Farhad Khalifa

Farhad Khalifa
Duhok Polytechnic University | DPU · BARDARASH TECHNICAL INSTITUTE

Master of Science

About

8
Publications
8,215
Reads
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88
Citations
Citations since 2016
6 Research Items
88 Citations
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
Introduction

Publications

Publications (8)
Conference Paper
Full-text available
Nowadays, eye tracking and blink detection are increasingly popular among researchers and have the potential to become a more important component of future perceptual user interfaces. The real-time eye-tracking system has been a fundamental and challenging problem for machine learning problems. The main purpose of this paper is to propose a new met...
Article
Full-text available
In the past decade, a transform called all phase discrete cosine biorthogonal transform (APDCBT) appeared in the field of digital image processing. It is mainly used to solve the negativity found in discrete cosine transform (DCT), especially in a low bit rate. In this paper, the APDCBT is employed for watermark insertion based on selected regions...
Article
Full-text available
The internet of things (IoT) has been very important when it comes to the automation of smart homes and buildings. In the smart homes and buildings automation, IoT is combined with cloud computing and rule-based event processing to ensure that individuals occupying any premise can enjoy their safety, convenience, and comfort. This study indicates t...
Article
Full-text available
In the last two decades, steganalysis has become a fertile research area to minimize the security risks left behind by Misuse of data concealment in digital computer files. As the propagation of hidden writing increased, the need for the steganalysis emerged and grew to a large extent necessary to deter illicit secret communications. This paper int...
Article
Full-text available
Steganography technique widely spread and varied. With the widening in using steganography, its misuse alarmists arisen. Thus steganalysis comes into sight to deter unwanted secret communications. In this paper a new scheme proposed for extracting hidden information, this scheme relies on the capability of artificial neural networks for prediction...
Article
Full-text available
The essential problem in the security field is how to detect information hiding. This paper proposes a new steganalysis scheme based on artificial neural network as a classifier to detect information hiding in colored and grayscale images. The statistical features extracted from Karhunen-Loève (KL) transform coefficients obtained from co-occurrence...

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