32 citations · 35 across the 2 of their papers we have counts for
3 papers
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Ceyhun Celik +3
Facial image retrieval is a challenging task since faces have many similar features (areas), which makes it difficult for the retrieval systems to distinguish faces of different pe…
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study
Ahmad S. Tarawneh, Ceyhun Celik, Ahmad B. Hassanat +1
Research on content-based image retrieval (CBIR) has been under development for decades, and numerous methods have been competing to extract the most discriminative features for im…
Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images
A. S. Tarawneh, D. Chetverikov, A. B. Hassanat
Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual recognition. In this paper, we present a comparative study of three popular pre-trained CNN mode…