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Hidden Markovian Model Combined with Dynamic Mode Decomposition for Detecting Deception in Videos

2016 International Journal of Science and Research (IJSR)  
The project focus on both facial spoofing detection and voice spoofing detection in videos simultaneously.  ...  Principle Component Analysis and Dynamic Mode Decomposition together helps in the facial biometric authentication and Hidden Markov Model helps in the voice authentication.  ...  The work also make use of Local Binary Patterns [5] Principle Component Analysis and [6] Support Vector Machine [7] so as to provide efficient liveness detection of the facial biometrics.  ... 
doi:10.21275/v5i5.nov163914 fatcat:u3krill3f5hxhe6todfo7z4lku

Invariant Feature Extraction for Component-based Facial Recognition

Adam Hassan, Serestina Viriri
2020 International Journal of Advanced Computer Science and Applications  
This paper proposes an alternative invariant feature extraction technique for facial recognition using facial components.  ...  Can facial recognition over age progression be improved by analyzing individual facial components? The individual facial components: eyes, mouth, nose, are extracted using face landmark points.  ...  Moreover, biometric technology is one of the efficient methods to identify humans depending on face components characteristics.  ... 
doi:10.14569/ijacsa.2020.0110386 fatcat:ctyvzonrg5cntaptk3eklgvo6e

Constrained Local Models (CLM) For Facial Feature Extraction using CLNF and SVR as Patch Experts

2020 International journal of recent technology and engineering  
Methods for detection of facial characteristics have again developed greatly in recent times. However, they also argue in the presence of poor lighting conditions for amazing pose or occlusions.  ...  A well-established group of strategies for facial feature extraction is the Constrained Local Model (CLM). Recently, they are bringing cascaded regression-built methodologies out of favor.  ...  INTRODUCTION Extraction of facial features is a key starting point for an amount of study fields, like facial outflow assessment, face 3d modeling, facial quality assessment, evaluation of multimodal conclusions  ... 
doi:10.35940/ijrte.a2766.079220 fatcat:khmupv5gq5hmdiuwecf4acha4a

A Study of Techniques for Facial Detection and Expression Classification

Hemalatha G, Sumathi C.P
2014 International Journal of Computer Science & Engineering Survey  
Automatic recognition of facial expressions is an important component for human-machine interfaces.  ...  In this paper, facial expression recognition is analyzed with various methods of facial detection,facial feature extraction and classification.  ...  The steps involved in converting a image to a normalized pure facial image for feature extraction is detecting feature points, rotating to line up, [3] is referred in the below table1.  ... 
doi:10.5121/ijcses.2014.5203 fatcat:2o2am6iftrdsdjkhn7d2k46unm

Robust Algorithm for Face Detection in Color Images

Hlaing Htake Khaung Tin
2012 International Journal of Modern Education and Computer Science  
Robust Algorithm is presented for frontal face detection in color images. Face detection is an important task in facial analysis systems in order to have a priori localized faces in a given image.  ...  Facial features such as eyes, nose and mouth are automatically detected based on properties of the associated image regions.  ...  [18] proposed an efficient algorithm for human face detection and facial feature extraction.  ... 
doi:10.5815/ijmecs.2012.02.05 fatcat:eird5bpgkzhi5chkqv32hawane

Intelligent Driver Warning System using Deep Learning-based Facial Expression Recognition

2019 International journal of recent technology and engineering  
The proposed approach develops a driver warning system that extracts the facial expressions based on a novel efficient Local Octal Pattern (LOP) and effectively recognizes the facial expressions based  ...  recognize both natural and spontaneous emotions, as well as image and video can be considered as an input.The experimental results consideringYawDD dataset indicates that the proposed system has been efficiently  ...  Overview of the proposed method ii) Face Feature Extraction In the feature extraction phase, for each of the detected facial components, 7X5 grids are inherently extracted; in which each grid is represented  ... 
doi:10.35940/ijrte.c4028.098319 fatcat:jcvepx4brzgujct4ksrcut4jiy

Automatic Facial Expression Recognition System

Hazar Mliki, Nesrine Fourati, Souhatt Smaoui, Mohamed Hammami
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
Facial features component were automatically detected and segmented. Then, we have detected facial feature points which go with facial expression deformations.  ...  In this work, we have introduced a new feature-based approach for facial expressions recognition.  ...  Afterwards, we extract relevant facial features points which define the prominent landmarks surrounding facial components.  ... 
doi:10.1109/aiccsa.2013.6616505 dblp:conf/aiccsa/MlikiFSH13 fatcat:hwlpcqg5sjdphdug5fhgomzp4u

Disease Identification System using Image Analysis

Akshay Kapoor, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
These indicators can be picked up by analyzing the optical face image, which can be used for rapid and cost-effective screening of life-threatening health conditions.  ...  Artificial Intelligence (AI) and Sensor Technologies making a point-of-care delivery possible which was considered impossible.  ...  We will be focusing on the following points-• Point 3-Liver diseases • Point 4-Heart diseases • Point 8-Lungs disease Feature extraction of these points will be done, the pathological pattern which follows  ... 
doi:10.17762/turcomat.v12i1s.1582 fatcat:sy5srb2f7feutiquouvd3zbchq

A Review On Automatic Facial Expression Recognition Systems

Shukla*, Abhilasha, Mr. D. D. Dighe
2016 Zenodo  
In this paper, we studied different FER methods such as face detection, feature extraction and expression classification where techniques like Knowledge-based, Feature-based, Principal Component Analysis  ...  Since last 2 decades many researchers are working to make HCI machines to operate with more reliability and efficiency even in the worst conditions.  ...  Here the recognition system is done without characteristic blocks. In this paper skin color detection techniques are used for face detection that is YCbCr, HSI, and RGB is applied for the images.  ... 
doi:10.5281/zenodo.48993 fatcat:tlkc3sw2tjbqnlu2a6cgcf4rvq

An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA

Santhosh Kumar, East West Institute of Technology, Bangalore, Karnataka, India 560004, S. Ranjitha, H. N. Suresh, Bangalore Institute of Technology, Bengaluru, Karnataka, India 560004, Bangalore Institute of Technology, Bengaluru, Karnataka, India 560004
2017 Journal of Engineering Science and Technology Review  
An important point in age estimation is detection & extraction of facial features [3] .  ...  Identifying the fundamental feature, for example, eye, nose & mouth is important for many face detection methods. In many facial images detection of facial feature points act as an essential part.  ... 
doi:10.25103/jestr.101.14 fatcat:cnvbnox66zg5lmfzxvkjqa2yjq

Facial Expression Recognition Analysis with Muti-Scale Filter

Jun Ou
2012 Physics Procedia  
In according to actual demand, it can extract the feature of low quality facial expression image target, and have good robust for automatic facial expression recognition.  ...  The design of filters is the key step of facial expression extraction.  ...  The precise localization of the facial feature key-point detection highly affects the recognition system performance efficiency.  ... 
doi:10.1016/j.phpro.2012.03.226 fatcat:k5gdoh7dv5gmrlv77ng3uhlobu

Facial Expression Recognition Based on Image Feature

Mahesh Kumbhar, Ashish Jadhav, Manasi Patil
2012 International Journal of Computer and Communication Engineering  
This paper discusses the application of Gabor filter based feature extraction in combination feedforward neural networks (classifier) for recognition of seven different facial expressions from still pictures  ...  The study presented here gives simple method in facial expression recognition. The study presented here gives 60% to 70 % recognition of facial expression for the entire database of JAFEE.  ...  As our experimental evaluation will prove, these extracted features are efficient for face and facial expressions recognition.  ... 
doi:10.7763/ijcce.2012.v1.33 fatcat:vsxvu4rzo5cffjm4znmyzrtyri

An Efficient Machine Learning Method for Facial Expression Recognition

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Gradient filtering and component analysis is used to extract feature vector and feature optimization is taken place using swarm intelligence approach.  ...  This paper deals with an automatic system which spontaneously identifies the facial emotion.  ...  The other edge detection techniques can also be used like pewit, log, Sobeldetectionmethods.At that point the last sample shows the gradient filtration which is used to extract the information from the  ... 
doi:10.35940/ijitee.i1085.0789s19 fatcat:ukjhdqdzwjeyjoioo3yx74kypu

Facial feature parsing and landmark detection via low-rank matrix decomposition

Rui Guo, Hairong Qi
2015 2015 IEEE International Conference on Image Processing (ICIP)  
Furthermore, with the derived parsing maps, the algorithm is easily extended to implement facial landmark detection task.  ...  To enhance the feature parsing, a linear transformation matrix is learned to boost the discriminant feature extraction.  ...  This setting coincides with [15] and most commonly used for landmark detection. The landmark points are extracted based on the parsing map.  ... 
doi:10.1109/icip.2015.7351510 dblp:conf/icip/GuoQ15 fatcat:cqgae6kxhzeepiiqjxm7zk2lwa

Distributed Face Recognition in Wireless Sensor Networks

Qiaomin Lin, Jinwen Yang, Bin Zhang, Ruchuan Wang, Ning Ye, Mengkui Yan
2014 International Journal of Distributed Sensor Networks  
In this work, a facial component-based recognition mechanism is firstly applied to ensure the recognition accuracy.  ...  According to the simulation results, the proposed method is capable of achieving considerable energy efficiency, while assuring the recognition accuracy.  ...  Figure 3 : 3 Feature ID labeled for five detected facial components. Figure 4 : 4 Topology of facial component net. (a) For each dimension d = 1,. . .  ... 
doi:10.1155/2014/175864 fatcat:n37d4cnrvvh3jkz3qxj6nskt6u
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