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47 articles for “Facial Recognition”
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Research ArticleOpen accessIn the keywordsA Comparative Analysis of Biometrics Types: Literature ReviewMohammad Al Rousan, Benedetto IntrigilaThis study provides a thorough analysis of the various biometric types, including their advantages and disadvantages. It compares the different types and provides details about false acceptance and false rejection rates, along with their equations. Biometric screening systems are used to test and identify persons using their physiological or behavioral characteristics. Using only one recognition device is not suitable for … …Journal of Computer Science, Vol. 16, Issue 12 · 24 Dec 2020 · 9,003 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEye Detection Using Composite Cross-CorrelationKutiba Nanaa, Mohamed Rizon, Mohd Nordin Abd Rahman et al.This study presents a new eye detection method depending on composite template matching for facial images. The objective of this study is to utilize template match method to detect the eyes from given images and to improve this method to obtain higher rate of detection. The idea of our method is to integrate cross correlations of various eye templates. Thus, … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 3 Oct 2013 · 6,890 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Mouth Localization Using Edge ProjectionMohamed RizonProblem statement: This study presented algorithms to detect mouth from color and intensity images. Approach: First, this algorithm detected the face region in the image and extracts intensity valleys from the face region. Next, the algorithm extracted iris candidates from the valleys and computed the costs for each pair of iris candidates. Finally, a pair of iris candidates was selected … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event ForecastingKarthik Elangovan, Prabhakaran Paulraj, Dinesh Babu G L et al.Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image processing techniques. Facial recognition technology has permeated every aspect of our daily lives, from unlocking our phones to getting private file access on our systems. Machine Learning and Deep Learning make it easy to … …Journal of Computer Science, Vol. 22, Issue 8 · 29 Jul 2026 · 1,211 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine LearningPainem, Hari Soetanto, Achmad Solichin, Ibnu RamadhanEmployee attendance is critical to company operations, particularly for firms involved in ATM installations collaborating with banks. An effective attendance system enables bank vendors to verify the completion of ATM installations. The current attendance method employed by the company requires employees to send photos of themselves with the installed ATM, including the machine number and installation location. The company's admin … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 5,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Log Creation from Low-Light CCTV VideosSomasundaram Sony Priya, Rajasekharan Indra MinuIn today’s rapidly evolving technological landscape, surveillance systems have become critical for security and operational management. Extracting accurate facial data from low-light CCTV footage remains a significant challenge due to limited visibility. This research presents a comprehensive methodology to address the complexities of face detection, recognition and timestamp extraction in low-light environments. Our approach focuses on creating detailed face logs … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Review ArticleOpen accessIn the abstractMasked Face Identification and Tracking Using Deep Learning: A ReviewShahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas A. AbdullatifFacial recognition systems are becoming more prevalent in our daily lives. Based on artificial intelligence, computers play a very important role in the issue of identifying and tracking. This technology is mostly used for security and law enforcement. In view of the COVID-19 pandemic, government directives have been issued to citizens to wear medical masks in crowded institutions and places, … …Journal of Computer Science, Vol. 19, Issue 12 · 28 Oct 2023 · 5,851 accessesView PDFCite