingerprint image stores.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 is the process flow diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 2 is the feature extraction schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 3 is the grade separation schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 4 is the grade separation schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 5 is the cut-off rule determination schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 6 is the cut-off rule determination schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 7 is the cut-off rule determination schematic diagram of a kind of finger print safety guard method of the present invention embodiment one;
Fig. 8 is the structural representation of a kind of finger print safety protection system of the present invention embodiment two.
Fig. 9 is the detailed construction schematic diagram of a kind of finger print safety protection system of the present invention embodiment two.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment one:
The invention provides a kind of finger print safety guard method, Fig. 1 shows the process flow diagram of finger print safety guard method embodiment one of the present invention, comprising:
Step S101: obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction;
The fingerprint feature point of extraction can be carried out other classification of specified class after obtaining the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction, sorted every category feature point is carried out grade classification respectively according to default classification rule, as described in Figure 2, for the image after feature extraction, each unique point positions by feature frame, each unique point is carried out other classification of specified class, described appointment classification comprises bifurcation, terminating point, central point and trigpoint, according to the readability of each unique point in class every after classification and position in the picture, for unique points all in every class carry out the grade classification of predetermined number, as being divided into the first estate and the second grade, often kind of unique point, respectively get m optimum, as one-level grade classification, often kind of unique point, respectively gets n (n>m) individual optimum, as secondary grade classification, as shown in Figure 3 and Figure 4, is respectively the unique point of the first estate after divided rank and the unique point of the second grade.
Step S102: choose all target signature points that described target fingerprint Iamge Segmentation will use;
From the grade divided, determine goal gradient, obtain all unique points under goal gradient, as target signature point; Determine that a grade is as goal gradient, as fingerprint image will be utilized to carry out fingerprint attendance, then can select the unique point that the first estate is less, carry out fingerprint payment as fingerprint image will be utilized, the security needed is higher, then can select the unique point of a fairly large number of second grade of unique point.
Step S103: the described all target signature points according to choosing determine an achiasmate target broken line;
Particularly, for described target fingerprint image sets up the coordinate system be made up of the first coordinate axis and the second coordinate axis, obtain the coordinates of targets point coordinate value that described target signature point concentrates the feature frame of all Feature point correspondence, determine that an angle of described target fingerprint image is as target angle, with described Corner for starting point, with described target angle to angle point for terminal, connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line;
Choose and have two kinds of methods to the point of fingerprint characteristic Image Segmentation Using, be respectively selected characteristic frame central point as cut-point and selected characteristic frame to angle point as cut-point, here is the concrete reference example of two kinds of methods:
One, selected characteristic frame central point is as cut-point:
(1) position coordinates of each feature frame central point on image is obtained.
(2) setting up x-y coordinate system, is vertically y-axis, and level is x-axis.Be initial cut-point with the image lower left corner, be coordinate (0,0) point.The central point of each feature frame has a unique coordinate (x, y).
(3) increasing to sequentially with y-axis coordinate values, connects each central point successively.If when y value is identical, utilize x value to compare, x value smaller first connect, and guarantees do not have line segment to intersect.
(4) with the image upper right corner for segmentation terminating point, obtain a broken line, as shown in Figure 5 and Figure 6, the unique point selected characteristic frame central point being respectively the first estate is the unique point selected characteristic frame central point of the cut-off rule that obtains of cut-point and the second grade is the cut-off rule that cut-point obtains;
Two, selected characteristic frame to angle point as cut-point:
(1) position coordinates of each feature frame central point on image is obtained.
(2) setting up x-y coordinate system, is vertically y-axis, and level is x-axis.Be initial cut-point with the image lower left corner, be coordinate (0,0) point.The central point of each feature frame has a unique coordinate (x, y).
(3) increasing to sequentially with y-axis coordinate values, connects successively by lower-left angle point (a, b) of each feature frame and upper right angle point (c, d).If when y value is identical, utilize x value to compare, x value smaller first connect, and guarantees do not have line segment to intersect.
(4) with the image upper right corner for segmentation terminating point, obtain a broken line, as shown in Figure 7.
Step S104: the first partitioning portion image and the second partitioning portion image that obtain described target fingerprint image according to described target fingerprint image and described target broken line;
Particularly, described target fingerprint image is copied, obtain target fingerprint image duplicate, according to described target broken line, described target fingerprint image and described target fingerprint image copy are carried out respectively the segmentation of fingerprint image, obtain the first partitioning portion image and the second partitioning portion image respectively;
Target fingerprint copying image is obtained copy, utilizes target broken line to split respectively to original image and copy, as shown in Fig. 5 ~ Fig. 7, in two figure, respectively have part A image and part B.
Step S105: and described first partitioning portion image and the second partitioning portion separation of images are stored.
Separate Storage can make described target fingerprint icon retain the first partitioning portion image, described target fingerprint image copy is made to retain the second partitioning portion image, former figure is made to retain part A image, copy retains part B image, need according to breakpoint information, two parts of fingerprint image to be carried out coupling synthesis during fingerprint image, two subimages have the authorization information identified each other.
A kind of finger print safety guard method that application the present embodiment provides, obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction, choose all target signature points that described target fingerprint Iamge Segmentation will use, described all target signature points according to choosing determine an achiasmate target broken line, the first partitioning portion image and the second partitioning portion image of described target fingerprint image is obtained according to described target fingerprint image and described target broken line, former fingerprint image and copy retain the first partitioning portion image and the second partitioning portion image respectively, coordinates of targets point corresponding according to the feature frame of unique point for fingerprint is carried out the segmentation of fingerprint image, and retain on different images respectively splitting the two parts obtained, can prevent other people from stealing the information of whole effective fingerprint, and according to breakpoint information, two parts of fingerprint image can be carried out coupling synthesis when needing fingerprint image, improve the security that fingerprint image stores.
Embodiment two:
Present invention also offers a kind of finger print safety protection system, Fig. 8 shows the example structure schematic diagram of finger print safety protection system of the present invention, comprising:
Fingerprint image acquisition module 101, utilizes feature frame to carry out the target fingerprint image after fingerprint feature point extraction for obtaining;
Unique point acquisition module 102, is connected with described fingerprint image acquisition module 101, for choosing all target signature points that described target fingerprint Iamge Segmentation will use;
Cut-off rule determination module 103, is connected with described unique point acquisition module 102, for determining an achiasmate target broken line according to the described all target signature points chosen;
Image segmentation module 104, is connected with described cut-off rule determination module 103, for obtaining the first partitioning portion image and the second partitioning portion image of described target fingerprint image according to described target fingerprint image and described target broken line;
Image retains module 105, is connected with described image segmentation module 104, for described first partitioning portion image and the second partitioning portion separation of images being stored.
Particularly, as shown in Figure 9, unique point acquisition module 102 can comprise:
Grade classification submodule 201, for the fingerprint feature point of extraction being carried out other classification of specified class, carries out grade classification by sorted every category feature point according to default classification rule respectively;
Goal gradient unique point obtains submodule 202, is connected with described grade classification submodule, for determining goal gradient from the grade divided, obtains all unique points under described goal gradient, as target signature point set.
A kind of finger print safety protection system that application the present embodiment provides, obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction, choose all target signature points that described target fingerprint Iamge Segmentation will use, described all target signature points according to choosing determine an achiasmate target broken line, the first partitioning portion image and the second partitioning portion image of described target fingerprint image is obtained according to described target fingerprint image and described target broken line, former fingerprint image and copy retain the first partitioning portion image and the second partitioning portion image respectively, coordinates of targets point corresponding according to the feature frame of unique point for fingerprint is carried out the segmentation of fingerprint image, and retain on different images respectively splitting the two parts obtained, can prevent other people from stealing the information of whole effective fingerprint, and according to breakpoint information, two parts of fingerprint image can be carried out coupling synthesis when needing fingerprint image, improve the security that fingerprint image stores.
It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.For system class embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Finally, also it should be noted that, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
Be described in detail method and system provided by the present invention above, apply specific case herein and set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (14)
1. a finger print safety guard method, is characterized in that, comprising:
Obtain the target fingerprint image after utilizing feature frame to carry out fingerprint feature point extraction;
Choose all target signature points that described target fingerprint Iamge Segmentation will use;
Described all target signature points according to choosing determine an achiasmate target broken line;
The first partitioning portion image and the second partitioning portion image of described target fingerprint image is obtained according to described target fingerprint image and described target broken line;
Described first partitioning portion image and the second partitioning portion separation of images are stored.
2. finger print safety guard method according to claim 1, is characterized in that, described in choose all target signature points that described target fingerprint Image will use and comprise:
The fingerprint feature point of extraction is carried out other classification of specified class, sorted every category feature point is carried out grade classification respectively according to default classification rule;
From the grade divided, determine goal gradient, obtain all unique points under described goal gradient, as target signature point set.
3. finger print safety guard method according to claim 2, is characterized in that, described appointment classification comprises bifurcation, terminating point, central point and trigpoint.
4. finger print safety guard method according to claim 3, is characterized in that, described sorted every category feature point carries out grade classification respectively according to default classification rule and comprises:
According to the readability of each unique point in class every after classification and position in the picture, for unique points all in every class carry out the grade classification of predetermined number.
5. finger print safety guard method according to claim 1, is characterized in that, determines that an achiasmate target broken line comprises according to the described all target signature points chosen:
For described target fingerprint image sets up the coordinate system be made up of the first coordinate axis and the second coordinate axis, obtain the coordinates of targets point coordinate value of described all target signature point characteristic of correspondence frames, determine that an angle of described target fingerprint image is as target angle, with described Corner for starting point, with described target angle to angle point for terminal, connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line.
6. finger print safety guard method according to claim 5, is characterized in that, the coordinates of targets point of described feature frame is the central point of described feature frame.
7. finger print safety guard method according to claim 6; it is characterized in that, described with described Corner for starting point, with described target angle to angle point for terminal; connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line and comprise:
With described Corner for starting point, with described target angle to angle point for terminal, according to the coordinate figure of the central point of each feature frame, connect the central point of described each feature frame successively, obtain achiasmate target broken line.
8. finger print safety guard method according to claim 5, is characterized in that, the coordinates of targets point of described feature frame be the appointment angle point of described feature frame and described appointment angle to angle point.
9. finger print safety guard method according to claim 8, is characterized in that, describedly determines that an angle of described target fingerprint image comprises as target angle:
With the orientation of the appointment angle point of described feature frame for benchmark, choose the angle in the corresponding orientation of described target fingerprint image as target angle.
10. finger print safety guard method according to claim 9; it is characterized in that, described with described Corner for starting point, with described target angle to angle point for terminal; connect each described coordinates of targets point successively according to default concatenate rule, obtain achiasmate target broken line and comprise:
With described Corner for starting point, with described target angle to angle point for terminal, according to the coordinate figure of the appointment angle point of each feature frame and described appointment angle to angular coordinate value, the appointment angle point connecting described each feature frame successively with specify angle to angle point, obtain achiasmate target broken line.
11. finger print safety guard methods according to claim 1; it is characterized in that; described the first partitioning portion image and the second partitioning portion image obtaining described target fingerprint image according to described target fingerprint image and described target broken line, and described first partitioning portion image and the second partitioning portion separation of images storage are comprised:
According to described target broken line, described target fingerprint image is carried out the segmentation of fingerprint image, obtain the first partitioning portion image and the second partitioning portion image, and described first partitioning portion image and the second partitioning portion separation of images are stored.
12. finger print safety guard methods according to claim 1; it is characterized in that; described the first partitioning portion image and the second partitioning portion image obtaining described target fingerprint image according to described target fingerprint image and described target broken line, and described first partitioning portion image and the second partitioning portion separation of images storage are comprised:
Described target fingerprint image is copied, obtain target fingerprint image duplicate, according to described target broken line, described target fingerprint image and described target fingerprint image copy are carried out respectively the segmentation of fingerprint image, obtain the first partitioning portion image and the second partitioning portion image respectively;
Make described target fingerprint icon retain the first partitioning portion image and store, make described target fingerprint image copy retain the second partitioning portion image and store.
13. 1 kinds of finger print safety protection systems, is characterized in that, comprising:
Fingerprint image acquisition module, utilizes feature frame to carry out the target fingerprint image after fingerprint feature point extraction for obtaining;
Unique point acquisition module, for choosing all target signature points that described target fingerprint Iamge Segmentation will use;
Cut-off rule determination module, for determining an achiasmate target broken line according to the described all target signature points chosen;
Image segmentation module, for obtaining the first partitioning portion image and the second partitioning portion image of described target fingerprint image according to described target fingerprint image and described target broken line;
Image retains module, for described first partitioning portion image and the second partitioning portion separation of images being stored.
14. finger print safety protection systems according to claim 13, is characterized in that, described unique point acquisition module comprises:
Grade classification submodule, for the fingerprint feature point of extraction being carried out other classification of specified class, carries out grade classification by sorted every category feature point according to default classification rule respectively;
Goal gradient unique point obtains submodule, for determining goal gradient from the grade divided, obtains all unique points under described goal gradient, as target signature point set.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510918162.8A CN105550650B (en) | 2015-12-10 | 2015-12-10 | A kind of finger print safety guard method and system |
| PCT/CN2015/100200 WO2017096670A1 (en) | 2015-12-10 | 2015-12-31 | Fingerprint security protection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510918162.8A CN105550650B (en) | 2015-12-10 | 2015-12-10 | A kind of finger print safety guard method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105550650A true CN105550650A (en) | 2016-05-04 |
| CN105550650B CN105550650B (en) | 2018-11-06 |
Family
ID=55829833
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510918162.8A Active CN105550650B (en) | 2015-12-10 | 2015-12-10 | A kind of finger print safety guard method and system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105550650B (en) |
| WO (1) | WO2017096670A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909820A (en) * | 2017-01-20 | 2017-06-30 | 奇酷互联网络科技（深圳）有限公司 | Mobile terminal and its finger print data treating method and apparatus |
| CN110263578A (en) * | 2019-06-26 | 2019-09-20 | 湖南科技学院 | A kind of authentication system based on cloud computing |
| CN111753722A (en) * | 2020-06-24 | 2020-10-09 | 上海依图网络科技有限公司 | Fingerprint identification method and device based on feature point type |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040052407A1 (en) * | 2002-09-18 | 2004-03-18 | Nec Corporation | Generation of reconstructed image data based on moved distance and tilt of slice data |
| CN1595428A (en) * | 2004-07-15 | 2005-03-16 | 清华大学 | Fingerprint identification method based on density chart model |
| US20050226479A1 (en) * | 2004-04-13 | 2005-10-13 | Nec Infrontia Corporation | Fingerprint reading method and fingerprint reading system |
| CN101782966A (en) * | 2010-02-11 | 2010-07-21 | 上海点佰趣信息科技有限公司 | Method for binaryzation of fingerprint image |
| CN102446271A (en) * | 2010-10-08 | 2012-05-09 | 金佶科技股份有限公司 | Sectional type image identification method and regional type identification device thereof |
| US20150054958A1 (en) * | 2013-08-23 | 2015-02-26 | Mando Corporation | Vehicle safety control apparatus and method using cameras |
| CN104951761A (en) * | 2015-06-12 | 2015-09-30 | 联想(北京)有限公司 | Information processing method and electronic equipment |
-
2015
- 2015-12-10 CN CN201510918162.8A patent/CN105550650B/en active Active
- 2015-12-31 WO PCT/CN2015/100200 patent/WO2017096670A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040052407A1 (en) * | 2002-09-18 | 2004-03-18 | Nec Corporation | Generation of reconstructed image data based on moved distance and tilt of slice data |
| US20050226479A1 (en) * | 2004-04-13 | 2005-10-13 | Nec Infrontia Corporation | Fingerprint reading method and fingerprint reading system |
| CN1595428A (en) * | 2004-07-15 | 2005-03-16 | 清华大学 | Fingerprint identification method based on density chart model |
| CN101782966A (en) * | 2010-02-11 | 2010-07-21 | 上海点佰趣信息科技有限公司 | Method for binaryzation of fingerprint image |
| CN102446271A (en) * | 2010-10-08 | 2012-05-09 | 金佶科技股份有限公司 | Sectional type image identification method and regional type identification device thereof |
| US20150054958A1 (en) * | 2013-08-23 | 2015-02-26 | Mando Corporation | Vehicle safety control apparatus and method using cameras |
| CN104951761A (en) * | 2015-06-12 | 2015-09-30 | 联想(北京)有限公司 | Information processing method and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 杨娱: "指纹图像的特征提取及特征点记录", 《电脑知识与技术》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909820A (en) * | 2017-01-20 | 2017-06-30 | 奇酷互联网络科技（深圳）有限公司 | Mobile terminal and its finger print data treating method and apparatus |
| CN106909820B (en) * | 2017-01-20 | 2020-07-28 | 奇酷互联网络科技（深圳）有限公司 | Mobile terminal and fingerprint data processing method and device thereof |
| CN110263578A (en) * | 2019-06-26 | 2019-09-20 | 湖南科技学院 | A kind of authentication system based on cloud computing |
| CN110263578B (en) * | 2019-06-26 | 2022-06-24 | 湖南科技学院 | Identity verification system based on cloud computing |
| CN111753722A (en) * | 2020-06-24 | 2020-10-09 | 上海依图网络科技有限公司 | Fingerprint identification method and device based on feature point type |
| CN111753722B (en) * | 2020-06-24 | 2024-03-26 | 上海依图网络科技有限公司 | Fingerprint identification method and device based on feature point type |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105550650B (en) | 2018-11-06 |
| WO2017096670A1 (en) | 2017-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guo et al. | An accurate and robust range image registration algorithm for 3D object modeling | |
| WO2020206903A1 (en) | Image matching method and device, and computer readable storage medium | |
| CN102968602B (en) | A kind of method to set up of keyboard and device | |
| CN108604383A (en) | Reposition system and method | |
| CN107636727A (en) | Target detection method and device | |
| CN105550650A (en) | Fingerprint security protection method and system | |
| CN104052976A (en) | Projection method and device | |
| CN110738219A (en) | Method and device for extracting lines in image, storage medium and electronic device | |
| CN109165657A (en) | A kind of image feature detection method and device based on improvement SIFT | |
| CN112712053A (en) | Sitting posture information generation method and device, terminal equipment and storage medium | |
| CN109164972B (en) | Control method, control device and mobile terminal | |
| CN110060296A (en) | Estimate method, electronic equipment and the method and apparatus for showing virtual objects of posture | |
| CN106959108A (en) | Location determining method, system and electronic equipment | |
| CN110673607A (en) | Feature point extraction method and device in dynamic scene and terminal equipment | |
| CN106485789A (en) | A kind of 3D model loading method and its device | |
| CN108985147A (en) | Object detection method and device | |
| CN105574535B (en) | Graphic symbol recognition method based on indirect distance angle histogram space relational model | |
| US20220366582A1 (en) | Method and System for Detecting Plane Information | |
| US9489509B2 (en) | Electronic device and method for unlocking objects of electronic device | |
| CN113393506B (en) | Image registration method and related device and equipment | |
| CN109472289A (en) | Critical point detection method and apparatus | |
| CN102184054B (en) | Multi-touch-point recognizing method and device | |
| JP2002190031A (en) | Curve identification system | |
| CN106210341A (en) | Terminal unlocking method and terminal unit | |
| CN106028140B (en) | A kind of terminal user ID login method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231222 Address after: 518000 floor 21, block a, Kupai building, intersection of Keyuan Avenue and Baoshen Road, north high tech Zone, songpingshan community, Xili street, Nanshan District, Shenzhen, Guangdong Patentee after: YULONG COMPUTER TELECOMMUNICATION SCIENTIFIC (SHENZHEN) Co.,Ltd. Address before: 3 / F, plant No.1, phase I project, No.3, Gongye West 1st Road, Songshan Lake high tech Industrial Development Zone, Dongguan City, Guangdong Province 523500 Patentee before: DONGGUAN COOLPAD SOFTWARE TECH Co.,Ltd. |