CN109063681A - Direction of fingerprint information acquisition method based on fingerprint phase gradient - Google Patents

Direction of fingerprint information acquisition method based on fingerprint phase gradient Download PDF

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Publication number
CN109063681A
CN109063681A CN201810983874.1A CN201810983874A CN109063681A CN 109063681 A CN109063681 A CN 109063681A CN 201810983874 A CN201810983874 A CN 201810983874A CN 109063681 A CN109063681 A CN 109063681A
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fingerprint
information
signal
phase
single base
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刘煜坤
金立文
汤炜
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Harbin University of Science and Technology
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Harbin University of Science and Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • G06V40/1359Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The present invention relates to fingerprint pretreatment technologies and direction of fingerprint technology for information acquisition, specially propose a kind of direction of fingerprint information acquisition method based on fingerprint phase gradient.The gradient information and direction of fingerprint information of fingerprint phase are orthogonal, and fingerprint phase information is monotonic increase in one cycle, therefore the present invention obtains reliable direction of fingerprint information from fingerprint phase gradient.Wherein, the phase information of fingerprint signal is the angle that real number signal rotates in single base signal complex space.Fingerprint phase information can be obtained by parsing single base signal, can remove fingerprint signal amplitude information at the same time.Wherein single base signal is by pretreated fingerprint signal and successively to be done line integral and function in the direction indicated to pretreated fingerprint signal

Description

Direction of fingerprint information acquisition method based on fingerprint phase gradient
Technical field:
The present invention relates to fingerprint pretreatment technologies and direction of fingerprint technology for information acquisition, propose a kind of based on fingerprint phase ladder The direction of fingerprint information acquisition method of degree.
Background technique:
Fingerprint identification technology is the earliest biological identification technology of research, its main feature is that convenient, safe and low in cost, identification Degree is high, therefore fingerprint recognition has become authentication mode the most commonly used in biological identification technology.Fingerprint recognition system is one The modules such as a typical pattern recognition system, including fingerprint image acquisition, pretreatment, feature extraction and matching.Wherein, fingerprint is special Sign extraction module is the important component of fingerprint recognition system, affects the degree of reliability of entire identifying system.Fingerprint characteristic Extract the extraction comprising fingerprints important feature information such as direction of fingerprint, phase, frequency, singular point, minutiae points.Believe in the direction of fingerprint Breath describes the direction mode of fingerprint ridge line, valley line, as the global reliable feature of fingerprint, Fingerprint enhancement, classification and Matching etc. plays an important role.Therefore, direction of fingerprint acquisition of information is both the important step in fingerprint identification process, It is the key link for influencing fingerprint recognition system performance.
The wide direction of fingerprint information extracting method of application is time domain gray grads method at present: when this method calculates first The corresponding gradient of image and gray scale of each pixel obtains gradient vector field in the fingerprint image of domain, further according to fingerprint ridge direction and ladder Degree direction mutually orthogonal relationship acquires direction of fingerprint information.Time domain gray grads method still has two sides in application process The deficiency in face:
On the one hand, the gradient vector length acquired is bigger, and the direction that vector is directed toward is to finally determining neighborhood direction shadow Sound is bigger, then wrong way pointed by the biggish gradient vector of length is necessarily to the accuracy in finally determining neighborhood direction It has a negative impact;
On the other hand, in extremal region i.e. in fingerprint ridge intermediate region, since fingerprint grey scale change is slow, gradient Direction is not often mutually perpendicular to fingerprint ridge direction or even random distribution, this will cause finally determining direction of fingerprint information There is discontinuous expression, and increase subsequent processing link not only and will increase the time cost of whole system, can also further influence System identification precision.
Summary of the invention:
The purpose of the present invention is to propose to a kind of direction of fingerprint information acquisition methods based on fingerprint phase gradient, can both solve Direction of fingerprint information is discontinuous and influenced problem by amplitude information in crestal line intermediate region, and can reduce computation complexity, obtains Obtain relatively reliable direction of fingerprint information.The present invention regards fingerprint as a two-dimentional amplitude-modulation frequency-modulation signal, since fingerprint signal exists There are extreme point region in fingerprint ridge intermediate region, conventional method can not be handled in the region, so as to cause tradition There is discontinuous expression in the region in the directional information that method obtains.The gradient information and direction of fingerprint information of fingerprint phase be It is orthogonal, and fingerprint phase information is monotonic increase in one cycle, extreme point region is not present, therefore the present invention is not Direction of fingerprint information is obtained by the gradient of fingerprint signal, but reliable direction of fingerprint letter is obtained from fingerprint phase gradient Breath.Wherein, the phase information of fingerprint signal is the angle that real number signal rotates in single base vector signal complex space, i.e., real number is believed Angle number between real axis.Fingerprint phase information can be obtained by parsing single base vector signal, obtain phase at the same time Fingerprint signal amplitude information can be removed in the process.Wherein single base vector signal is by pretreated fingerprint signal and successively right Pretreated fingerprint signal is done line integral and function in the direction indicatedTwo components obtained after convolution operation Composition.
It is compared with the traditional method, on the one hand, the present invention obtains direction of fingerprint letter from the gradient information of fingerprint phase information The operation of breath can directly eliminate the influence of the amplitude information in fingerprint signal, obtain relatively reliable direction of fingerprint information.Another party Face, the discontinuous problem of directional information invention also avoids time domain gray grads method in fingerprint ridge intermediate region are reduced Subsequent processing link.
Above-mentioned purpose is achieved through the following technical solutions:
A kind of direction of fingerprint information acquisition method based on fingerprint phase gradient.The method of the present invention includes the following steps:
(1) fingerprint image preprocessing: the present invention regards fingerprint as a two-dimentional amplitude-modulation frequency-modulation signal, accurately to be referred to Line directional information should first eliminate noise and grey level compensation value in fingerprint signal.The present invention is filtered out using gauss low frequency filter Noise, filter parameter are determined by fingerprint ridge mean breadth;Fingerprint grey level compensation value is calculated using mean filter and is incited somebody to action It is filtered out.
(2) phase information obtains: the present invention first does line integral to fingerprint signal in the direction indicated, following and functionThen convolution obtains two components of single base vector signal in complex plane according to Fourier's Slice Theorem, and believes with fingerprint Number constitute three-dimensional single base vector signal.Again by the property of single base signal it is found that during signal modulation, any complex signal exists The value at certain moment can by real number signal complex number space inward turning transfer Lai.The complex plane projection of gained list base signal and horizontal seat The angle of parameter is the local direction information of fingerprint signal, and the local phase information of fingerprint signal is real number signal in complex space Angle between the angle of middle rotation, i.e. complex signal and real axis.Last this method carries out the list base signal under polar coordinates It solves, solves fingerprint local direction information and phase information.
(3) reliable direction acquisition of information: the present invention obtains relatively reliable finger by calculating the gradient of fingerprint local phase Line directional information, while the influence of amplitude information in fingerprint signal is eliminated, it avoids solving direction of fingerprint in time domain gray grads method The discontinuous problem of information reduces subsequent processing link.
The utility model has the advantages that
1. conventional method thinks that direction of fingerprint information can only be obtained in the gradient of fingerprint grayscale image, but due to fingerprint ash Spending image, there are extreme point information, unreliable so as to cause acquisition directional information;And the present invention has broken the think of of conventional method Think, and obtain direction of fingerprint information in the gradient of fingerprint phase, and fingerprint phase information is monotonic increase within the period, no There are extreme point information, therefore are continuously, not generate noise, obtained directional information in the direction that fingerprint ridge middle obtains It is relatively reliable, without post-treatment operations are increased, to improve fingerprint recognition system efficiency.
2. the present invention eliminates fingerprint amplitude information, the direction of each pixel of acquisition while obtaining phase information Information be to the Block direction informational influence of fingerprint it is identical, also prevent noise disperse.Under same scale, present invention acquisition side It is more preferable to information noiseproof feature.
Specific embodiment:
1. fingerprint image preprocessing
The present invention regards fingerprint image as a two-dimentional FM amplitude modulation signal, i.e. fingerprint signal can indicate in two-dimensional space Are as follows:
Wherein, a (x, y) is the grey level compensation value of fingerprint image, and b (x, y) is the amplitude of modulated signal,For fingerprint Phase information, n (x, y) are the high-frequency noise in image.
To given fingerprint signal T (x, y), the height in signal is filtered out respectively using gauss low frequency filter and mean filter Frequency noise n (x, y) and grey level compensation item a (x, y) obtains fingerprint signal only comprising amplitude and phase information:
2. phase information obtains
Line integral is done in the direction indicated to fingerprint signal to obtain:
R { f } (t, θ)=∫ f (x, y) δ (xcos θ+ysin θ-t) d (x, y) (3)
Wherein θ ∈ [0, π), i.e. direction of fingerprint information, t be with horizontal direction angle be θ straight line it is nearest to coordinate origin Distance, δ is impulse function.
Fingerprint is done to the signal and function that line integral obtains in the direction indicatedConvolution then switches in frequency domain, Law is sliced further according to Fourier to obtain:
Wherein, F1{ } (u, θ) be 2D signal direction θ ∈ [0, π) on one-dimensional Fourier transform.Pass through Fourier Two components then can be obtained in inverse transformation
Two components of single base signal can be obtained
It can obtain
This step seeks the direction letter of fingerprint image according to the property of two components of single base signal complex field under polar coordinates Breath:
According to single base signal each vector [f, fx,fy] between relationship, demodulate fingerprint local phase information.
3. reliable direction acquisition of information
Fingerprint local phase describes fingerprint ridge structural information, and direction of fingerprint letter is contained in the gradient information of phase Breath.

Claims (4)

1. a kind of direction of fingerprint information acquisition method based on fingerprint phase gradient, which is characterized in that by fingerprint image preprocessing, Phase information obtains and three step compositions of acquisition of reliable direction information.
2. a kind of direction of fingerprint information acquisition method based on fingerprint phase gradient according to claim 1, feature exist In the fingerprint image preprocessing step specifically: the present invention regards fingerprint as a two-dimentional amplitude-modulation frequency-modulation signal, to obtain Accurate direction of fingerprint information, should first eliminate the noise and grey level compensation value in fingerprint signal, and the present invention uses Gaussian low pass Wave device filters out noise, and filter parameter is determined by fingerprint ridge mean breadth;Fingerprint gray scale is calculated using mean filter to mend It repays value and is filtered out.
3. a kind of direction of fingerprint information acquisition method based on fingerprint phase gradient according to claim 1, feature exist In the phase information obtaining step specifically: the present invention first does line integral to fingerprint signal in the direction indicated, connects down Come with 1/ π t convolution of function, two components of single base vector signal in complex plane are then obtained according to Fourier's Slice Theorem, And three-dimensional single base vector signal is constituted with fingerprint signal, then by the property of single base signal it is found that during signal modulation, arbitrarily The value of complex signal at a certain moment can be transferred by real number signal in complex number space inward turning Lai the complex plane of gained list base signal is thrown Shadow and the angle of horizontal axis are the local direction information of fingerprint signal, and the local phase information of fingerprint signal is real number letter Number angle rotated in complex space, i.e. angle between complex signal and real axis, last this method is under polar coordinates to the list Base signal is solved, and fingerprint local direction information and phase information are solved.
4. a kind of direction of fingerprint information acquisition method based on fingerprint phase gradient according to claim 1, feature exist In the obtaining step of the reliable direction information specifically: the present invention is obtained more by calculating the gradient of fingerprint local phase Add reliable direction of fingerprint information, while eliminating the influence of amplitude information in fingerprint signal, avoids asking in time domain gray grads method The discontinuous problem of direction of fingerprint information is solved, subsequent processing link is reduced.
CN201810983874.1A 2018-08-28 2018-08-28 Direction of fingerprint information acquisition method based on fingerprint phase gradient Pending CN109063681A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109858418A (en) * 2019-01-23 2019-06-07 上海思立微电子科技有限公司 The treating method and apparatus of fingerprint image
CN110705436A (en) * 2019-09-27 2020-01-17 哈尔滨理工大学 Continuous fingerprint frequency field acquisition method
CN112084999A (en) * 2020-09-22 2020-12-15 哈尔滨理工大学 Method for acquiring fingerprint direction information through signal analysis
CN112329591A (en) * 2020-10-30 2021-02-05 成都凯天电子股份有限公司 Digital signal processing method for eliminating glitch interference signal

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101241545A (en) * 2007-02-06 2008-08-13 西北工业大学 Phase displacement fuzzy difference binaryzation method in fingerprint digital picture processing
CN106022348A (en) * 2016-07-01 2016-10-12 昆明理工大学 Finger retrieving method base on specific point direction field and fingerprint projection
US20170083742A1 (en) * 2015-09-22 2017-03-23 Safran Identity & Security Method for extracting morphological characteristics from a sample of biological material
CN107463916A (en) * 2017-08-16 2017-12-12 哈尔滨理工大学 Fingerprint minutiae feature acquisition methods based on spiral operator
CN107506742A (en) * 2017-09-05 2017-12-22 哈尔滨理工大学 Direction of fingerprint characteristic-acquisition method based on fringe

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101241545A (en) * 2007-02-06 2008-08-13 西北工业大学 Phase displacement fuzzy difference binaryzation method in fingerprint digital picture processing
US20170083742A1 (en) * 2015-09-22 2017-03-23 Safran Identity & Security Method for extracting morphological characteristics from a sample of biological material
CN106022348A (en) * 2016-07-01 2016-10-12 昆明理工大学 Finger retrieving method base on specific point direction field and fingerprint projection
CN107463916A (en) * 2017-08-16 2017-12-12 哈尔滨理工大学 Fingerprint minutiae feature acquisition methods based on spiral operator
CN107506742A (en) * 2017-09-05 2017-12-22 哈尔滨理工大学 Direction of fingerprint characteristic-acquisition method based on fringe

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
严汇莹: "一种免校准指纹相位特征提取算法的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109858418A (en) * 2019-01-23 2019-06-07 上海思立微电子科技有限公司 The treating method and apparatus of fingerprint image
CN110705436A (en) * 2019-09-27 2020-01-17 哈尔滨理工大学 Continuous fingerprint frequency field acquisition method
CN112084999A (en) * 2020-09-22 2020-12-15 哈尔滨理工大学 Method for acquiring fingerprint direction information through signal analysis
CN112329591A (en) * 2020-10-30 2021-02-05 成都凯天电子股份有限公司 Digital signal processing method for eliminating glitch interference signal
CN112329591B (en) * 2020-10-30 2024-03-29 成都凯天电子股份有限公司 Digital signal processing method for eliminating burr interference signals

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