CN107273851B - A kind of fingerprint sensing systems - Google Patents
A kind of fingerprint sensing systems Download PDFInfo
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- CN107273851B CN107273851B CN201710453478.3A CN201710453478A CN107273851B CN 107273851 B CN107273851 B CN 107273851B CN 201710453478 A CN201710453478 A CN 201710453478A CN 107273851 B CN107273851 B CN 107273851B
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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
- G06V40/13—Sensors therefor
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
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Abstract
The present invention provides a kind of fingerprint sensing systems, including fingerprint sensor module, analog-to-digital conversion module, finger print data processing module and memory module, the fingerprint sensor module is for obtaining target fingerprint image；The analog-to-digital conversion module is used to target fingerprint image being transformed into digital signal from analog signal, obtains digital fingerprint signal；The Fingerprint Processing Module is compressed for digital fingerprint signal, obtains compressed digital fingerprint signal；The memory module is for storing compressed digital fingerprint signal.The collected fingerprint image of sensor is converted into digital signal by the present invention, and it is stored again after carrying out compression processing, increase the data volume that fixed storage space can store, reduce carrying cost, it can be applied to multiple fields, such as fingerprint reading card device, the huge system of fingerprint ID authentication system data volume or device.
Description
Technical field
The present invention relates to fingerprint sensing fields, and in particular to a kind of fingerprint sensing systems.
Background technique
Fingerprint sensing systems or fingerprint sensing device are logical when needing to store in face of huge finger print data in the related technology
Huge memory space is often needed, and with finger print identifying, universal and fingerprint image clarity the raising of verifying, it needs
Memory space will be increasing, cause the replacement of memory very frequent, but in fact can by filter out it is some inessential or
Person influences little details in fingerprint information, and reduction, which accounts for, deposits and will not improve validation error to fingerprint authentication.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of fingerprint sensing systems.
The purpose of the present invention is realized using following technical scheme：
A kind of fingerprint sensing systems, a kind of fingerprint sensing systems, characterized in that turn including fingerprint sensor module, modulus
Change the mold block, finger print data processing module and memory module, the fingerprint sensor module and the wired company of the analog-to-digital conversion module
It connects, for obtaining target fingerprint image；The analog-to-digital conversion module and the Fingerprint Processing Module wired connection are used for target
Fingerprint image is transformed into digital signal from analog signal, obtains digital fingerprint signal；The Fingerprint Processing Module and the storage
Module wired connection, is compressed for digital fingerprint signal, obtains compressed digital fingerprint signal；The memory module is used
In the compressed digital fingerprint signal of storage.
Beneficial effects of the present invention are：The collected fingerprint image of sensor is converted into digital signal by the present invention, is gone forward side by side
It is stored again after row compression processing, increases the data volume that fixed storage space can store, reduce carrying cost, can answer
For multiple fields, such as fingerprint reading card device, the huge system of fingerprint ID authentication system data volume or device.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is frame construction drawing of the invention；
Fig. 2 is the frame construction drawing of finger print data processing module of the invention.
Appended drawing reference：
Fingerprint sensor module 1, analog-to-digital conversion module 2, finger print data processing module 3, processing of memory module 4, first
Module 301, second processing submodule 302 and Error processing submodule 303.
Specific embodiment
In conjunction with following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of fingerprint sensing systems of the present embodiment, a kind of fingerprint sensing systems, characterized in that including fingerprint
Sensor module 1, analog-to-digital conversion module 2, finger print data processing module 3 and memory module 4, the fingerprint sensor module 1 with
2 wired connection of analog-to-digital conversion module, for obtaining target fingerprint image；At the analog-to-digital conversion module 2 and the fingerprint
It manages 3 wired connection of module and obtains digital fingerprint signal for target fingerprint image to be transformed into digital signal from analog signal；
The Fingerprint Processing Module 3 and 4 wired connection of memory module, are compressed for digital fingerprint signal, after obtaining compression
Digital fingerprint signal；The memory module 4 is for storing compressed digital fingerprint signal.
Preferably, the fingerprint sensor module includes fingerprint reading device, and the fingerprint reading device is electrostatic capacitance
Type finger print reading sensor, liquid crystal board are arranged as the transparent substrates liquid crystal board of two-dimensional array using detection electrode.
Preferably, the detection electrode is transparent electrode.
The collected fingerprint image of sensor is converted into digital signal, and carried out at compression by the above embodiment of the present invention
It is stored again after reason, increases the data volume that fixed storage space can store, reduce carrying cost, can be applied to a variety of
Field, such as fingerprint reading card device, the huge system of fingerprint ID authentication system data volume or device.
Preferably, as shown in Fig. 2, the finger print data processing module includes the first processing submodule, second processing submodule
Block and Error processing submodule；
The first processing submodule calculates the time of digital fingerprint signal using customized boundary operator calculation formula
Then data point in fingerprint boundary operator and time series is carried out convolution fortune by the fingerprint boundary operator of data point in sequence
It calculates, obtains the edge amplitude of each data point, specially：
(1) member in target fingerprint image construction the time series N, N that the analog-to-digital conversion module is converted within x period
Element includes finger print data value and moment, note
N={ n1=(g1, τ1), n2=(g2, τ2), n3=(g3, τ3) ..., nx=(gx, τx), brief note
N={ n1, n2, n3..., nx, x is the length of time series N, nx=(gx, τx) indicate time series in τxMoment
Finger print data value is gxFinger print data point；
The fingerprint boundary operator for calculating data point in time series N one by one, defines the fingerprint side of data point in time series N
Edge operator is：
T(a)u=(nu+a-na)
In formula, T (a)uIndicate fingerprint boundary operator when u-th of time increment is a, nu+aAnd naRespectively time sequence
U+a and the finger print data at a-th of moment point in N are arranged, u indicates u-th of time, and a indicates incremental time, 1≤u≤x ,-b≤a
≤ b, b are boundary operator detection window length, and b is set as 3；
(2) edge amplitude of each data point in time series N, the customized edge amplitude calculation formula of use are calculated
For：
wu=∑ (nu+a*T(a)u-na*T(a)u)
In formula, wuIndicate the edge amplitude at u-th of moment, nu+aFor the finger print data point at u+a moment in time series N,Indicate discrete convolution, T (a)uIndicate fingerprint boundary operator when u-th of time increment is a；
Edge amplitude indicates the variation tendency of sequence in the finger print data vertex neighborhood, near the more big then point of edge amplitude
Finger print data fluctuation is more violent；Lesser edge amplitude indicates that the finger print data point in its neighborhood lies substantially in same variation and becomes
Gesture.
The above embodiment of the present invention calculates fingerprint boundary operator using passing through, then by fingerprint boundary operator and fingerprint number
Strong point carries out convolution algorithm, is conducive to filter out target fingerprint picture noise, and the time series of digital fingerprint signal is smoothed, and
The data point in time series to be treated is subjected to the operation that cooperates, certain journey with other data points when carrying out convolution algorithm
Operand is reduced on degree, avoids the operation complex situations occurred when individually being calculated.
Preferably due to which the target fingerprint image of fingerprint sensor module acquisition obtains after analog-to-digital conversion module is converted
Data constitute time series N be a time-varying non-stationary random process, over time, data characteristics may
It changes, to influence judgement and selection to time series data marginal point, for the generation for avoiding such case, described the
Two processing modules are by edge amplitude wuDigital quantization processing is carried out, edge strength is obtained, chooses the big finger print data of edge strength
Point be used as target fingerprint image border point, wherein the customized edge strength calculation formula used for：
In formula, QuFor the edge strength at u-th of moment, b is the boundary operator detection window length of setting, b ≠ 0, h ()
To select function, z is the variable for selecting function, wuAnd wzFor the edge amplitude at u-th of moment and z-th of moment；
Choose the edge strength Q within the scope of detection windowuFor extreme value data point as target fingerprint image border point.
The above embodiment of the present invention handles edge amplitude progress digital quantization to obtain edge strength, utilizes edge strength
Rather than edge amplitude chooses target fingerprint image border point, when avoiding the feature of target fingerprint image and changing
It causes target fingerprint image border point mistake to choose, while directly target fingerprint image border point is carried out using edge strength
Selection reduces the operand of second processing submodule, this fingerprint sensing systems is run on limited hardware resource.
Preferably, the Error processing module is used in the identical situation of edge strength, and it is lesser to choose interpolation error
Point be used as target fingerprint image border point, the interpolation error calculation formula used for：
In formula, C indicates interpolation error, and 0 < p < s < q < x, x are the length of time series N, q, p, s respectively indicate q, p,
S moment, nq、np、nsRespectively indicate the finger print data point at q, p, s moment；
ns LIndicate that the fitting data point being calculated using linear interpolation method at the s moment, L indicate linear interpolation；
Calculating required target fingerprint sum of image edge points mesh is M, and M=x × (1- μ), x are the length of time series N, μ
For the compression ratio of setting, and the lesser M data point of interpolation error is chosen as finally determining target fingerprint image border point；
Finally obtain a new time series N '={ n1', n2', n3' ..., nx', nx' indicate by compressed the
X finger print data point.
The above embodiment of the present invention, it is contemplated that the selection in the identical situation of edge strength to target fingerprint marginal point has
Conducive to guaranteeing that important information is not lost in original target fingerprint image, guarantee accuracy when carrying out fingerprint authentication or certification,
And remain the Main Morphology of time series when to the compression of digital fingerprint signal and minor details are compressed, reduce this
Data traffic in fingerprint sensing systems reduces communication energy consumption, can adapt to the time series of different fluctuation characteristics.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (2)
1. a kind of fingerprint sensing systems, characterized in that including fingerprint sensor module, analog-to-digital conversion module, finger print data processing
Module and memory module, the fingerprint sensor module and the analog-to-digital conversion module wired connection, for obtaining target fingerprint
Image；The analog-to-digital conversion module and the Fingerprint Processing Module wired connection, for by target fingerprint image from analog signal
It is transformed into digital signal, obtains digital fingerprint signal；The Fingerprint Processing Module and the memory module wired connection, for counting
Word fingerprint signal is compressed, and compressed digital fingerprint signal is obtained；The memory module is for storing compressed number
Fingerprint signal；
The fingerprint sensor module includes fingerprint reading device, and the fingerprint reading device is that capacitance type fingerprint reads biography
Sensor, liquid crystal board are arranged as the transparent substrates liquid crystal board of two-dimensional array using detection electrode；
The detection electrode is transparent electrode；
The finger print data processing module includes the first processing submodule, second processing submodule and Error processing submodule；
The first processing submodule calculates the time series of digital fingerprint signal using customized boundary operator calculation formula
Then data point in fingerprint boundary operator and time series is carried out convolution algorithm, obtained by the fingerprint boundary operator of middle data point
The edge amplitude of each data point is obtained, specially：
(1) the element packet in target fingerprint image construction the time series N, N that the analog-to-digital conversion module is converted within x period
Finger print data value and moment are included, remembers N={ n1=(g1,τ1),n2=(g2,τ2),n3=(g3,τ3),…,nx=(gx,τx), brief note
N={ n1,n2,n3,…,nx, x is the length of time series N, nx=(gx,τx) indicate time series in τxMoment finger print data value
For gxFinger print data point；
The fingerprint boundary operator for calculating fingerprint data point in time series N one by one, defines the fingerprint side of data point in time series N
Edge operator is：
T(a)u=(nu+a-na)
In formula, T (a)uIndicate fingerprint boundary operator when u-th of time increment is a, nu+aAnd naRespectively time series N
In u+a and the finger print data at a-th of moment point, u indicate u-th of moment, a indicate incremental time, 1≤u≤x ,-b≤a≤b,
B is boundary operator detection window length；
(2) calculate time series N in each data point edge amplitude, the customized edge amplitude calculation formula used for：
wu=∑ (nu+a*T(a)u-na*T(a)u)
In formula, wuIndicate the edge amplitude at u-th of moment, nu+aFor the finger print data point at u+a moment in time series N, * is indicated
Discrete convolution, T (a)uIndicate fingerprint boundary operator when u-th of time increment is a；
The second processing submodule is used for edge amplitude wuDigital quantization processing is carried out, edge strength is obtained, it is strong to choose edge
Spend big data point as target fingerprint image border point, wherein the customized edge strength calculation formula used for：
In formula, QuFor the edge strength at u-th of moment, b is the boundary operator detection window length of setting, and b ≠ 0, h () are choosing
Function is selected, z is the variable for selecting function, wuAnd wzFor the edge amplitude at u-th of moment and z-th of moment；
Choose the edge strength Q within the scope of detection windowuFor extreme value data point as target fingerprint image border point.
2. a kind of fingerprint sensing systems according to claim 1, characterized in that the Error processing module is used at edge
In the identical situation of intensity, chooses the lesser point of interpolation error and be used as target fingerprint image border point, the interpolation error meter of use
Calculating formula is：
In formula, C expression interpolation error, 0<p<s<q<X, x are the length of time series N, and q, p, s respectively indicate q, p, s moment, nq、
np、nsRespectively indicate the finger print data point at q, p, s moment；
ns LIndicate that the fitting data point being calculated using linear interpolation method at the s moment, L indicate linear interpolation；
Calculating required target fingerprint sum of image edge points mesh is M, and M=x × (1- μ), x are the length of time series N, and μ is to set
Fixed compression ratio, and the lesser M data point of interpolation error is chosen as finally determining target fingerprint image border point；
Finally obtain a new time series N '={ n1′,n2′,n3′,…,nx', nx' indicate by compressed x-th finger
Line data point.
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| CN1841406A (en) * | 2005-03-31 | 2006-10-04 | 芯微技术（深圳）有限公司 | Binary processing method for decreasing fingerprint collection data volume |
| CN101819630A (en) * | 2010-04-09 | 2010-09-01 | 浙江理工大学 | Fingerprint identification system and identification method based on pressure sensitivity fingerprint acquisition and DSP (Digital Signal Processing) algorithm |
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| EP3051700A1 (en) * | 2015-01-29 | 2016-08-03 | HGST Netherlands B.V. | Hardware efficient fingerprinting |
| CN106056119A (en) * | 2016-05-24 | 2016-10-26 | 深圳市至高通信技术发展有限公司 | Fingerprint photograph compression transmission method and system |
| CN106203303A (en) * | 2016-06-30 | 2016-12-07 | 北京小米移动软件有限公司 | Fingerprint identification device and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105491614A (en) * | 2016-01-22 | 2016-04-13 | 中国地质大学（武汉） | Wireless sensor network abnormal event detection method and system based on secondary mixed compression |
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|---|---|---|---|---|
| CN1841406A (en) * | 2005-03-31 | 2006-10-04 | 芯微技术（深圳）有限公司 | Binary processing method for decreasing fingerprint collection data volume |
| CN101819630A (en) * | 2010-04-09 | 2010-09-01 | 浙江理工大学 | Fingerprint identification system and identification method based on pressure sensitivity fingerprint acquisition and DSP (Digital Signal Processing) algorithm |
| CN101925091A (en) * | 2010-07-29 | 2010-12-22 | 中国地质大学（武汉） | Data compression method of wireless sensor network nodes based on non-threshold |
| EP3051700A1 (en) * | 2015-01-29 | 2016-08-03 | HGST Netherlands B.V. | Hardware efficient fingerprinting |
| CN106056119A (en) * | 2016-05-24 | 2016-10-26 | 深圳市至高通信技术发展有限公司 | Fingerprint photograph compression transmission method and system |
| CN106203303A (en) * | 2016-06-30 | 2016-12-07 | 北京小米移动软件有限公司 | Fingerprint identification device and method |
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