Fingerprint Recognition System based on Artificial Neural Networks integrated with Machine Learning [PDF]
ITM Web of ConferencesThis study represents a fingerprint recognition approach that combines Artificial Neural Networks (ANN) with Machine Learning (ML) approaches to improve biometric identification in terms of precision, efficiency, and dependability.
Nagamani Ummadisetty +5 more
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Patch-based Segmentation of Latent Fingerprint Images Using Convolutional Neural Network
Applied Artificial Intelligence, 2019 Latent fingerprint segmentation involves marking out all the foreground regions accurately in a latent fingerprint image, but due to poor quality images and complex background, segmentation of latent fingerprint images is one of the most difficult tasks ...
Asif Iqbal Khan, Mohd Arif Wani
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Implementation of a Transform-Minutiae Fusion-Based Model for Fingerprint Recognition
International Journal of Mathematics and Mathematical Sciences, 2021 Biometrics consists of scientific methods of using a person’s unique physiological or behavioral traits for electronic identification and verification.
Justice Kwame Appati +3 more
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Touchless Palmprint and Fingerprint Recognition
, 2022 Biometric systems based on hand traits captured using touchless acquisition procedures are increasingly being used for the automatic recognition of individuals due to their favorable trade-off between accuracy and acceptability by users. Among hand traits, palmprint and fingerprints are the most studied modalities because they offer higher recognition ...
R. Donida Labati +3 more
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IoT Device Recognition Method Combining Multimodal IoT Device Fingerprint and Ensemble Learning [PDF]
Jisuanji kexueThe existing IoT device recognition methods have the problems of single feature dimension for characterizing device fingerprints,incomplete selection of traffic feature information,which easily lead to insufficient ability to characterize traffic ...
LU Xulin, LI Zhihua
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Method of fingerprint and voiceprint based decision level fusion recognition
Dianxin kexue, 2018 Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and ...
Jianwu ZHANG, Jiajia YANG, Zhendong WU
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Trust Management Method of D2D Communication Based on RF Fingerprint Identification
IEEE Access, 2018 iWith the rapid development and the increasing security threats of D2D communication, the D2D communication security has become more and more important. Device recognition is the foundation of communication security.
Zhaoyue Zhang, Xinghao Guo, Yun Lin
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Fine-Grained Radio Frequency Fingerprint Recognition Network Based on Attention Mechanism. [PDF]
Entropy (Basel), 2023 Zhang Y, Hu J, Jiang R, Lin Z, Chen Z.
europepmc +1 more source
FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
Journal of Information and Organizational Sciences, 2006 Minutiae classification and fingerprint classification in fingerprint evaluating process are very important. Fingerprint image contains about 150 minutiae’s.
Miroslav Bača, Kornelije Rabuzin
doaj
The Application of MATLAB in Automatic Fingerprint Recognition System of Police
MATEC Web of Conferences, 2016 This paper studies on the automatic fingerprint recognition system, the former three fingerprints are extracted from the suspects, the fourth incomplete fingerprint is extracted in scene.
Li Hai Ping
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