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A Novel Face Recognition Algorithm based on the Deep Convolution Neural Network and Key Points Detection Jointed Local Binary Pattern Methodology

Wen-zhun Huang, Shan-wen Zhang
2017 Journal of Electrical Engineering and Technology  
This paper presents a novel face recognition algorithm based on the deep convolution neural network and key point detection jointed local binary pattern methodology to enhance the accuracy of face recognition  ...  The proposed algorithm also provides the novel paradigm for the application of deep learning in the field of face recognition which sets the milestone for further research.  ...  To enhance the traditional face recognition algorithms, we introduce the deep convolution neural network and key point detection jointed local binary pattern methodology based model in this paper.  ... 
doi:10.5370/jeet.2017.12.1.363 fatcat:xrgzmayk3vgsrovcnucjjhngau

Local Global Relational Network for Facial Action Units Recognition

Xuri Ge, Pengcheng Wan, Hu Han, Joemon M. Jose, Zhilong Ji, Zhongqin Wu, Xiao Liu
2021 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)  
In this paper, we propose a novel Local Global Relational Network (LGRNet) for facial AU recognition.  ...  Many existing facial action units (AUs) recognition approaches often enhance the AU representation by combining local features from multiple independent branches, each corresponding to a different AU.  ...  set to 0.5 for the jointly optimizing of face alignment and facial AU recognition.  ... 
doi:10.1109/fg52635.2021.9666961 fatcat:grfl2zplfbfvzbgqthv723dzuy

Joint Multi-Patch and Multi-Task CNNs for Robust Face Recognition

Yanfei LIU, Junhua CHEN, Yu QIU
2020 IEICE transactions on information and systems  
In the proposed JMM-CNNs, a set of multi-patch CNNs and a feature fusion network are constructed to learn and fuse global and local facial features, then a multi-task learning algorithm, including face  ...  recognition task and pose estimation task, is operated on the fused feature to obtain a pose-invariant face representation for the face recognition task.  ...  That is to say, local features fusion is able to enhance the multi-task learning of face recognition and other tasks, and the enhanced other tasks can potentially further promote the performance of face  ... 
doi:10.1587/transinf.2020edp7059 fatcat:i4g4ndbjhfczrerto5osakdone

An End-to-End Deep Model With Discriminative Facial Features for Facial Expression Recognition

Jun Liu, Hongxia Wang, Yanjun Feng
2021 IEEE Access  
INDEX TERMS Face recognition, feature extraction, data enhancement, CNN. 12158 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  More discriminative features can describe facial expressions more accurately, so facial feature extraction is the key technology for facial expression recognition.  ...  The face recognition method based on CNNs can mine the local features of data and extract global training features and classification [40] .  ... 
doi:10.1109/access.2021.3051403 fatcat:btlf4o2qpvdufoyje4dwc72upi

Face recognition algorithm based on stack denoising and self-encoding LBP

Yanjing Lu, Mudassir Khan, Mohd Dilshad Ansari
2022 Journal of Intelligent Systems  
To optimize the weak robustness of traditional face recognition algorithms, the classification accuracy rate is not high, the operation speed is slower, so a face recognition algorithm based on local binary  ...  It is used as input of the stacked AE, feature extraction is done, realize the recognition and classification of face images.  ...  Face recognition algorithm based on LBP and stacked autoencoder Combine LBP algorithm with SAE method for face recognition.  ... 
doi:10.1515/jisys-2022-0011 fatcat:mrm5wtydhfbqpfiva4urgxmj4y

Face Recognition With Pre-Moment Processing

2014 Journal of the ACS Advances in Computer Science  
The preprocessing step with this setup aims to highlight face local features. The moments used in the study are Hu and Legendre. Feed forward neural network used as the classification facility.  ...  Face recognition as almost all digital image processing based systems begins with elementary processing on the acquired images.  ...  The popular approaches used for face recognition are based on i) structural ii) statistical and iii) neural networks.  ... 
doi:10.21608/asc.2014.158144 fatcat:czrgjxmi7zhgrns6z6wlaxofdi

Facial Expression Recognition Based on Convolutional Neural Network Fusion SIFT Features of Mobile Virtual Reality

Fuguang Yao, Liudong Qiu, Balakrishnan Nagaraj
2021 Wireless Communications and Mobile Computing  
The article proposes a hybrid model that combines a convolutional neural network (CNN) and dense SIFT features. This model is used for facial expression recognition.  ...  The experimental results show that the improved convolutional neural network structure ER2013 and CK+ data sets' facial expression recognition rate increases by 0.06% and 2.25%, respectively.  ...  Some scholars have proposed a CNN facial expression recognition method based on the local binary pattern (LBP).  ... 
doi:10.1155/2021/5763626 fatcat:wfousllsuzdy3gwczjoagkyi5m

Enhanced Forest Microexpression Recognition Based on Optical Flow Direction Histogram and Deep Multiview Network

Huanmin Wang
2020 Mathematical Problems in Engineering  
In order to recognize the instantaneous changes of facial microexpressions in natural environment, a method based on optical flow direction histogram and depth multiview network to enhance forest microexpression  ...  recognition was proposed.  ...  To solve this problem, an enhanced forest microexpression recognition method based on optical flow direction histogram and depth multiview network is proposed for automatic face microexpression recognition  ... 
doi:10.1155/2020/5675914 fatcat:wl3zof5mvfbzhefjazgzjjhrmy

Illumination-robust face recognition based on deep convolutional neural networks architectures

Ridha Ilyas Bendjillali, Mohammed Beladgham, Khaled Merit, Abdelmalik Taleb-Ahmed
2020 Indonesian Journal of Electrical Engineering and Computer Science  
For learning the features followed by classification we used VGG16, ResNet50 and Inception-v3 Convolutional Neural Networks (CNN) architectures for the proposed system.  ...  In this research paper, we present a Face Recognition (FR) system divided into three steps: The Viola-Jones face detection algorithm, facial image enhancement using Modified Contrast Limited Adaptive Histogram  ...  ACKNOWLEDGEMENTS This work is supported by a research project about design and implementation of a surveillance system based on biometric systems for the detection and recognition of individuals and abnormal  ... 
doi:10.11591/ijeecs.v18.i2.pp1015-1027 fatcat:l3ospwg2qnhztgsg4qnhpqigta

A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network

Cuiping Shi, Cong Tan, Liguo Wang
2021 IEEE Access  
This paper proposes a new method based on a multiple branch cross-connected convolutional neural network (MBCC-CNN) for facial expression recognition.  ...  The experimental results based on the Fer2013, CK+, FER+ and RAF data sets show that the recognition rates of the proposed MBCC-CNN method are 71.52%, 98.48%, 88.10% and 87.34%, respectively.  ...  Goodfellow and Patrick Lucey for providing the Fer2013 data set and CK+ data set.  ... 
doi:10.1109/access.2021.3063493 fatcat:qkkmwnbc5vberlqvbbqb2q77ke

An Automated Framework for Patient Identification and Verification Using Deep Learning

Suresh Tommandru, Domnic Sandanam
2020 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
The majority of the identification or verification is being done by wristbands, RFID tags, fingerprint, face detection by using handcraft feature-based face recognition systems.  ...  In the proposed work, the light illumination problem has been addressed by the contrast enhancement technique for deep learning models to recognize the face.  ...  To prove the need for contrast enhancement, we have considered two feature-based face detection methods: Viola-Jones, Local Binary Pattern (LBP) [42] , and our deep learning framework for an experiment  ... 
doi:10.18280/ria.340605 fatcat:mqhe7jtv6rbmbfknqxsvd2qgfi

Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization

Shahenda Sarhan, Aida A. Nasr, Mahmoud Y. Shams
2020 Computational Intelligence and Neuroscience  
Different researches have been introduced discussing the accuracy improvement of multipose face recognition through enhancing the face detector as Viola-Jones, Real Adaboost, and Cascade Object Detector  ...  Multipose face recognition system is one of the recent challenges faced by the researchers interested in security applications.  ...  recognition systems through using only the samples that formalize the image set boundaries, while the decision tree was used for enhancing the classification speed.  ... 
doi:10.1155/2020/8821868 pmid:33029115 pmcid:PMC7532404 fatcat:4qtv5zifabg4nbcqtwcrjk7ozm

A Study on the Design and Implementation of Facial Recognition Application System

Yoon Young Park, YongKeum Choi, KyungOh Lee
2014 International Journal of Bio-Science and Bio-Technology  
Face recognition systems gain flexibility and cost efficiency while being integrated into a wireless network.  ...  The previous facial recognition systems are mostly based on the wire system but our system uses mobile terminals or smart phones.  ...  Face recognition enhances the functionality and security of the wireless network, whilst a face recognition system is integrated with existing systems.  ... 
doi:10.14257/ijbsbt.2014.6.2.01 fatcat:5ticyld3djcwvjffy53ubxdv4q

Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure

Qun Luo, Zhendong Liu, Qiangyi Li
2022 Advances in Multimedia  
Experimental results showed that this method had high recognition accuracy, can better detect local features of the human face than other models, and can provide some support for local face attribute detection  ...  Therefore, in order to realize high precision and real-time local face recognition in a complex environment, a face local attribute detection method based on improved SSD network structure was proposed  ...  Acknowledgments is work was supported by the Science and Technology Project of Chongqing Education Commission: "Research on Personalized Learning Video Recommendation Algorithm for Basic Intelligence Education  ... 
doi:10.1155/2022/3730529 fatcat:t4uw3gjsvjelfbvyrutuaxhixu

Unconstrained Facial Expression Recognition Based on Feature Enhanced CNN and Cross-Layer LSTM

Ying TONG, Rui CHEN, Ruiyu LIANG
2020 IEICE transactions on information and systems  
This new network architecture consists of traditional VGG-16-FACE with enhanced feature branch followed by a crosslayer LSTM.  ...  LSTM network have shown to outperform in facial expression recognition of video sequence.  ...  Traditional FER algorithms use handcrafted features for feature extraction, such as LBP (Local Binary Patterns), HOG (Histogram of Oriented Gradients), LPQ (Local Phase Quantization), PCA, and etc.  ... 
doi:10.1587/transinf.2020edl8065 fatcat:wku7kvc7pbc77oxi56vw2r53am
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