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Face recognition algorithms as models of human face processing
Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)
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We evaluated the adequacy of computational algorithms as models of human face p r ocessing by looking at how the algorithms and humans process individual faces. ...
By comparing model-and human-generated m e asures of the similarity between pairs of faces, we were able to assess the accord b etween several automatic face recognition algorithms and human perceivers ...
algorithms as models of human face processing. ...
doi:10.1109/afgr.2000.840689
dblp:conf/fgr/OTooleCRWP00
fatcat:6wj3tbmkmzfa3kulwokiax4ipq
One Sample Image Recognition Algorithm based on Improved Sub-pattern Principle Component Analysis
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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The results demonstrate that the proposed algorithm has improved the recognition rate and speed of face, and has robust. ...
In order to improve the recognition performance of one sample image per person, this paper proposed a one sample image recognition algorithm based on improved sub-pattern principle component analysis. ...
Working Process for Human Face Recognition Algorithm 2.2 Human Face Image is Divided into Multiple Sub-models (1) Assumed the size of human face image is M×N. (2) Divide human face images into L pieces ...
doi:10.14257/ijsip.2015.8.9.08
fatcat:mys4btybxnd7hmkatvrpkbq2ji
A Face Recognition System Using ACO-BPNN Model for Optimizing the Teaching Management System
2021
Computational Intelligence and Neuroscience
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Based on the traditional BP neural network model, this paper proposes an ant colony algorithm-enabled BP neural network (ACO-BPNN) model and applies it to face recognition. ...
With the development of science and technology, face recognition technology will occupy an increasingly important position. ...
the machine have the same face recognition ability as human beings or even surpass human beings [10] . ...
doi:10.1155/2021/5194044
pmid:34512741
pmcid:PMC8429009
fatcat:vpzbl6t5ifbmvg5qxnid6kk55y
Face Recognition System Based on Different Artificial Neural Networks Models and Training Algorithms
2013
International Journal of Advanced Computer Science and Applications
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Face recognition is one of the biometric methods that is used to identify any given face image using the main features of this face. ...
Comparison results showed that TrainLM was the best training algorithm for the face recognition system. ...
ACKNOWLEDGEMENT The authors would like to thank Al-Zaytoonah University of Jordan, Amman, Jordan, for sponsoring the scientific research. ...
doi:10.14569/ijacsa.2013.040606
fatcat:4uhh5tta3zbjzbf7koaexqnblq
FACE ALIGNMENT BASED ON SEMI-ACTIVE APPEARANCE MODE
2014
International Journal on Smart Sensing and Intelligent Systems
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Firstly, the model of active appearance and the algorithm of alignment are investigated. ...
For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. ...
After uniform operation, the PCA algorithm is needed for reduction dimension, the calculation process of which is shown as following. represents that the more information of human face shape is included ...
doi:10.21307/ijssis-2017-717
fatcat:vr7m2o4sfvcb5p3q2wmmvm27cu
Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy
2017
International Journal of Latest Trends in Engineering and Technology
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FACE RECOGNITION AS PART OF PATTERN RECOGNITION Recognizing the identity of a person through the face is one of the natural recognition mechanisms that can be done by humans very easily. ...
The interesting thing about face recognition process is that this process is a very natural process done by human (human pattern) but we cannot understand how human can recognize pattern. ...
doi:10.21172/1.91.02
fatcat:sywdsxmfm5brpfq4mrejc3lujm
Optimizing Fuzzy Rule Base for Illumination Compensation in Face Recognition using Genetic Algorithms
2014
Emitter: International Journal of Engineering Technology
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We have developed a novel algorithmbased on a reflectance model to compensate the effect of illumination for human face recognition. ...
This paper addresses the problem of optimizing Fuzzy rule using Genetic Algorithm to compensate illumination effect in face recognition. ...
ACKNOWLEDGEMENTS
REFERENCES
Outline of a New Approach to The Analysis of Complex Systems and Decision Processes ...
doi:10.24003/emitter.v2i2.27
fatcat:5yh337igqvasfi25b4twxefhwy
Face recognition using viola-jones depending on python
2020
Indonesian Journal of Electrical Engineering and Computer Science
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The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcamera in the computer, and the second step recognizes if ...
The platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. ...
That depends on the viola-Jones algorithm to detect and process the face. The correlation model is the use of recognition face in the proposed model. ...
doi:10.11591/ijeecs.v20.i3.pp1513-1521
fatcat:hpmsjtkmf5h5bpuhvlprj6cyu4
IoT Based Surveillance System Using DNN Model
2021
International Journal for Research in Applied Science and Engineering Technology
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Keywords: Deep learning, Raspberry Pi, OpenCV, Image Processing, YOLO, Face Recognition ...
Most of the Smart system available are just for the surveillance of Human intervention but there is a need for a system which can be used for animals as well because with the outburst of human population ...
Three face recognition algorithms, namely Local Binary Pattern Histogram, Eigenface, and Fisherface were tested and as a result LBPH algorithm got the highest face recognition accuracy rate with 95.92% ...
doi:10.22214/ijraset.2021.39148
fatcat:e7fiahra2vcdhdhraifoieydmu
A Review on Pattern Recognition Using Genetic Algorithms
2017
INTERNATIONAL JOURNAL OF EMERGING TRENDS IN SCIENCE AND TECHNOLOGY
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Pattern recognition is a process to classify types of objects appearing in the input pattern. ...
In computer science pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships ...
Detecting the location of human faces and extracting facial features in areas like human face recognition, surveillance systems, video conferencing etc. ...
doi:10.18535/ijetst/v4i5.16
fatcat:sx2cyk2kkbhgjbbzhkuhodig3m
Study on an Improved Restricting Algorithm Used in Face Image
2016
International Journal of Multimedia and Ubiquitous Engineering
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with the reference algorithm, the simulation experiments show that the algorithm of this paper improves the recognition precision of human face image, with very good robustness. 143 the human face. ...
The recognition rate of face image has always been a research hot spot. This paper proposes a model based on tree sparse algorithm. ...
To solve above problems, this paper proposes a human face image data reconstruction algorithm based on sparse tree model. First of all, establish a sparse tree model of face image data. ...
doi:10.14257/ijmue.2016.11.7.14
fatcat:4qupkv5kcndopoxlntgfemdiui
ace Recognition based on Improved Robust Sparse Coding Algorithm
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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In order to improve the performance of face recognition, a novel face recognition method based on improved robust sparse coding algorithm (MRCS-ELM) to solve the defecting of traditional sparse coding ...
The results show that the proposed model has improved the recognition rate and reduces the computational complexity greatly compared with other models, and it has strong robustness to face recognition. ...
MRCS-ELM Face Recognition Model
Process of Face Recognition The process of MRCS-ELM face recognition method is shown in Figure 1 . First, collect face images and make pre-treatment. ...
doi:10.14257/ijsip.2015.8.9.36
fatcat:3btxoqeghzhdlcljrgepwbq6cu
Real Time Face Detection using Improvised Machine Learning Algorithm
2020
International Journal for Research in Applied Science and Engineering Technology
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The innovation of new approaches for the face recognition technology is a continuous subject for building much stronger face recognition algorithms. ...
In this work, to identify a face, we are using Machine learning algorithms and python as the programming language. ...
Face recognition system using image processing and various detection algorithms have been of interest to many young as well as senior researchers. ...
doi:10.22214/ijraset.2020.32477
fatcat:w5olxhtqo5ailgrw5hd5qlovoi
Real time COVID-19 facemask detection using deep learning
2022
International Journal of Health Sciences
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In the field of Image Processing, Convolutional Neural Networks (CNNs) have risen to prominence as the most common type of image realization/recognition model. ...
Our project aims to create a real-time Graphics User Interface based Automated Facial Recognition as well as Mask Detection System. ...
Channakesavalu K, Principal, East West Institute of Technology, Bengaluru, for having permitted to carry out the project entitled "REAL TIME COVID-19 FACE MASK DETECTION USING DEEP LEARNING" successfully ...
doi:10.53730/ijhs.v6ns4.6231
fatcat:ldjby43jmzhcbiej4nicrzamzy
Video Face Detection Technology and Its Application in Health Information Management System
2022
Scientific Programming
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With the popularization of computer applications, the improvement of performance, and the gradual maturity of research in the field of image processing and pattern recognition, face-related applications ...
Compared with other biological characteristics, such as fingerprints and eye masks, human faces are easier to obtain. ...
Facial feature extraction, also known as face representation, is the process of modeling features of human faces. e main idea of the independent component analysis (ICA) method is to find a set of mutually ...
doi:10.1155/2022/3828478
doaj:bd73f10280c043cda35a5e0458f26f37
fatcat:iswzewcfvnfadlvywdrxvmegxy
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