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Neural-based quality measurement of fingerprint images in contactless biometric systems
2010
The 2010 International Joint Conference on Neural Networks (IJCNN)
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In this paper, we present a neural-based approach for the quality estimation of the contactless fingertips images. ...
Traditional fingerprint biometric systems capture the user fingerprint images by a contact-based sensor. ...
CONCLUSIONS This paper presented an approach for the quality measurement of contactless fingerprint images based on a neural classification system. ...
doi:10.1109/ijcnn.2010.5596694
dblp:conf/ijcnn/LabatiPS10
fatcat:3c344blti5e3fidfjmeudlryvi
Contactless fingerprint recognition: A neural approach for perspective and rotation effects reduction
2013
2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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Contactless fingerprint recognition systems are being researched in order to reduce intrinsic limitations of traditional biometric acquisition technologies, encompassing the release of latent fingerprints ...
On the evaluated dataset of 800 contactless images, the proposed method permitted to decrease the equal error rate of the used biometric system from 3.04% to 2.20%. ...
Contactless fingerprint recognition systems based on single CCD cameras therefore result more suitable. Examples of this kind of biometric systems are described in [4, 5, [7] [8] [9] [10] . ...
doi:10.1109/cibim.2013.6607909
dblp:conf/cibim/LabatiGPS13
fatcat:ziwy6md5uvfipkartrs6ngmtqa
A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions
2021
IEEE Open Journal of the Computer Society
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systems, and point out the future development direction of contactless fingerprint biometrics. ...
These advantages have paved the way for new 2D or 3D contactless fingerprint-based applications and have promoted a larger number of academic publications in recent years. ...
In these systems, a high-quality fingerprint image is selected from frames of a short video. Alkhathami et al. ...
doi:10.1109/ojcs.2021.3119572
fatcat:t57zwgsq4bdghgkqzui4ajh54u
Contactless Fingerprint Recognition Using Deep Learning—A Systematic Review
2022
Journal of Cybersecurity and Privacy
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Contactless fingerprint identification systems have been introduced to address the deficiencies of contact-based fingerprint systems. ...
A number of studies have been reported regarding contactless fingerprint processing, including classical image processing, the machine-learning pipeline, and a number of deep-learning-based algorithms. ...
The general biometric workflow of a contactless fingerprint recognition system is described in Figure 3 . ...
doi:10.3390/jcp2030036
fatcat:ugz24t4cxffwbomrzl2cyyxq6m
Deep Learning-Based Approaches for Contactless Fingerprints Segmentation and Extraction
[article]
2023
arXiv
pre-print
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This dependency on specific hardware or sensors creates a barrier or challenge for the broader adoption of fingerprint based biometric systems. ...
Our system leverages deep learning techniques to achieve high segmentation accuracy and reliable extraction of fingerprints from contactless fingerprint images. ...
However, contact-based and contactless fingerprint images possess distinct characteristics in terms of quality, structure, size, and other factors. ...
arXiv:2311.15163v1
fatcat:amgflcej4zditp2llmtgx3t4ze
A Contactless Fingerprint Recognition System
[article]
2021
arXiv
pre-print
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Fingerprints are one of the most widely explored biometric traits. ...
In this paper, we propose an approach for developing a contactless fingerprint recognition system that captures finger photo from a distance using an image sensor in a suitable environment. ...
This motivated us to develop a contactless fingerprint biometric system considering the significant research in the field of biometrics and deep learning and implement it in a system to be used in real-time ...
arXiv:2108.09048v1
fatcat:atnx7tgxunewrmq3pl7v4hg7x4
MCLFIQ: Mobile Contactless Fingerprint Image Quality
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2304.14123v1 fatcat:3nwlupflhna3xmc6vs7epi5wra
In experiments, the MCLFIQ method is compared against the original NFIQ 2.2 method, a sharpness-based quality assessment algorithm developed for contactless fingerprint images and the general purpose image ...
We propose MCLFIQ: Mobile Contactless Fingerprint Image Quality, the first quality assessment algorithm for mobile contactless fingerprint samples. ...
Measuring Biometric Sample Quality The aspects of biometric quality have to be expressed in an objective manner to ensure that performance can be measured and compared between different systems. ...
arXiv:2304.14123v2
fatcat:qdzkgwqrqbdx5gtgseqmjwnqrm
Mobile Contactless Fingerprint Recognition: Implementation, Performance and Usability Aspects
2022
Sensors
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Based on our experimental results, we analyze the impact of the current COVID-19 pandemic on fingerprint recognition systems. ...
During a database acquisition, a total number of 1360 contactless and contact-based samples of 29 subjects are captured in two different environmental situations. ...
To measure the biometric performance of the proposed system, we captured a database of 29 subjects. The age and skin color distribution can be seen in Figure 7 . ...
doi:10.3390/s22030792
pmid:35161540
pmcid:PMC8839666
fatcat:jadtl3w3kzbklpo2m4tdrulajy
Computational intelligence for industrial and environmental applications
2016
2016 IEEE 8th International Conference on Intelligent Systems (IS)
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Biometric systems consist of devices, procedures, and algorithms used to recognize people based on their physiological or behavioral features, known as biometric traits. ...
Computational intelligence (CI) approaches are widely adopted in establishing identity based on biometrics and also to overcome non-idealities typically present in the samples. ...
Ministry of Research within the project "GenData 2020" (2010RTFWBH). ...
doi:10.1109/is.2016.7737423
dblp:conf/is/LabatiGMPSS16
fatcat:ot5g5p7z5jfoxddtrm4xtyg7c4
Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review
2021
Journal of Artificial Intelligence and Systems
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Particularly, DL research in automatic fingerprint recognition system (AFRS) is gaining momentum starting from the last decade in the area of fingerprint pre-processing, fingerprints quality enhancement ...
The Convolutional Neural Networks models were the most saturated models in developing fingerprint biometrics authentication. ...
Also, designing security measures in biometric systems while at the same time maintaining the recognition accuracy of the systems is still being explored [29] This study was restricted to uni-modal biometric ...
doi:10.33969/ais.2021.31010
fatcat:5nvhyyen45cwjltykvamsvj62q
Interoperability of Contact and Contactless Fingerprints Across Multiple Fingerprint Sensors
2021
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)
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However, contactless systems face challenges in the areas of interoperability and matching performance as shown in other works. ...
During the interoperability assessment, the quality of the fingerprints was considered using the NBIS NFIQ software with the contact-based fingerprint performing the best overall as expected. ...
The results presented here provide critical insight into the application of contactless fingerprinting systems in a variety of biometric scenarios. ...
doi:10.1109/biosig52210.2021.9548284
fatcat:ohzr7tisyvc4nh5qutx7ie3rmi
Improving Sensor Interoperability between Contactless and Contact-Based Fingerprints Using Pose Correction and Unwarping
2023
IET Biometrics
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Current fingerprint identification systems face significant challenges in achieving interoperability between contact-based and contactless fingerprint sensors. ...
The addition of deep learning techniques presents a promising approach for achieving high-quality fingerprint acquisition using contactless sensors, enhancing recognition accuracy in various domains. ...
We gratefully acknowledge the continuous support of BMI during the recording sessions and the whole study. The research was performed as a part of employment by the Austrian Institute of Technology. ...
doi:10.1049/2023/7519499
fatcat:6zdpmv43sjfgravk3wsbculxea
Fingerprint Recognition Using a Transfer Learning Method
2023
International Journal of Multimedia and Image Processing
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This paper highlights the development of a biometric fingerprint recognition system using an artificial intelligence method. ...
Firstly, we use non-contact fingerprint images for training the recognition model to allow the developed system to work without contact. ...
Contactless fingerprint. Most of the current fingerprint-based systems for identifying individuals are contact-based. These systems work with pressure sensors to retrieve fingerprints. ...
doi:10.20533/ijmip.2042.4647.2023.0069
fatcat:yttnckama5c6jgc4a66iqa7mbm
Automated Border Control Systems: Biometric Challenges and Research Trends
[chapter]
2015
Lecture Notes in Computer Science
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In this paper, the hardware and software components of the biometric systems used in ABC systems are described, along with the latest challenges and research trends. ...
Automated Border Control (ABC) systems automatically verify the travelers' identity using their biometric information, without the need of a manual check, by comparing the data stored in the electronic ...
Ministry of Research within PRIN 2010-2011 project "GenData 2020" (2010RTFWBH). ...
doi:10.1007/978-3-319-26961-0_2
fatcat:65yosx3unrh3tiw47ogxupimqe
Towards Using Police Officers' Business Smartphones for Contactless Fingerprint Acquisition and Enabling Fingerprint Comparison against Contact-Based Datasets
2021
Sensors
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In this paper, we provide a comprehensive and in-depth engineering study on the different stages of the fingerprint recognition toolchain. ...
Recent developments enable biometric recognition systems to be available as mobile solutions or to be even integrated into modern smartphone devices. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. ...
doi:10.3390/s21072248
pmid:33805005
pmcid:PMC8037165
fatcat:7v2yp2csnnec7hbm2z5gstuwhy
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