Distance or similarity measures are essential to solve many pattern recognition problems
such as classification, clustering, and retrieval problems. Various distance/similarity …

Over the years extensive studies have been carried out to apply coherent optics methods in
real-time communications and image transmission. This is especially true when a large …

This paper presents a large scale test of camera identification from sensor fingerprints. To
overcome the problem of acquiring a large number of cameras and taking the images, we …

The article explains how photo-response nonuniformity (PRNU) of imaging sensors can be
used for a variety of important digital forensic tasks, such as device identification, device …

Pooling layers are essential building blocks of convolutional neural networks (CNNs), to
reduce computational overhead and increase the receptive fields of proceeding …

Distributed acoustic sensors (DAS) can monitor mechanical vibrations along thousands
independent locations using an optical fibre. The measured acoustic waveform highly varies …

Tutorial survey of composite filter designs for optical correlators clickable element to expand a
topic LOGIN OR CREATE ACCOUNT PRISM SUBMISSION This website uses cookies to …

Plant pest recognition and detection is vital for food security, quality of life and a stable
agricultural economy. This research demonstrates the combination of the k-means clustering …

Photo-response non-uniformity (PRNU) of digital sensors was recently proposed [1] as a
unique identification fingerprint for digital cameras. The PRNU extracted from a specific …

A biometric is defined as a unique, measurable, biological characteristic or trait for
automatically recognizing or verifying the identity of a human being. Statistically analyzing …