A hybrid method for iris segmentation by Mohammed Mukred, Muaadh Shaif

“…Among the common biometric identification methods are facial recognition, fingerprint recognition, speaker verification and so on, present a new solution for applications that require a high degree of security. …”
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Fingerprint classification : a BI-resolution approach to singular point extraction by Leong, Chung Ern

“…They can be used to classify fingerprints and improve the performance of fingerprint recognition. Various fingerprint classification scheme using singular points have been known in literature. …”
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A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem by Helala AlShehri, Muhammad Hussain, Hatim AboAlSamh, Mansour AlZuair

“…Finally, we conduct a comparative study of state-of-the-art fingerprint recognition methods and provide insight into their abilities to address this problem. …”
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RF Signal Feature Extraction in Integrated Sensing and Communication by Xiaoya Wang, Songlin Sun, Haiying Zhang, Qiang Liu

“…Since the received signal is affected by various factors, we believe that we should first find the intrinsic features that can describe the properties of the target, which is the key to enhance the RF fingerprint recognition. In this paper, we try to analyze the intrinsic characteristics of the components that influenced the signal by the transmitting source and derive a mathematical formula to describe the RF characteristics. …”
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A Comparative Assessment of Homomorphic Encryption Algorithms Applied to Biometric Information by Georgiana Crihan, Marian Crăciun, Luminița Dumitriu

“…This paper provides preliminary research regarding the implementation and evaluation of a hybrid mechanism of authentication based on fingerprint recognition interconnected with RFID technology, using Arduino modules, that can be deployed in different scenarios, including secret classified networks. …”
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Intelligent device recognition of internet of things based on machine learning by Sheng Huang

“…In 100 experiments, the research method improved the accuracy by an average of 1.5 % compared with the baseline. In fingerprint recognition, the overall accuracy of the long short-term memory network exceeded 90 %, with an area under the curve of 0.99. …”
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Core point pixel-level localization by fingerprint features in spatial domain by Xueyi Ye, Yuzhong Shen, Maosheng Zeng, Yirui Liu, Huahua Chen, Zhijing Zhao

“…Singular point detection is a primary step in fingerprint recognition, especially for fingerprint alignment and classification. …”
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Advanced Authentication Method by Geometric Data Analysis Based on User Behavior and Biometrics for IoT Device with Touchscreen by Jiwoo Lee, Sohyeon Park, Young-Gon Kim, Eun-Kyu Lee, Junghee Jo

“…In the case of fingerprint recognition, additional hardware such as a fingerprint scanner is required, which causes cost issues and could be vulnerable to fingerprint theft. …”
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A Neural Network-Based Partial Fingerprint Image Identification Method for Crime Scenes by Yuting Sun, Yanfeng Tang, Xiaojuan Chen

“…On the other hand, a broken ridge may lead to a large number of false feature points, which affect the accuracy of fingerprint recognition. Existing fingerprint identification methods are not ideal for partial fingerprint identification. …”
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Matching Score Models for Hyperspectral Range Analysis to Improve Wood Log Traceability by Fingerprint Methods by Rudolf Schraml, Karl Entacher, Alexander Petutschnigg, Timothy Young, Andreas Uhl

“…The method developed in this paper is a necessary and successful step to define scanning system parameters for fingerprint recognition systems for wood log traceability from the forest.…”
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Digital technology and artificial intelligence issues in scientific works by A. N. Timokhovich, E. G. Samokhodkina, E. V. Samokhodkin, A. A. Elzon

“…The main semantic units, reflecting different aspects of the research field are digitalization; artificial intelligence (additional semantic units: knowledge representation, theorem proving, computer vision, robotics, machine learning, multi-agent systems, artificial intelligence tools); neural networks (additional semantic units: learning with a teacher, learning without a teacher, input data); strong or general artificial intelligence, weak or applied artificial intelligence; Marusya voice assistant, Alisa voice assistant, Siri voice assistant, Bixby voice assistant, Google Assistant; speech recognition, fingerprint recognition, human face identification. Quantitative changes in the coverage of digital technologies, artificial intelligence, augmented reality elements in scientific papers of scientists for the period from 2016 to 2021 are presented and graphically visualized. …”
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Improving Image Quality Assessment Based on the Combination of the Power Spectrum of Fingerprint Images and Prewitt Filter by Ting-Wei Shen, Ching-Chuan Li, Wan-Fu Lin, Yu-Hao Tseng, Wen-Fang Wu, Sean Wu, Zong-Liang Tseng, Mao-Hsiu Hsu

“…It has an impact on the performance and compatibility of fingerprint recognition, authentication, and built-in cryptosystems. …”
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Investigation of dimensionality reduction in a finger vein verification system by Ting, Ei Wei, M. Z., Ibrahim, Mulvaney, D. J.

“…Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris, face, voice and fingerprint recognition approaches. In this paper, a finger vein recognition method has been implemented in which the effect on performance has of using principal components analysis has been investigated. …”
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The Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Scheme by Anas Husseis, Judith Liu-Jimenez, Raul Sanchez-Reillo

“…Fingerprint recognition systems have been widely deployed in authentication and verification applications, ranging from personal smartphones to border control systems. …”
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Privacy-Friendly Datasets of Synthetic Fingerprints for Evaluation of Biometric Algorithms by Andrey Makrushin, Venkata Srinath Mannam, Jana Dittmann

“…Thus, we believe they can be applied for the privacy-friendly testing of fingerprint recognition systems. In our evaluation, we use NFIQ2 for approving the visual quality and Verifinger SDK for measuring the reconstruction success.…”
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Rapid Prototyping Flexible Capacitive Pressure Sensors Based on Porous Electrodes by Tiancong Zhao, Huichao Zhu, Hangyu Zhang

“…Flexible pressure sensors are widely applied in tactile perception, fingerprint recognition, medical monitoring, human–machine interfaces, and the Internet of Things. …”
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FINGERPRINTS TO AUTHENTICATE TRANSACTIONS IN CONTACTLESS CARDS by soleen J. Ibrahim, Ahmad B. Al-Khalil

“…Hence this paper presents an innovative way to overcome this problem by embedding a fingerprint sensor into the contactless card to add an extra level of security by creating a virtual environment giving a contactless card and using a minutiae-based algorithm for fingerprint recognition in this contactless card. The work is evaluated based on accuracy using two metrics, false acceptance rate (FAR) and false rejection rate (FRR), algorithm’s matching time, and transaction time. …”
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Development of novel nanomaterials for fingerprinting by Syahirunnisa Binte Mahadi

“…Fingerprint analysis has been used in forensic science for more than 100 years, as it aids in criminal identification. Visual fingerprint recognition has often been used, to visually match the prints to the suspect. …”
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A comparative study of different template matching techniques for twin iris recognition by Kasim, Shahreen, Hassan, Rohayanti, Mohd, Nor Sukriyah, Ramlan, Rohaizan, Mahdin, Hairulnizam, Md. Fudzee, Mohd. Farhan

“…There are a lot of biometric systems that exist which are iris, hand geometry and fingerprint recognition. In biometric system, iris recognition is marked as one of the most reliable and accurate biometric in term of identification. …”

Design and Fabrication of High-Frequency Piezoelectric Micromachined Ultrasonic Transducer Based on an AlN Thin Film by Junbin Zang, Zheng Fan, Penglu Li, Xiaoya Duan, Chunsheng Wu, Danfeng Cui, Chenyang Xue

“…Given its advantages of high-frequency ultrasound with good directionality and high resolution, PMUT can be used in application scenarios with low power supply, such as fingerprint recognition, nondestructive testing, and medical diagnosis. …”
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