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| Author | : Josette Carine Tagatio Mawafo |
| Publisher | : |
| Total Pages | : 134 |
| Release | : 2014 |
| Genre | : Android (Electronic resource) |
| ISBN | : |
| Author | : Haowei Liu |
| Publisher | : Elsevier |
| Total Pages | : 45 |
| Release | : 2014-11-25 |
| Genre | : Computers |
| ISBN | : 0124171281 |
This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges behind mobile platform design choices. Using face-related algorithms as examples, the author surveys and illustrates how design choices and algorithms can be geared towards developing power-saving and efficient applications on resource constrained mobile platforms. Presents algorithms for face detection and recognition Explains applications of facial technologies on mobile devices Includes an overview of other computer vision technologies
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 111 |
| Release | : 2023-07-06 |
| Genre | : Computers |
| ISBN | : |
What Is Facial Recognition System A facial recognition system is a technology that is able to match a human face from a digital image or a video frame against a database of faces. The human face can be captured in either still or moving images. This type of technology is generally used to verify customers through ID verification services. It accomplishes this task by locating and measuring face features from within an image that has been provided to it. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Facial recognition system Chapter 2: Biometrics Chapter 3: Face detection Chapter 4: Biometric points Chapter 5: Identity-based security Chapter 6: DeepFace Chapter 7: Visage SDK Chapter 8: Algorithmic bias Chapter 9: Amazon Rekognition Chapter 10: Clearview AI (II) Answering the public top questions about facial recognition system. (III) Real world examples for the usage of facial recognition system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of facial recognition system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of facial recognition system.
| Author | : Weihao Gao |
| Publisher | : |
| Total Pages | : 75 |
| Release | : 2013 |
| Genre | : Human face recognition (Computer science) |
| ISBN | : |
The purpose of this application is to develop an embedded system application which is able to collect face image and recognize the face by comparing with the database inside the system. Face recognition as a type of biometric methods has the features of non-contact, safety and convenience. It is widely used in human-computer interaction, transaction authentication, security and other fields. Recent years, with the development of mobile internet and embedded computer, it becomes possible to run face recognition on embedded system. This type of application has huge potential in remote payment and personal information security. This application is running on Android operating system which is an operating system based on the Linux kernel, and designed primarily for touchscreen mobile devices such as smartphones and tablet computers. The procedure of face recognition includes face detection, face normalization and recognition. This paper studies these key issues and successfully developed an application with nice recognition rate. The main contents and results are as follows:1) Discusses the face detection method. It used Adaboost algorithm and Haar features to detect human faces.2) Studies image pre-processing methods. Standardize the images so as to minimize the storage space and speed up the computation speed. 3) Summarize a variety of face recognition algorithms especially principle component analysis which is used in this application. Discuss the theoretical foundation of PCA algorithm. 4) Fulfilled all the features from face detection to recognition in Android platform. Using ORL face image database for testing and got a correct identification rate of over 85%. Fully verify the effectiveness of the program. Discuss the results and identification strategies.
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 108 |
| Release | : 2024-05-04 |
| Genre | : Computers |
| ISBN | : |
What is Facial Recognition System A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Facial recognition system Chapter 2: Face detection Chapter 3: Biometrics Chapter 4: Biometric points Chapter 5: DeepFace Chapter 6: Visage SDK Chapter 7: Amazon Rekognition Chapter 8: Clearview AI Chapter 9: Adam Harvey (artist) Chapter 10: Identity replacement technology (II) Answering the public top questions about facial recognition system. (III) Real world examples for the usage of facial recognition system in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Facial Recognition System.
| Author | : B.M.K. Prasad |
| Publisher | : CRC Press |
| Total Pages | : 1551 |
| Release | : 2017-02-15 |
| Genre | : Computers |
| ISBN | : 1315318911 |
This book is a collection of accepted papers that were presented at the International Conference on Communication and Computing Systems (ICCCS-2016), Dronacharya College of Engineering, Gurgaon, September 9–11, 2016. The purpose of the conference was to provide a platform for interaction between scientists from industry, academia and other areas of society to discuss the current advancements in the field of communication and computing systems. The papers submitted to the proceedings were peer-reviewed by 2-3 expert referees. This volume contains 5 main subject areas: 1. Signal and Image Processing, 2. Communication & Computer Networks, 3. Soft Computing, Intelligent System, Machine Vision and Artificial Neural Network, 4. VLSI & Embedded System, 5. Software Engineering and Emerging Technologies.
| Author | : Nawaz Mohamudally |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 224 |
| Release | : 2017-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9535135899 |
Smartphones from an Applied Research Perspective highlights latest advancements of research undertaken in multidisciplinary fields where the smartphone plays a central role. Smartphone is synonymous to innovation in today's society. Very few visionaries predicted its social, cultural, technological and economic impacts, although the usage of smartphone is almost pervasive and transcendental. This book is meant for researchers and postgraduate students looking forward for hot topics for their final year projects, doctoral or even postdoctoral studies. Practitioners too will find food for thought and will surely be amazed by the broadness of the topics presented.
| Author | : Mohamed Elhoseny |
| Publisher | : Springer |
| Total Pages | : 253 |
| Release | : 2019-07-20 |
| Genre | : Computers |
| ISBN | : 9811386145 |
This book gathers high-quality research articles and reviews that reflect the latest advances in the smart network-inspired paradigm and address current issues in IoT applications as well as other emerging areas. Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications.
| Author | : Jeaff Zheng Wang |
| Publisher | : |
| Total Pages | : |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 182 |
| Release | : 2010-12-12 |
| Genre | : Computers |
| ISBN | : 0309142075 |
Biometric recognition-the automated recognition of individuals based on their behavioral and biological characteristic-is promoted as a way to help identify terrorists, provide better control of access to physical facilities and financial accounts, and increase the efficiency of access to services and their utilization. Biometric recognition has been applied to identification of criminals, patient tracking in medical informatics, and the personalization of social services, among other things. In spite of substantial effort, however, there remain unresolved questions about the effectiveness and management of systems for biometric recognition, as well as the appropriateness and societal impact of their use. Moreover, the general public has been exposed to biometrics largely as high-technology gadgets in spy thrillers or as fear-instilling instruments of state or corporate surveillance in speculative fiction. Now, as biometric technologies appear poised for broader use, increased concerns about national security and the tracking of individuals as they cross borders have caused passports, visas, and border-crossing records to be linked to biometric data. A focus on fighting insurgencies and terrorism has led to the military deployment of biometric tools to enable recognition of individuals as friend or foe. Commercially, finger-imaging sensors, whose cost and physical size have been reduced, now appear on many laptop personal computers, handheld devices, mobile phones, and other consumer devices. Biometric Recognition: Challenges and Opportunities addresses the issues surrounding broader implementation of this technology, making two main points: first, biometric recognition systems are incredibly complex, and need to be addressed as such. Second, biometric recognition is an inherently probabilistic endeavor. Consequently, even when the technology and the system in which it is embedded are behaving as designed, there is inevitable uncertainty and risk of error. This book elaborates on these themes in detail to provide policy makers, developers, and researchers a comprehensive assessment of biometric recognition that examines current capabilities, future possibilities, and the role of government in technology and system development.
