5 results for “swipe biometric”
Research Article
Open Access Palmprint Recognition Using Pre-Trained Convolutional Neural Networks
Nader Ebrahimpour, Ebrahimpour N, Faruk Baturalp Günay, Günay F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.018
Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
Research Article
Open Access Enhancing Offline Handwritten Signature Identification with Pre-Trained CNN Architectures
Nader Ebrahimpour, Ebrahimpour N
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0030
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
Research Article
Open Access Kaydırma Biyometriği ile Kişilerin Doğrulaması için Çekirdek Fisher Ayırtacına Dayalı Yeni Bir Yaklaşım
Orhan Sivaz, Sivaz O, Murat Aykut, Aykut M
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.036
Son yıllarda bilgi güvenliğini sağlamada biyometrik doğrulama sistemlerinin kullanımı yaygınlaşmış ve farklı biyometrikler ortaya atılmıştır. Çalışmamızda dokunmatik ekran üzerinde yapılan hareketlerden kaydırma hareketine bağlı olarak kişilerin ayırt edilmesi…
Research Article
Open Access Gait Recognition using RGB-D Camera for Player Labeling
Yilmaz Atay, Atay Y, Agusta Wicaksono, Wicaksono A, Ahmet Arslan , Arslan A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…
Research Article
Open Access PREDICTION OF HIGH-TEMPERATURE PERFORMANCE OF GEOPOLYMER MODIFIED ASPHALT BINDER USING ARTIFICIAL NEURAL NETWORKS
Mustafa Alas, Alas M, Shaban Ismael Albrka Ali , Albrka Ali S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the
alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study
employs artificial neural network model…
