Dependable identity recognition and authorization based on visual information by Chunlei PENG, Xinbo GAO, Nannan WANG, Jie LI

“…Recently,deep learning has been widely applied to video and image based identity recognition and authorization tasks,including face recognition and person identification.However,machine learning models,especially deep learning models,can be easily fooled by adversarial attacks,which may cause the identity recognition systems to make a wrong decision.Therefore,dependable identity recognition and authorization has become one of the hot topics currently.Recent advances on dependable identity recognition and authorization from both information space and physical space were presented,where the development of the attack models on face detection,face recognition,person re-identification,and face anti-spoofing as well as printable adversarial patches were introduced.The algorithms of visual identity anonymization and privacy protection were further discussed.Finally,the datasets,experimental protocols and performance of dependable identity recognition methods were summarized,and the possible directions in the future research were presented.…”
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Machine Learning Applications based on SVM Classification A Review by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez

“…Based on this study, it can be concluded that SVM classifier has obtained high accuracy results in most of the applications, specifically, for face recognition and diseases identification applications. …”
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Frontal Face Generation Based on Attitude Point Guidance and Attention Mechanism Improvement by Jihui Zhao, Zhengyi Yuan, Junhu Zhang, Haitao Li, Hui Li

“…The deflection of face angle is the most important factor affecting the accuracy in face recognition, non-frontal faces make some face recognition systems lose their due functions, the existing frontal face conversion methods often have the phenomenon of distortion and lack of identity. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…A method combining local binary pattern and convolutional neural network is proposed for face recognition research. Through experiments, it is found that adding LBP image information to improved convolutional neural network of LeNet-5 can improve accuracy of face recognition to 99.8%, which has important theoretical and practical significance.…”
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A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

“…Deep learning theory is widely used in face recognition. Combined with the needs of classroom attendance and students’ learning status monitoring, this article analyzes the YOLO (You Only Look Once) face recognition algorithms based on regression method. …”
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Student Attendance System by Face Detection Using the Dlib Face Detector Model. by Ndyamuhakyi, Osbart, Nabukenya, Eva

“…In recent years, research has been carried out and face recognition and detection systems have been developed. …”
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Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution by Muhammad Imaduddin Abdur Rohim, Auliati Nisa, Muhammad Nurkhoiri Hindratno, Radhiyatul Fajri, Gembong Satrio Wibowanto, Nova Hadi Lestriandoko, Pesigrihastamadya Normakristagaluh

“…Penelitian ini menunjukkan bahwa metode SR dari kategori General Basic CNN-based FSR dapat digunakan untuk meningkatkan kinerja face recognition pada gambar LR, seperti pada KTP-el. …”
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Recognition Memory in Psychotic Patients by H. Ellis, K. De Pauw, G. N. Christodoulou, J.-P. Luaute, E. Bidault, K. Szulecka

“…The results showed a profound impairment on face recognition for most groups, especially those with the Capgras delusion. …”
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Region inpainting algorithm of mouth-muffles for facial recognition by Yue LI, Yaguan QIAN, Xiaohui GUAN, Wei LI, Bin WANG, Zhaoquan GU

“…Facial recognition under occlusion is a well-known difficult problem in real scenes.Especially after the outbreak of COVID-19, in airports, stations and other places that need to verify the identity of visitors, the mouth-muffle occlusion greatly reduces the facial features that can be important for identification, and the accuracy of face recognition algorithm decreases.Face de-occlusion was studied, and a novel framework was proposed to restore face, which used the edge generation network to generate edge maps.On this basis, the occluded region was restored by the region completion network while preserving identity information.In order to improve the performance, the spatial weighted adversarial loss and identity-preserving loss were introduced to train the above two networks.Then two face datasets with mouth-muffles were constructed by face landmarks.The experimental results show that the accuracy of facial recognition algorithm ArcFace on the face dataset restored by the proposed model was 98.39%, which was 4.13% higher than that of directly using ArcFace.…”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
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Image Recognition Based on Two-Dimensional Principal Component Analysis Combining with Wavelet Theory and Frame Theory by Pingping Tao, Xiaoliang Feng, Chenglin Wen

“…Finally, this algorithm is compared other algorithms in the standard ORL face recognition database. The comparison of recognition rate and recognition time by simulation experiment is carried out in order to obtain the validity of the proposed algorithm.…”
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The emotional facial recognition performance of Chinese patients with schizophrenia: An event-related potentials study by Yangjun Zhang, Ding Zhao, Jianfan Wu, Lixin Lin, Jiawu Ji

“…Conclusion: These findings indicated that SZs had a noticeable deficiency in the structural coding of face recognition and available attentional resources.…”
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Analysis of The Role of Deep Learning Models in Image Classification Applications by Li Xiang

“…Image classification is a fundamental task in computer science, underpinning various applications such as object detection, face recognition, and object interaction analysis. The concept holds significant value due to its wide-ranging applications across multiple fields. …”
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Multiview Discriminative Geometry Preserving Projection for Image Classification by Ziqiang Wang, Xia Sun, Lijun Sun, Yuchun Huang

“…Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm.…”
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Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

“…To solve the problems, a new and effective dimensional reduction method for face recognition is proposed—sparse graph embedding with the fuzzy set for image classification. …”
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Digital Identities in The Context of Blockchain and Artificial Intelligence by Sevgi Kavut

“…In case artificial intelligence contributes development of digital identity with face recognition systems and algorithms. Moreover, digital identity got more secure thanks to blockchain systems while digital identities is defined more quickly and easily by means of developed technologies with artificial intelligence…”
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Gender differences in the recognition of emotional faces: are men less efficient? by Ana Ruiz-Ibáñez, José T. Boyano

“…This information reinforces not only the hypothesis of gender difference in face recognition, in favor of women, but also these ones that suggest a different cognitive processing of facial stimuli in both sexes. …”
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Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

“…The source of the acoustic signal can be determined by matching it with the existing database using machine learning algorithms like face recognition systems for future goals.…”
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Distributed sensing units deploying on group unmanned vehicles by Bao Rong Chang, Hsiu-Fen Tsai, Jyong-Lin Lyu, Chien-Feng Huang

“…In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. …”
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Forearm multimodal recognition based on IAHP‐entropy weight combination by Chaoying Tang, Mengen Qian, Ru Jia, Haodong Liu, Biao Wang

“…The recent COVID‐19 pandemic has led to the wide use of face masks, which greatly affects the traditional face recognition technology. The pandemic has also increased the focus on hygienic and contactless identity verification methods. …”
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