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47 articles for “Facial Recognition”
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Research ArticleOpen accessEvery word in the titleFacial Features for Template Matching Based Face RecognitionChai Tong Yuen, M. Rizon, Woo San San, Tan Ching SeongProblem statement: Template matching had been a conventional method for object detection especially facial features detection at the early stage of face recognition research. The appearance of moustache and beard had affected the performance of features detection and face recognition system since ages ago. Approach: The proposed algorithm aimed to reduce the effect of beard and moustache for facial features … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 9,375 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePM-ViT a Framework for the Recognition of Emotions and Proclivity toward Mental Illness Using Facial ExpressionsPriti Rai Jain, Syed Mohammad Khurshaid Quadri, Anuradha KhattarAutomated emotion recognition is being used as a powerful technology in various fields in the present times. Facial Emotion Recognition (FER) aims to identify the emotional states of individuals based on their facial expressions. While in recent years, Convolutional Neural Networks (CNNs) have shown noteworthy performance in image classification tasks, however, the latest adoption of transformers for computer vision tasks … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 7,061 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFusion of Features and Extreme Learning Machine for Facial Expression RecognitionBayezid Islam, Arfat HossainHuman emotion is highly correlated to facial expressions. Due to its growing demand in different sectors, an emotion recognition method is proposed through recognizing facial expressions. The input image is preprocessed and then the resulting image is segmented into four facial expression regions following the newly proposed segmentation method. Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are … …Journal of Computer Science, Vol. 15, Issue 12 · 28 Dec 2019 · 7,404 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSymbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression RecognitionSumithra M.D., M. Abdul RahimanAutomatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain. Along with an efficient classifier for assigning the class label to each of the input face image, it is very necessary to have a strong feature vector for training the classifier. This paper proposes an effectual combination of Local … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 7,513 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFACIAL FEATURE EXTRACTION TECHNIQUES FOR FACE RECOGNITIONRahib H. AbiyevFace recognition is one of the biometric techniques used for identification of humans. The design of the face recognition system includes two basic steps. The first step is the extraction of the image's features and the second one is the classification of patterns. Feature extracting is a very important step in face recognition. The recognition rate of the system depends … …Journal of Computer Science, Vol. 10, Issue 12 · 23 Dec 2014 · 10,328 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnnotation of Facial Expressions (Navarasa) in Videos Using Deep LearningReshma M R, Kannan B, Jagathy Raj V P, Shailesh SFacial expression plays a significant role in understanding human behavior, alongside other relevant elements such as body posture, gait, and hand gestures. In the context of Indian Classical Dance (ICD), these elements work together to convey the stories depicted by characters from Indian mythology. Accompanying songs and shlokas evoke emotions, reflected in performers' facial expressions known as the performance. In … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 4,093 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Innovative Method for Recognizing Face Expressions Based on Genetic Algorithm and Extreme Learning Based Hybrid ModelTushar Dhar Shukla, Md Oqail Ahmad, Puneet Sapra et al.The detection of facial action coding system Action Units (AU) and other facial expressions has been a major focus of computer science for more than 20 years categorizing discrete emotional states based on facial expressions. While several widely used face expression databases exist, standardization and comparability remain key challenges. The lack of a universally recognized assessment procedure and insufficient information … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 7,293 accessesView PDFCite
Review ArticleOpen accessIn the keywordsFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,781 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Combined Approach to Improve Supervised E-Learning using Multi-Sensor Student Engagement AnalysisAbdulkareem Al-AlwaniE-learning provides an important means of education which can reach masses irrespective of their locations all over the world. The E-learning systems and platforms have evolved over the years, but E-learning methodologies are still lagging in matching the benefits of teacher-student interaction in a classroom. The absence of human supervision is always a concern as a student cannot be monitored … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 12 Dec 2016 · 7,473 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Transfer Learning Approach for Student Attendance System During the COVID-19 PandemicSlimane Ennajar, Walid BouarifiMarking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studies have been proposed to improve the system. However, there are still issues with each of these systems; we have employed deep transfer learning techniques using six pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 6,010 accessesView PDFCite