Health is very important for human life. In particular, the health of the brain, which is the executive of the vital resource, is very important. Diagnosis for human health is provided by magnetic resonance imaging (MRI) devices, which help health decision makers in critical organs such as brain health.
Images from these devices are a source of...
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Mobile wallets have emerged as the most significant contributor in pushing cashless and electronic payments. The surge of smartphones and internet connectivity of 4G and 5G is reflected in the robust growth of Mobile-wallets in India.
Numerous digital wallet providers have risen. Technological advancement has made everything possible under one to...
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The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before.
The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Ma...
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Face recognition based smart attendance system using IoT is a tool for recognizing the students face while taking attendance by using face biometrics based on monitor camera image capturing.
In our face recognition based smart attendance project, a raspberry pi system will be able to find and recognize human faces fast and precisely in images. ...
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A software web application based on facial recognition is used to create a gate pass system. During college hours, it coordinates the student's gate pass request and leave. This system is ready for use and is simple to operate and manage.
A gate pass security system is what this system is called. Its main goal is to keep the campus safe from ou...
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Internet banking is now becoming the most commonly used form of banking transactions. Confidentiality can be compromised in the process of electronic purchases.
We therefore introduced a new approach to prevent theft during online transactions in order to protect information through a two-step mechanism of authentication.
The primary step o...
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As modern technology of human-computer interactions become important in our everyday lives, varieties of mouse of all kinds of shapes and sizes were invented, from a casual office mouse to hard-core gaming mouse.
However, there are some limitations to this hardware as they are not as environmentally friendly as it seems. For example, the physical...
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In this paper, we propose a system that takes the attendance of students for classroom lecture. Our system takes the attendance automatically using face recognition. However, it is difficult to estimate the attendance precisely using each result of face recognition independently because the face detection rate is not sufficiently high. In this pape...
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This paper focuses on changing the system of having ‘text’ as password as people tend to often forget their passwords and have to recover it. Proposing the system of having picture as a password which is kept encrypted in a database and decrypted and matched to check for authorization of user. It has been scientifically proven that it’s easier for ...
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Image processing has been a crucial tool for refining the image or to boost the image. With the improvement of machine learning tools, the image processing task has been simplified to great range. Generating a semantic and photographic face image, from a sketch image or text description has always been an extremely important issue. Sketch images ba...
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In recent times, with the increase of Artificial Neural Network (ANN), deep learning has brought a dramatic twist in the field of machine learning by making it more artificially intelligent. Deep learning is remarkably used in vast ranges of fields because of its diverse range of applications such as surveillance, health, medicine, sports, robo...
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Nowadays, we are facing security issues in every aspect. So we have to resolve these issues by using updated technology. In this project, we are using the Face recognition module to capture human images and to compare with stored database images. The most important of feature of any home security system is to detect the people who enter or leave th...
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In 1930's, Mr. Luther G. Simijian initiated building first of kind and not so successful version of Tellering machine. He did register related patents. He initially came up with an idea of machine fixed in a wall called as "Hole in the wall machine." It would allow customer to make financial transaction without entering the bank. John S. Barron had...
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In many application areas mobile robots need the ability to interact with people. In order to be able to communicate with even untrained users, the interaction should be as natural as possible. One of the preconditions of a natural interaction is that the robot focuses the person it is interacting with. In this paper we present a technique that com...
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In today’s world, most of the people utilize Online Social Networks (OSN) to mingle with people of their interest. Various new and innovative photo sharing features attract many users and kindle them to post several photos. The user has the privilege of posting any photo on his/her profile and share it with a range of people. Unfortunately, it may ...
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We tried to develop a real time face detection and recognition system which uses an “appearance-based” approach. For detection purpose we used Viola Jones algorithm. To recognize face we worked with Eigen Faces which is a PCA based algorithm. In a real time to recognize a face we need a data training set. For data training set we took five images o...
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The ATM Fraudulence occurring in the society has become very common nowadays. Even though technology has boomed in various aspects it is being misused in different ways for stealing money through ATM’S. Skimming and Trapping of the ATM devices have been designed by many Burglars. Recognition based Verification system as been implemented for many AT...
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Unsupervised domain adaptation (UDA) aims at learning a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain with a related but different distribution. Most existing approaches learn domain-invariant features by adapting the entire information of the images. However, forcing adaptation of domain-specific ...
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Complex-valued neural network is a kind of learning model which can deal with problems in complex domain. Fully complex extreme learning machine (CELM) is a much faster training algorithm than the complex backpropagation (CBP) scheme. However, it is at the cost of using more hidden nodes to obtain the comparable performance. An upper-layer-solution...
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In this paper, we present a real-world case study on deploying a face recognition application, using MTCNN detector and FaceNet recognizer. We report the challenges faced to decide on the best deployment strategy. We propose three inference architectures for the deployment, including cloud-based, edge-based, and hybrid. Furthermore, we evaluate the...
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Real-World face recognition in unconstrained scenarios is still a major challenge for biometrics. The reasons are manifold. Among them is the fact that gallery (stored) enrolled face images are usually captured in controlled settings, using a predefined arrangement of subjects and capture devices, whereas the probes (test images) are captured in qu...
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Representation learning has been proven to play an important role in the unprecedented success of machine learning models in numerous tasks, such as machine translation, face recognition and recommendation.The majority of existing representation learning approaches often require large amounts of consistent and noise-free labels. However, due to var...
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The problem about checking attendant is the main problem of teacher in nowadays. In order to solve this problem, Many systems have been completely changed due to this evolve to achieve more accurate results. However, in my study, these study still lack of the efficiency about correct the face and students cannot verify or pose to edit the data when...
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