CN106339678A - Fingerprint image representation method based on a variety of feature points - Google Patents
Fingerprint image representation method based on a variety of feature points Download PDFInfo
- Publication number
- CN106339678A CN106339678A CN201610712235.2A CN201610712235A CN106339678A CN 106339678 A CN106339678 A CN 106339678A CN 201610712235 A CN201610712235 A CN 201610712235A CN 106339678 A CN106339678 A CN 106339678A
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- China
- Prior art keywords
- fingerprint
- point
- fingerprint image
- various features
- image
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Classifications
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- 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
-
- 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
- G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
-
- 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
- G06V40/1365—Matching; Classification
- G06V40/1376—Matching features related to ridge properties or fingerprint texture
Abstract
The invention provides a fingerprint image representation method based on a variety of feature points, which is applied to small-area fingerprint image recognition and belongs to the technical field of automatic fingerprint recognition. The method comprises the steps of image preprocessing, feature point extracting and feature point matching. In view of the defect that a small-area fingerprint contains less information, an image representation method based on a variety of fingerprint feature points is put forward. Fingerprint feature points are divided into two categories, wherein the center point, bifurcation points and endpoints of a fingerprint are classified to a first category, and ridge line points near the bifurcation points are classified to a second category. Then, fingerprint matching is performed by making comprehensive use of a variety of information of fingerprint feature points. By using the method put forward by the invention, the number of fingerprint feature points and the amount of useful fingerprint feature information are increased, and the accuracy of small-area fingerprint recognition can be improved greatly.
Description
Technical field
The present invention relates to auto Fingerprint Identification System, in particular it relates to small area fingerprint automation recognition method, especially can
The identification fingerprint image that area is little, quantity of information is few.
Background technology
At present, auto Fingerprint Identification System is most widely used biometrics identification technology, recognition accuracy and operation
Feasibility is above other recognition method.By the service of fingerprint authentication Replacing program password, allow Automatic FingerprintVerification skill
Art enjoys the favor in market.
But, the accuracy rate of current automated fingerprint identification algorithm is well below fingerprint recognition product desired on market
Accuracy rate, recognition accuracy and recognition speed all have much room for improvement.During in particular for small area fingerprint recognition, image provides information
Amount reduces, and accuracy of identification reduces, and the safety of use reduces, and fingerprint recognition difficulty increases.
Content of the invention
For defect of the prior art, it is an object of the invention to provide a kind of fingerprint image table based on various features point
Show method.
A kind of fingerprint image method for expressing based on various features point being provided according to the present invention, extracts multiple fingerprint characteristics
Point is simultaneously identified using the characteristic information of described multiple fingerprint feature points, comprising:
Obtain fingerprint image；
Fingerprint image is carried out with pretreatment, described pretreatment include image enhaucament, binaryzation, in refinement any one or appoint
Multiple process；
Extract fingerprint feature point from fingerprint image, wherein, described fingerprint feature point is fingerprint ridge line details；
Wherein, described fingerprint feature point includes first kind characteristic point, Equations of The Second Kind characteristic point；
Described first kind characteristic point include following any one or appoint multiple points:
- fingerprint central point；
- fingerprint bifurcation；
- fingerprint end points；
Described Equations of The Second Kind characteristic point includes the crestal line point near fingerprint bifurcation；Wherein, near described fingerprint bifurcation
Crestal line point, refers to: on same crestal line, is less than the crestal line point of given threshold apart from fingerprint bifurcation.
Preferably, described fingerprint image is local fingerprint or overall fingerprint.
Preferably, small area fingerprint in local need to include wrinkle ridge line details.
Preferably, described fingerprint central point refers to: the point of crestal line maximum curvature in fingerprint image, or fingerprint image is
The geometric center of little outsourcing rectangle.
Preferably, comprising:
Referred to according to the various features information that fingerprint feature point extracts including crestal line direction, frequency, positional information
Stricture of vagina mates.
Preferably, comprising:
Before extracting fingerprint feature point, carry out normalization process, image enhancement processing, two-value successively to fingerprint image
Change and process and micronization processes.
Preferably, described fingerprint ridge line point and the distance of fingerprint bifurcation support are less than given threshold.
Preferably, the tangential direction that the attribute of first kind characteristic point includes position a little, bifurcated direction, point are located, point are attached
Any one of near ridge frequency information or a multinomial attribute.
Compared with prior art, the present invention has the advantage that
(1) method merging multiple fingerprint feature point information, the fingerprint feature point that the method is extracted includes the center of fingerprint
Point, the relevant information of bifurcation, end points and crestal line point, increased the quantity of information of small area fingerprint, substantially improve small area fingerprint
The not enough situation of amount of image information, improves fingerprint recognition precision.
Brief description
The detailed description with reference to the following drawings, non-limiting example made by reading, the further feature of the present invention,
Objects and advantages will become more apparent upon:
The flow chart of steps of the fingerprint image method for expressing based on various features point that Fig. 1 provides for the present invention.
Fig. 2 is fingerprint feature point schematic diagram.
In figure:
1- fingerprint central point
2- fingerprint bifurcation
3- fingerprint end points
4- fingerprint ridge line point
Specific embodiment
With reference to specific embodiment, the present invention is described in detail.Following examples will be helpful to the technology of this area
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill to this area
For personnel, without departing from the inventive concept of the premise, some changes and improvements can also be made.These broadly fall into the present invention
Protection domain.
A kind of fingerprint image method for expressing based on various features point being provided according to the present invention, using fingerprint identification device
Identification fingerprint, is acquired to small area fingerprint, the image of collection is stored in computer system, passes through on computers
Matlab and vc is programmed operating, comprising:
Obtain fingerprint image；
Image semantic classification, carries out normalization process, image enhancement processing, binary conversion treatment and refinement successively to fingerprint image
Process；
Fingerprint feature point is extracted from fingerprint image；
Fingerprint matching is carried out according to fingerprint feature point, with fingerprint feature point as reference, by fingerprint image to be measured and Prototype drawing
As carrying out characteristic point registration process.Extract the higher characteristic point of similarity between image, be calculated coupling fraction.
Wherein, described fingerprint feature point includes first kind characteristic point, Equations of The Second Kind characteristic point；
Described first kind characteristic point include following any one or appoint multiple points:
- fingerprint central point；
- fingerprint bifurcation；
- fingerprint end points；
Described Equations of The Second Kind characteristic point includes the crestal line point near fingerprint bifurcation.
It is local fingerprint in described fingerprint image.The gabarit of local fingerprint is rectangle.Described fingerprint central point refers to fingerprint
The point of crestal line maximum curvature in image, or in fingerprint image the minimum outsourcing rectangle of fingerprint geometric center.
Described fingerprint ridge line point is less than given threshold with the distance of fingerprint bifurcation support, that is, with fingerprint bifurcation as base
Point, extracts the point on crestal line near it, as Equations of The Second Kind characteristic point, records the relevant information of Equations of The Second Kind characteristic point.
Information near the attribute of first kind characteristic point includes position a little, bifurcated direction, point are located tangential direction, point
Any one of or appoint multinomial attribute.
Above the specific embodiment of the present invention is described.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make a variety of changes within the scope of the claims or change, this not shadow
Ring the flesh and blood of the present invention.In the case of not conflicting, feature in embodiments herein and embodiment can any phase
Mutually combine.
Claims (8)
1. a kind of fingerprint image method for expressing based on various features point is it is characterised in that extract multiple fingerprint feature points profit
It is identified with the characteristic information of described multiple fingerprint feature points, comprising:
Obtain fingerprint image；
Fingerprint image is carried out with pretreatment, described pretreatment include image enhaucament, binaryzation, in refinement any one or appoint multiple
Process；
Extract fingerprint feature point from fingerprint image, wherein, described fingerprint feature point is fingerprint ridge line details；
Wherein, described fingerprint feature point includes first kind characteristic point, Equations of The Second Kind characteristic point；
Described first kind characteristic point include following any one or appoint multiple points:
- fingerprint central point；
- fingerprint bifurcation；
- fingerprint end points；
Described Equations of The Second Kind characteristic point includes the crestal line point near fingerprint bifurcation；Wherein, the crestal line near described fingerprint bifurcation
Point, refers to: on same crestal line, is less than the crestal line point of given threshold apart from fingerprint bifurcation.
2. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that described fingerprint
Image is local fingerprint or overall fingerprint.
3. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that the little face in local
Long-pending fingerprint need to include wrinkle ridge line details.
4. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that described fingerprint
Central point refers to: the point of crestal line maximum curvature in fingerprint image, or the geometric center of fingerprint image minimum outsourcing rectangle.
5. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that include:
Fingerprint is carried out according to the various features information that fingerprint feature point extracts including crestal line direction, frequency, positional information
Join.
6. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that include:
Before extracting fingerprint feature point, to fingerprint image is carried out successively normalization process, image enhancement processing, at binaryzation
Reason and micronization processes.
7. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that described fingerprint
Crestal line point is less than given threshold with the distance of fingerprint bifurcation support.
8. the fingerprint image method for expressing based on various features point according to claim 1 is it is characterised in that the first kind is special
Arbitrary in ridge frequency information near the attribute levied a little includes position a little, bifurcated direction, point are located tangential direction, point
Item or a multinomial attribute.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610712235.2A CN106339678A (en) | 2016-08-23 | 2016-08-23 | Fingerprint image representation method based on a variety of feature points |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610712235.2A CN106339678A (en) | 2016-08-23 | 2016-08-23 | Fingerprint image representation method based on a variety of feature points |
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| CN106339678A true CN106339678A (en) | 2017-01-18 |
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| CN201610712235.2A Pending CN106339678A (en) | 2016-08-23 | 2016-08-23 | Fingerprint image representation method based on a variety of feature points |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348377A (en) * | 2019-07-09 | 2019-10-18 | 上海创米科技有限公司 | A kind of fingerprint identification method and equipment |
| CN112185495A (en) * | 2020-09-22 | 2021-01-05 | 深圳市宏泰和信息科技有限公司 | Medical equipment case data acquisition method and system |
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| CN101777128A (en) * | 2009-11-25 | 2010-07-14 | 中国科学院自动化研究所 | Fingerprint minutiae matching method syncretized to global information and system thereof |
| CN102831403A (en) * | 2012-08-10 | 2012-12-19 | 深圳市奔凯安全技术有限公司 | Identification method based on fingerprint feature points |
| US20140044322A1 (en) * | 2012-08-08 | 2014-02-13 | The Hong Kong Polytechnic University | Contactless 3D Biometric Feature identification System and Method thereof |
| CN104809464A (en) * | 2015-05-19 | 2015-07-29 | 成都英力拓信息技术有限公司 | Fingerprint information processing method |
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2016
- 2016-08-23 CN CN201610712235.2A patent/CN106339678A/en active Pending
Patent Citations (4)
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| CN101777128A (en) * | 2009-11-25 | 2010-07-14 | 中国科学院自动化研究所 | Fingerprint minutiae matching method syncretized to global information and system thereof |
| US20140044322A1 (en) * | 2012-08-08 | 2014-02-13 | The Hong Kong Polytechnic University | Contactless 3D Biometric Feature identification System and Method thereof |
| CN102831403A (en) * | 2012-08-10 | 2012-12-19 | 深圳市奔凯安全技术有限公司 | Identification method based on fingerprint feature points |
| CN104809464A (en) * | 2015-05-19 | 2015-07-29 | 成都英力拓信息技术有限公司 | Fingerprint information processing method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348377A (en) * | 2019-07-09 | 2019-10-18 | 上海创米科技有限公司 | A kind of fingerprint identification method and equipment |
| CN112185495A (en) * | 2020-09-22 | 2021-01-05 | 深圳市宏泰和信息科技有限公司 | Medical equipment case data acquisition method and system |
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