Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers

SBGT Babu, CS Rao - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Passive image forgery detection methods that identify forgeries without prior knowledge
have become a key research focus. In copy-move forgery, the assailant intends to hide a …

Nerve optic segmentation in CT images using a deep learning model and a texture descriptor

R Ranjbarzadeh, S Dorosti… - Complex & Intelligent …, 2022 - Springer
The increased intracranial pressure (ICP) can be described as an increase in pressure
around the brain and can lead to serious health problems. The assessment of ultrasound …

A novel pipeline framework for multi oriented scene text image detection and recognition

F Naiemi, V Ghods, H Khalesi - Expert Systems with Applications, 2021 - Elsevier
Automatic text detection and recognition (end-to-end text recognition) in real-life images are
the main elements of many applications including blind and low vision assistance systems …

Local triangular coded pattern: A texture descriptor for image classification

R Arya, ER Vimina - IETE Journal of Research, 2023 - Taylor & Francis
Local binary descriptors are extensively used for image representation in many of the
computer vision applications. A majority of these local binary descriptors exploit the intensity …

Histogram-based local descriptors for facial expression recognition (FER): A comprehensive study

C Turan, KM Lam - Journal of visual communication and image …, 2018 - Elsevier
This paper aims to present histogram-based local descriptors applied to Facial Expression
Recognition (FER) from static images and provide a systematic review and analysis of them …

Attractive-and-repulsive center-symmetric local binary patterns for texture classification

Y Ruichek - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

Facial expression recognition of online learners from real-time videos using a novel deep learning model

M Jagadeesh, B Baranidharan - Multimedia Systems, 2022 - Springer
In every learning setting, in classrooms or online, a student's emotions throughout course
involvement play a critical role. It employs disturbing, excite, and eye and head movement …

Local directional ternary pattern: A new texture descriptor for texture classification

A Chahi, Y Ruichek, R Touahni - Computer vision and image …, 2018 - Elsevier
In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …

Anomaly detection based on zero-shot outlier synthesis and hierarchical feature distillation

AR Rivera, A Khan, IEI Bekkouch… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Anomaly detection suffers from unbalanced data since anomalies are quite rare.
Synthetically generated anomalies are a solution to such ill or not fully defined data …

Systematic review of various feature extraction techniques for facial emotion recognition system

N Kumari, R Bhatia - International Journal of Intelligent …, 2021 - inderscienceonline.com
Facial emotion recognition (FER) is the task of recognising human emotions from images
and videos. Communicating through facial emotions is a kind of non-verbal communication …