This systematic literature review aims to understand new developments and challenges in facialrecognition technology. This will provide an understanding of the system principles, performance metrics, and applications...
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This systematic literature review aims to understand new developments and challenges in facialrecognition technology. This will provide an understanding of the system principles, performance metrics, and applications of facialrecognition technology in various fields such as health, society, and security from various academic publications, conferences, and industry news. A comprehensive approach was adopted in the literature review of various facialrecognition technologies. It emphasizes the most important techniques in algorithm development, examines performance metrics, and explores their applications in various fields. The review mainly emphasizes the recent development in deep learning techniques, especially CNNs, which greatly improved the accuracy and efficiency of facialrecognition systems. The findings reveal that there has been a noticeable evolution in facialrecognition technology, especially with the current use of deep learning techniques. Nevertheless, it highlights important challenges, including privacy concerns, ethical dilemmas, and biases in the systems. These factors highlight the necessity of using facialrecognition technology in an ethical and regulated manner. In conclusion, the paper proposes several future research directions to establish the reliability of facialrecognition systems and reduce biases while building user confidence. These considerations are key to responsibly advancing facialrecognition technology by ensuring ethical practices and safeguarding privacy.
Critical to any automated surveillance system is the recognition component. Since the inception of Pattern recognition & Image processing, researchers across the globe continue to propose newer facialrecognition ...
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ISBN:
(纸本)9781467399395
Critical to any automated surveillance system is the recognition component. Since the inception of Pattern recognition & Image processing, researchers across the globe continue to propose newer facial recognition algorithms. Each of these facialalgorithms has its own pros and cons. A typical facialrecognition algorithm consists of three steps namely: facial detection, feature extraction and recognition. In this paper we discuss serial and parallel implementation of four standard facial recognition algorithms namely, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA) and FISHER Face. Work presented in this paper consists of two sections. In section 1, we discuss serial and parallel implementation of the algorithms. Section 2, presents a comparative performance analysis of the above 4 algorithms. A major challenge in this effort is the ability to explore and exploit concurrency in existing facial recognition algorithms to improve performance. Based on the algorithms performance, we have made few suggestions regarding the suitability of each of these algorithms for different domains/applications. All algorithms are implemented using open source OPENCV and OPENMP libraries.
In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and the community materially and morally. This article presents a new and...
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In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and the community materially and morally. This article presents a new and original project developed to find a solution to this major social problem. There are three main parts of the project that are synchronized and interactive with each other. Each main part has its own sub-parts. In the first main part, there are units consisted of a robot working structure wandering around the outer world with a radio control (R/C) camera, solar power panel, and shock device unit. In the second main part, there is an interface program with implementations such as face recognition, short message service (SMS) sending, and warning programmed in the computer. In the third main part, there is a mobile phone and communication process on the robot transferring the information regarding the location. Finding the missing people is realized by synchronous communication of the robot and the interface implementation. As a result, an important study was carried out for the process of finding missing persons, which is a common and major social problem of the whole world.
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