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Spoofing protection for fingerprint scanner by fusing ridge signal and valley noise
2010
Pattern Recognition
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Based on these features, separation (live/spoof) is performed using standard pattern classification tools including classification trees and neural networks. ...
In this paper, an anti-spoofing detection method is proposed which is based on ridge signal and valley noise analysis, to quantify perspiration patterns along ridges in live subjects and noise patterns ...
However, the percentage of best quality spoof images detected as live is still extremely low at 2.97%. ...
doi:10.1016/j.patcog.2010.01.023
fatcat:3oqhmcgx3rcqxn64timnqbrqfi
Combining perspiration- and morphology-based static features for fingerprint liveness detection
2012
Pattern Recognition Letters
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They have been taken from the Liveness Detection Competition 2009 whose data have been acquired by using three different optical sensors. ...
Both such features provide discriminant information about live and fake fingers, then, it is reasonable to investigate also their joint contribution. ...
Stephanie Schuckers of the Department of Electrical and Computer Engineering, Clarkson University, Potsdam (NY) for her useful talks, Prof. ...
doi:10.1016/j.patrec.2012.01.009
fatcat:ssraadtizra23fo4aoacyc3gii
Fingerprint Liveness Detection Based on Quality Measures
[article]
2022
arXiv
pre-print
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The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different ...
A new fingerprint parameterization for liveness detection based on quality measures is presented. ...
G. is supported by a FPU Fellowship from the Spanish MEC, F. A.-F. is supported by a Juan de la Cierva Fellowship from the Spanish MICINN, and J. ...
arXiv:2207.04809v1
fatcat:djraw52gvndzpg2ftnr5bla76u
Fake-fingerprint detection using multiple static features
2009
Optical Engineering: The Journal of SPIE
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For performance evaluation and comparison, a total of 7200 live images and 9000 fake images were collected using four sensors ͑three optical and one capacitive͒. ...
Recently, fake fingerprints have become a serious concern for the use of fingerprint recognition systems. We introduce a novel fakefingerprint detection method that uses multiple static features. ...
Acknowledgment This work was supported by the Korea Science and Engineering Foundation ͑KOSEF͒ through the Biometrics Engineering Research Center ͑BERC͒ at Yonsei University, R112002105070010͑2008͒. ...
doi:10.1117/1.3114606
fatcat:2lh63c7jevaxlmt2z6jtvabewq
Fingerprint features-statistical analysis and system performance estimates
1997
Proceedings of the IEEE
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This paper also discusses the statistics of fingerprint pores and the efficacy of using pores in addition to the traditionally used minutiae to improve system performance. ...
In addition, this paper links together the realms of automated matching and statistical evaluations of fingerprint features. ...
The pore's position, size, and shape are features that make it distinct from other objects in an image. Techniques used for the fingerprint data capture can be used to enhance the pore information. ...
doi:10.1109/5.628710
fatcat:lnc6baqebvb3xaszgijo47vd6y
Fingerprint liveness detection based on quality measures
2009
2009 First IEEE International Conference on Biometrics, Identity and Security (BIdS)
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The novel feature set is used in a complete liveness detection system and tested on the development set of the LivDET competition, comprising over 4,500 real and fake images acquired with three different ...
A new fingerprint parameterization for liveness detection based on quality measures is presented. ...
G. is supported by a FPU Fellowship from the Spanish MEC, F. A.-F. is supported by a Juan de la Cierva Fellowship from the Spanish MICINN, and J. ...
doi:10.1109/bids.2009.5507534
fatcat:7opmwiznlra4lc7ov6ttmhbtxu
Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein
2012
International Journal of Computer Applications
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Most of the existing work is systematically described and compared in five parts, i.e., fingerprint and finger vein image acquisition, preprocessing, feature extraction, feature matching and fusion. ...
This multimodal technology has reached an unparalleled level of security, accuracy and performance. ...
Fingerprints and finger vein are first preprocessed separately, then minutiae's are extracted, and then feature level fusion is done by concatenating the feature points obtained from fingerprint and finger ...
doi:10.5120/8042-1358
fatcat:565kfedazzc55fhbr75eewdh7y
A Behavioral-Based Fingerprint Liveness and Willingness Detection System
2022
Applied Sciences
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Attackers have developed many approaches to deceive a fingerprint verification system, ranging from the sensor level, where gummy fingers are created, to gaining access to the decision-maker level, where ...
Further, a legitimate user was chosen to participate in an experiment that mimicked an attempt to use their fingertip unwillingly to detect coerced fingerprint placement. ...
Grant: S-1443-0033 and thank the Sensor Networks and Cellular Systems (SNCS) research center for the support. ...
doi:10.3390/app122211460
fatcat:juk2zwjrjfg3bnmcpevyj2o7by
A Contemporary Survey of Multimodal Presentation Attack Detection Techniques: Challenges and Opportunities
2021
SN Computer Science
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This paper presents a comprehensive review of various liveness detection techniques based on a multimodal biometric system, in which physiological and behavioral properties are used to differentiate between ...
from original user". ...
[25] proposed a method for liveness detection in which spatial analysis of the fingerprint pattern and statistical texture features were used to differentiate between fake and real images. ...
doi:10.1007/s42979-020-00425-3
fatcat:zflh4h5yqze6tldgmcgbifczcm
An Innovation In Multi-Model Biometric Techniques
2018
Zenodo
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Multi-model recognition system is better as compare to single model because if one model is intruded another template is used. ...
In this paper gives an overview of working, challenges of face recognition and fingerprint recognition system. ...
The noise presence in the fingerprint images is used to differentiate between live and spoof image, where the presence of noise features are due to the coarseness of the fake finger surface [53] . ...
doi:10.5281/zenodo.1459100
fatcat:tfrxkyhzqbba5mp4ab522dn7pu
Fingerprint Smear Detection Based on Subband Feature Representation
2011
EURASIP Journal on Advances in Signal Processing
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Finally, DCT decomposition is used to detect abnormalities in fingerprint images containing small smear areas and abrupt breakages. ...
This paper presents a novel fingerprint image smear detection approach integrating symmetric wavelet transform (SWT), gray level co-occurrence matrix, and DCT. ...
For smear detection on fingerprint image level, a correct detection rate of 88.5% is achieved and the false positive rate is 0.19%. ...
doi:10.1155/2011/412647
fatcat:f7l4nvg3p5gdrl2b3xjqq4jmvy
Uniform Local Binary Pattern for Fingerprint Liveness Detection in the Gaussian Pyramid
2018
Journal of Electrical and Computer Engineering
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To solve the above problem and discriminate true fingerprint from fake ones, a novel software-based liveness detection approach using uniform local binary pattern (ULBP) in spatial pyramid is applied to ...
Experiments based on standard databases, taken from Liveness Detection Competition 2013 composed of four different fingerprint sensors, have been carried out. ...
Nikam and Agarwal detected the fingerprint liveness based on ridgelet transform to extract texture features using only single fingerprint image [13] . ...
doi:10.1155/2018/1539298
fatcat:olr7n3gqxjfilhssdzp2n63p2m
An Efficient Method for Extracting the Necessary Features in a Multimodal Biometrics
2019
International journal of recent technology and engineering
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Preprocessing the acquired image and extracting the necessary features from the preprocessed image are very important for any image based applications. ...
Identifying the person using the unique textures of face, ear and fingerprint can be extracted very swiftly during the recognition process. ...
[8] used 3D ear images and 2D face images. Active shape model and Gabor filters are used to extract from face images. Shape from shading algorithm was used to obtain the 3D ear images. ...
doi:10.35940/ijrte.b1197.0782s419
fatcat:fudneik26jagdjjfulwv7z24pa
A REVIEW ON DIGITAL IMAGE PROCESSING: APPLICATIONS, TECHNIQUES AND APPROACHES IN VARIOUS FIELDS
2020
Zenodo
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The advantages and limitations of certain strategies and algorithms used in image processing such as SIFT, SURF, BRIEF and ORB are discussed in detail. ...
Digital image processing (DIP) is being used in various applications such as video modification, biometric systems in offices, endoscopy, quality monitoring in textile and other prodcution industries, ...
Zimmer et al. [9] created a active contour (snakers) method to detect the mobility of live cells. Coskun et al. [10] used the inverse modelling to detect the mobility of living cells. Mukherjee et al. ...
doi:10.5281/zenodo.3953440
fatcat:nhpr3lzwv5g2vjibks7u3tftxm
LATENT FINGERPRINT AND VEIN MATCHING USING RIDGE FEATURE IDENTIFICATION
2014
International Journal of Research in Engineering and Technology
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Latent prints are partial prints, invisible and it had been get from accidental impressions of crime scenes. ...
To reduce these attacks, we propose an algorithm, Ridge Feature Identification and it may combine the work of taking distance minutiae calculation and the finger-vein matching to become the system more ...
may produce the pattern type and ridge flow features present in our fingers and it may be got from a low-resolution images, and this features are used only for fingerprint classification. ...
doi:10.15623/ijret.2014.0319004
fatcat:np242wuvqzbrnaw6lvuklnvy3u
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