CN107704795A - Fingerprint identification method based on microspur image - Google Patents
Fingerprint identification method based on microspur image Download PDFInfo
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- CN107704795A CN107704795A CN201610645853.XA CN201610645853A CN107704795A CN 107704795 A CN107704795 A CN 107704795A CN 201610645853 A CN201610645853 A CN 201610645853A CN 107704795 A CN107704795 A CN 107704795A
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- fingerprint
- image
- matching
- identification method
- microspur
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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
- G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
-
- 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
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- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
- Image Input (AREA)
Abstract
The invention discloses a kind of fingerprint identification method based on microspur image, comprise the following steps：Fingerprint image is obtained, the fingerprint image of preset standard is reached by fingerprint sensor acquisition definition；Fingerprint image is pre-processed, image procossing, detection and identification are carried out to proving finger；Fingerprint ridge line is obtained, by the direction of streakline where every bit in fingerprint grayscale image, obtains the point directional image of whole fingerprint grayscale image, the image of high-contrast is obtained using filtering；Characteristic point is extracted, the original image of character zone is output into characteristic point calculation unit generates four layers, and the layer of generation is output into characteristic point calculation unit；Fingerprint is matched, by fingerprint to be measured and pretreatment fingerprint image contrast, when result of calculation matches, successful matching；Output matching result.The present invention can effectively lift the degree of accuracy of fingerprint recognition, there is provided more preferable human body living body characteristics detection.
Description
Technical field
The present invention relates to a kind of fingerprint identification method, more particularly to a kind of fingerprint identification method based on microspur image.
Background technology
Optical fingerprint identification system is because light can not penetrate skin surface (dead skin layer), so being merely able to scan finger
Dead skin layer is arrived in the surface of skin, or scanning, but can not go deep into skin corium.In this case, finger surface is clean
Degree, directly influence the effect of identification.If having glued more dust in user's finger, it may just occur and identify mistake
Situation.Also, if people make a fingerprint fingerprint according to finger, it is also possible to by identifying system, for a user,
Use is not very safe and stably.Traditional optical fingerprint identification technology can not carry out living body finger print discriminating.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of fingerprint identification method based on microspur image, and it can enter
Row living body finger print differentiates, can effectively lift the degree of accuracy of fingerprint recognition, there is provided more preferable human body living body characteristics detection.
The present invention is a kind of fingerprint identification method based on microspur image, it is characterised in that is comprised the following steps：
Step 1：Fingerprint image is obtained, when monitoring fingerprint recognition event, fingerprint image is obtained by fingerprint sensor；
Judge whether the definition of fingerprint image reaches preset standard, if it is not, then controlling the fingerprint sensor to heat up, and pass through fingerprint
Sensor continues to obtain fingerprint image, and the fingerprint image of preset standard is reached until getting definition, definition is reached into pre-
Accurate fingerprint image is marked with as fingerprint image to be identified；
Step 2：Fingerprint image is pre-processed, image procossing, detection and identification are carried out to proving finger；
Step 3：Fingerprint ridge line is obtained, the direction of streakline where every bit in fingerprint grayscale image is asked, obtains whole fingerprint
The point directional image of gray level image, point directional image is divided into wicket region, according to the statistical property in wicket region point direction
Window area direction is obtained, the filtering of design one, fingerprint grayscale image is filtered along finger-print region direction so that fingerprint gray scale
Image is separated on the direction perpendicular to streakline smooth along streakline direction, along can smoothly rising for streakline direction
To connection and the effect of smooth crestal line, and crestal line, the contrast of valley line are enhanced in the centrifugation on streakline direction；
Step 4：Lift characteristic point, layer separative element is based on regional determination signal, and the original image of character zone is exported
To characteristic point calculation unit, four layers are generated from the original image of photographic region, and the layer of generation is output to characteristic point meter
Calculate unit；
Step 5：Fingerprint is matched, fingerprint to be detected is compared with default fingerprint；When default fingerprint is treated with described
When detecting fingerprint matching, the angle between the fingerprint to be detected and preset reference direction is calculated；With the fingerprint to be detected
In angle group corresponding to the matching fingerprint of matching, when thering is the angle to be matched with the angle being calculated, trigger and refer to described match
Line and the operational order of the angle of matching association；
Preferably, the window area direction is rectangle.
Preferably, the matching fingerprint of the step 5 is realized by matching module.
Preferably, the fingerprint sensor is infrared sensor.
Preferably, the pretreatment fingerprint image inputs in advance.
The positive effect of the present invention is：The present invention can carry out living body finger print discriminating, can effectively lift fingerprint knowledge
Other degree of accuracy, there is provided more preferable human body living body characteristics detection.
Brief description of the drawings
Fig. 1 is the frame diagram of the fingerprint identification method based on microspur image of the present invention.
Embodiment
Below in conjunction with the accompanying drawings and embodiment describes better embodiment of the present invention in detail, and how the present invention is applied whereby
Technological means solves technical problem, and the implementation process for reaching technique effect can fully understand and implement according to this.
The present invention is able to observe that the features such as the secretion of sweat gland of skin, pore, scar by finger skin microspur image, then
It is aided with the case of polarised light to a certain extent it is observed that skin heart, pigmentation image, can provide more preferable human body and live
Body characteristicses detect.The present invention can recognize sweat gland secretion, pore, scar etc. under normal illumination image, energy under polarized light image
See blood vessel, pigmentation image, auxiliary judgment information is used as by the living body characteristics identification under both illumination conditions, coordinated
Fingerprint identification technology under the conditions of traditional optical, it can largely improve the accuracy and security of fingerprint recognition.Polarised light
Be can suppress epidermis sunlight reflection, it can be seen that because sunlight reflect and is formed bending or transmission less than position.Hand over
It by the ironing for being folded position is the same that the effect of fork polarisation, which is, is hidden in the pigmentation of bottom of bending because sticking in skin
On sweat, the grease of smegma Chu is not seen due to the reflection of sunlight, but can effectively be observed using polarisation is intersected
To the pigmentation that can't see.Again because suppressing the skin and non-fully opaque body of sunlight reflection, so through to a certain degree may be used
Effectively to see blood vessel.
Fingerprint identification method of the invention based on microspur image comprises the following steps：
Step 1：Fingerprint image is obtained, when monitoring fingerprint recognition event, fingerprint image is obtained by fingerprint sensor；
Judge whether the definition of fingerprint image reaches preset standard, if it is not, then controlling the fingerprint sensor to heat up, and pass through fingerprint
Sensor continues to obtain fingerprint image, and the fingerprint image of preset standard is reached until getting definition, definition is reached into pre-
Accurate fingerprint image is marked with as fingerprint image to be identified；
Step 2：Fingerprint image is pre-processed, image procossing, detection and identification are carried out to proving finger；
Step 3：Fingerprint ridge line is obtained, the direction of streakline where every bit in fingerprint grayscale image is asked, obtains whole fingerprint
The point directional image of gray level image, point directional image is divided into wicket region, according to the statistical property in wicket region point direction
Window area direction is obtained, the filtering of design one, fingerprint grayscale image is filtered along finger-print region direction so that fingerprint gray scale
Image is separated on the direction perpendicular to streakline smooth along streakline direction, along can smoothly rising for streakline direction
To connection and the effect of smooth crestal line, and crestal line, the contrast of valley line are enhanced in the centrifugation on streakline direction；
Step 4：Characteristic point is extracted, layer separative element is based on regional determination signal, and the original image of character zone is exported
To characteristic point calculation unit, four layers are generated from the original image of photographic region, and the layer of generation is output to characteristic point meter
Calculate unit；
Step 5：Fingerprint is matched, fingerprint to be detected is compared with default fingerprint；When default fingerprint is treated with described
When detecting fingerprint matching, the angle between the fingerprint to be detected and preset reference direction is calculated；With the fingerprint to be detected
In angle group corresponding to the matching fingerprint of matching, when thering is the angle to be matched with the angle being calculated, trigger and refer to described match
Line and the operational order of the angle of matching association；
Step 6：Output matching result.
Window area direction is rectangle, can so accommodate more spaces.
The matching fingerprint of the step 5 is realized by matching module, so improves accuracy.
Fingerprint sensor is infrared sensor, and it is more accurate so to measure.
Pretreatment fingerprint image inputs in advance, is so matched with fingerprint to be measured more convenient.
In summary, the present invention can carry out living body finger print discriminating, can effectively lift the degree of accuracy of fingerprint recognition, there is provided more
Good human body living body characteristics detection.
Particular embodiments described above, technical problem, technical scheme and the beneficial effect of the solution to the present invention are carried out
It is further described, should be understood that the specific embodiment that the foregoing is only of the invention, be not limited to
The present invention, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., it should be included in this
Within the protection domain of invention.
Claims (5)
1. a kind of fingerprint identification method based on microspur image, it is characterised in that comprise the following steps：
Step 1：Fingerprint image is obtained, when monitoring fingerprint recognition event, fingerprint image is obtained by fingerprint sensor；Judge
Whether the definition of fingerprint image reaches preset standard, if it is not, then controlling the fingerprint sensor to heat up, and passes through fingerprint sensing
Device continues to obtain fingerprint image, and the fingerprint image of preset standard is reached until getting definition, definition is reached into pre- bidding
Accurate fingerprint image is as fingerprint image to be identified；
Step 2：Fingerprint image is pre-processed, image procossing, detection and identification are carried out to proving finger；
Step 3：Fingerprint ridge line is obtained, the direction of streakline where every bit in fingerprint grayscale image is asked, obtains whole fingerprint gray scale
The point directional image of image, point directional image is divided into wicket region, obtained according to the statistical property in wicket region point direction
Window area direction, the filtering of design one, is filtered so that fingerprint grayscale image along finger-print region direction to fingerprint grayscale image
Smooth along streakline direction, and separated on the direction perpendicular to streakline, along streakline direction smoothly can the company of playing
Connect and the effect of smooth crestal line, and crestal line, the contrast of valley line are enhanced in the centrifugation on streakline direction；
Step 4：Lift characteristic point, layer separative element is based on regional determination signal, the original image of character zone is output into spy
Sign point computing unit, four layers are generated from the original image of photographic region, and the layer of generation is output to characteristic point and calculates list
Member；
Step 5：Fingerprint is matched, fingerprint to be detected is compared with default fingerprint；When default fingerprint with it is described to be detected
During fingerprint matching, the angle between the fingerprint to be detected and preset reference direction is calculated；With the fingerprint matching to be detected
Matching fingerprint corresponding to angle group in, when thering is the angle to be matched with the angle being calculated, trigger with it is described match fingerprint with
And the operational order of the angle association of matching；
Step 6：Output matching result.
2. the fingerprint identification method as claimed in claim 1 based on microspur image, it is characterised in that the window area direction
For rectangle.
3. the fingerprint identification method as claimed in claim 1 based on microspur image, it is characterised in that the matching of the step 5
Fingerprint is realized by matching module.
4. the fingerprint identification method as claimed in claim 1 based on microspur image, it is characterised in that the fingerprint sensor is
Infrared sensor.
5. the fingerprint identification method as claimed in claim 1 based on microspur image, it is characterised in that the pretreatment fingerprint image
Seem to input in advance.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610645853.XA CN107704795A (en) | 2016-08-09 | 2016-08-09 | Fingerprint identification method based on microspur image |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610645853.XA CN107704795A (en) | 2016-08-09 | 2016-08-09 | Fingerprint identification method based on microspur image |
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| CN107704795A true CN107704795A (en) | 2018-02-16 |
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| CN201610645853.XA Pending CN107704795A (en) | 2016-08-09 | 2016-08-09 | Fingerprint identification method based on microspur image |
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Cited By (2)
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| CN108805034A (en) * | 2018-05-22 | 2018-11-13 | 公安部物证鉴定中心 | A kind of fingerprint characteristic method for evaluating similarity based on probabilistic geometry feature |
| CN110481504A (en) * | 2019-07-10 | 2019-11-22 | 深圳市汇顶科技股份有限公司 | Control method for vehicle and system, fingerprint chip |
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Application publication date: 20180216 |