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27 articles for “Face recognition”
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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Biometric Fingerprinting and Face Recognition Based Security System
Abstract: ABSTRACTThere are several applications of biometric and face recognition based security system like industries, offices and colleges or homes. This project is an amalgamation of “BT” and “ESD”. The most important part of this system is the fingerprint sensor. Fingerprints of the person is detected using biometric sensor to detect fingerprint. The techniques used for detecting fingerprint are ultrasonic, optical method or thermal. In this paper, fingerprint sensor is used. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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Real-time Face Mask Detection with Face Recognition Using MobileNetV2
Abstract: In 2019, human civilization faced one of the scariest pandemics in a century. The government advises people to wear a mask for their safety. But there are some cases when we find people without masks,and monitoring all of them manually is not a practical solution in today's world. We needed a method that does this job automatically with higher efficiency. To solve the problem, we have performed face mask detection …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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An Efficient Unconstrained Face Recognition System Based on Multi Metric Learning
Abstract: This paper is basically proposed for reconstruction-based metric learning method to learn distance metric for unconstrained face verification. As compare to other metric (only helps for label information and do not applicable for reconstruction based metric) this metric id advanced. This metric is used for multiple metric learning to remove irrelavent data for recognition.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 14–18 Read article
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Face Recognition Based Door Lock System Using ESP-32 Cam
Abstract: People demand security throughout every location when they enter or leave their houses, which is why this article describes the automated door lock system in numerous locations. This paper is given the concept the finger print door lock system and wifi door lock system. This system is unusual since it was created using a mix of hardware and software. It is unique security system made with low cost wireless camera …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 1–7 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Facial Expression Recognition Using Voila and Jones Algorithm and Principal Component Analysis: A Propose Work
Abstract: Human face detection (FD) and recognition is a tough subject matter and a lively location of research. It is not unusual in numerous fields such as image processing (IP) and pc vision. It is the number one and the first step in wide range of applications which include face recognition (FR), private identification (PI), identity verification (IV), facial expression (FE) extraction, and gender class. In this paper, a multilevel model …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 1–9 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article
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Dynamic Game Based CAPTCHA-A New Approach to Tackle Web Robots
Abstract: Abstract: "CAPTCHA" stands for Complete Automated Public Turning Test [1], is a security mechanism designed to differentiate between online bots and human. It is a challenged- response test for computing to determine whether the user is human or not. It is used to defend against the malicious bots programs. As use of Internet has been become vital issue and many web application facing a threat of web bots (Robots). Web …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 1–7 Read article
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Automatic Door Lock System with Security using IoT
Abstract: Smart door locking systems have become more sophisticated as technology has advanced. Though an automatic password-based door lock system provides a more secure method of locking and unlocking the system, because of the ongoing Covid situation, it is extremely dangerous to touch the keypads, which are frequently used by different people. Hence, in this project we use RFID tags and Arduino. The RFID card reader detects and validates the user's …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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Robotics in Nursing Care
Abstract: Human nurses can have peace of mind. Robotic jobs are safe and secure but a little help has come to the rescue to do multiple nursing tasks for them. Robot nurses helps nurses in hospitals. They have face recognition (cameras), voice recognition (microphones), arms and hands, and talks (speaker) with the patient, doctor, and nurses in eight human languages. Another responsibility is talking with those patients who do not have …
Published in International journal of Nursing Science Practice and Research · Vol. 5, Issue 1, 2019 · pp. 37–41 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Design and Implementation of a Smart Surveillance and Automation System for Patients
Abstract: Patient negligence and harassment have become a common phenomenon now-a-days. To reduce this incident “Smart Surveillance and Automation system for patient” have been built. The system’s aim is to provide the patient security while maintain the patient’s privacy as well as provide an automated bed at a cheap price. This surveillance system starts recording once it detects a face and it also has a facial expression recognition system installed that …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 2, 2020 · pp. 9–17 Read article
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Human Mood Identification (Data Recording System)
Abstract: Researchers across a variety of fields are becoming more interested in a human-computer interface system for automatic facial emotion identification. In our project, an Automatic Facial Expression Recognition System (AFERS) which records emotion for physiological analysis has been proposed. The suggested process consists of four steps: Identifying every face in the frame is part of the first stage. We focus on each face and adjust it in such a way …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 15–19 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article