Designed for undergraduate and graduate students in computer science and electrical engineering, "Introduction to Biometrics" is also suitable for researchers and biometric and computer security professionals.
The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.
This highly anticipated new edition of the Handbook of Face Recognition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following 26 chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions.
Topics and features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; examines the design of accurate, reliable, and secure face recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications from person verification, surveillance, and security, to entertainment; presents contributions from an international selection of preeminent experts; integrates numerous supporting graphs, tables, charts, and performance data.
This practical and authoritative reference is the essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.
The Handbook of Biometrics -- an edited volume contributed by prominent invited researchers in Biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals composed of practitioners and researchers in Biometrics, Pattern Recognition and Computer Security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.
Handbook of Multibiometrics, a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios possible when fusing biometric evidence from multiple information sources.
This comprehensive volume on multibiometric systems, concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits.
*General principles and ideas of designing biometric-based systems and their underlying tradeoffs
*Identification of important issues in the evaluation of biometrics-based systems
*Integration of biometric cues, and the integration of biometrics with other existing technologies
*Assessment of the capabilities and limitations of different biometrics
*The comprehensive examination of biometric methods in commercial use and in research development
*Exploration of some of the numerous privacy and security implications of biometrics.
Also included are chapters on face and eye identification, speaker recognition, networking, and other timely technology-related issues. All chapters are written by leading internationally recognized experts from academia and industry.
Biometrics: Personal Identification in Networked Society is an invaluable work for scientists, engineers, application developers, systems integrators, and others working in biometrics.
The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "the hacker ethic," that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.
—Tom Vanderbilt, New York Times bestselling author of Traffic
In Tubes, Andrew Blum, a correspondent at Wired magazine, takes us on an engaging, utterly fascinating tour behind the scenes of our everyday lives and reveals the dark beating heart of the Internet itself. A remarkable journey through the brave new technological world we live in, Tubes is to the early twenty-first century what Soul of a New Machine—Tracy Kidder’s classic story of the creation of a new computer—was to the late twentieth.
The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced.
With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow, streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited.
In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.
The answer is time management. And not just any time management theory--you want Time Management for System Administrators, to be exact. With keen insights into the challenges you face as a sys admin, bestselling author Thomas Limoncelli has put together a collection of tips and techniques that will help you cultivate the time management skills you need to flourish as a system administrator.
Time Management for System Administrators understands that an Sys Admin often has competing goals: the concurrent responsibilities of working on large projects and taking care of a user's needs. That's why it focuses on strategies that help you work through daily tasks, yet still allow you to handle critical situations that inevitably arise.
Among other skills, you'll learn how to:Manage interruptionsEliminate timewastersKeep an effective calendarDevelop routines for things that occur regularlyUse your brain only for what you're currently working onPrioritize based on customer expectationsDocument and automate processes for faster execution
What's more, the book doesn't confine itself to just the work environment, either. It also offers tips on how to apply these time management tools to your social life. It's the first step to a more productive, happier you.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care?
Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.
Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls "an intellectual Wild West."
The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.
A 3D printer transforms digital information into a physicalobject by carrying out instructions from an electronic design file,or 'blueprint.' Guided by a design file, a 3D printer lays downlayer after layer of a raw material to 'print' out an object.That's not the whole story, however. The magic happens when youplug a 3D printer into today’s mind-boggling digitaltechnologies. Add to that the Internet, tiny, low cost electroniccircuitry, radical advances in materials science and biotech andvoila! The result is an explosion of technological and socialinnovation.
Fabricated takes the reader onto a rich and fulfillingjourney that explores how 3D printing is poised to impact nearlyevery part of our lives.
Aimed at people who enjoy books on business strategy, popularscience and novel technology, Fabricated will providereaders with practical and imaginative insights to the question'how will this technology change my life?' Based on hundreds ofhours of research and dozens of interviews with experts from abroad range of industries, Fabricated offers readers aninformative, engaging and fast-paced introduction to 3D printingnow and in the future.
The Internet has been hailed as an unprecedented democratizing force, a place where everyone can be heard and all can participate equally. But how true is this claim? In a seminal dismantling of techno-utopian visions, The People's Platform argues that for all that we "tweet" and "like" and "share," the Internet in fact reflects and amplifies real-world inequities at least as much as it ameliorates them. Online, just as off-line, attention and influence largely accrue to those who already have plenty of both.
What we have seen so far, Astra Taylor says, has been not a revolution but a rearrangement. Although Silicon Valley tycoons have eclipsed Hollywood moguls, a handful of giants like Amazon, Apple, Google, and Facebook remain the gatekeepers. And the worst habits of the old media model—the pressure to seek easy celebrity, to be quick and sensational above all—have proliferated on the web, where "aggregating" the work of others is the surest way to attract eyeballs and ad revenue. When culture is "free," creative work has diminishing value and advertising fuels the system. The new order looks suspiciously like the old one.
We can do better, Taylor insists. The online world does offer a unique opportunity, but a democratic culture that supports diverse voices and work of lasting value will not spring up from technology alone. If we want the Internet to truly be a people's platform, we will have to make it so.
With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.
This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.Learn OpenCV data types, array types, and array operationsCapture and store still and video images with HighGUITransform images to stretch, shrink, warp, remap, and repairExplore pattern recognition, including face detectionTrack objects and motion through the visual fieldReconstruct 3D images from stereo visionDiscover basic and advanced machine learning techniques in OpenCV
Compare distributed apps (dapps) to web apps
Write Ethereum smart contracts in Solidity
Deploy your own dapp, coin, and blockchain
Work with basic and intermediate smart contracts
Who This Book Is For
Experts will find the advanced sample projects in this book rewarding because of the power of Solidity
Conversion Optimization offers practical advice on how to persuade visitors to make a buying decision -- without driving them away through data overload or tedious navigation. You'll learn how to use marketing principles, design, usability, and analytics on your site to increase your buyer-to-visitor ratio, whether you're involved with marketing or designing a large ecommerce site, or managing a modest online operation.
Based on the authors' broad experience in helping businesses attract online customers, this book addresses every aspect of the process, from landing visitors to finalizing the sale. You'll learn several techniques for blending successful sales approaches with the particular needs of the people you want to attract. Are you ready to do what it takes to get a double-digit conversion rate?Explore case studies involving significant conversion rate improvementsWalk through different stages of a sale and understand the value of eachUnderstand your website visitors through persona creationConnect with potential customers and guide them toward a conversionLearn how to deal with FUDs -- customer fears, uncertainties, and doubtsExamine the path that visitors take from landing page to checkoutTest any change you make against your original design
"The Web is unique in its ability to deliver this almost improbable win-win: You can increase revenue AND make your customers happy. Yet most websites stink. Worry not, Khalid and Ayat to the rescue! Buy this book to follow their practical advice on how to create high converting websites that your visitors love."--Avinash Kaushik, author of Web Analytics 2.0 and Web Analytics: An Hour A Day (both Sybex)
The father of virtual reality explains its dazzling possibilities by reflecting on his own lifelong relationship with technology
Bridging the gap between tech mania and the experience of being inside the human body, Dawn of the New Everything is a look at what it means to be human at a moment of unprecedented technological possibility.
Through a fascinating look back over his life in technology, Jaron Lanier, an interdisciplinary scientist and father of the term “virtual reality,” exposes VR’s ability to illuminate and amplify our understanding of our species, and gives readers a new perspective on how the brain and body connect to the world. An inventive blend of autobiography, science writing, philosophy and advice, this book tells the wild story of his personal and professional life as a scientist, from his childhood in the UFO territory of New Mexico, to the loss of his mother, the founding of the first start-up, and finally becoming a world-renowned technological guru.
Understanding virtual reality as being both a scientific and cultural adventure, Lanier demonstrates it to be a humanistic setting for technology. While his previous books offered a more critical view of social media and other manifestations of technology, in this book he argues that virtual reality can actually make our lives richer and fuller.
Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You’ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.Discover how microservices allow you to align your system design with your organization’s goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures
This book is dedicated to all the machine learning and deep learning enthusiasts, data scientists, researchers, and even students who want to perform more accurate, fast machine learning operations with TensorFlow. Those with basic knowledge of programming (Python and C/C++) and math concepts who want to be introduced to the topics of machine learning will find this book useful.What You Will LearnInstall and adopt TensorFlow in your Python environment to solve mathematical problemsGet to know the basic machine and deep learning conceptsTrain and test neural networks to fit your data modelMake predictions using regression algorithmsAnalyze your data with a clustering procedureDevelop algorithms for clustering and data classificationUse GPU computing to analyze big dataIn Detail
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.
This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.
By the end of this book, you'll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.Style and approach
Get quickly up and running with TensorFlow using this fast-paced guide. You will get to know everything that can be done with TensorFlow and we'll show you how to implement it in your environment. The examples in the book are from the core of the computation industry—something you can connect to and will find familiar.
Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.Learn techniques used in robot navigation, medical image analysis, and other computer vision applicationsWork with image mappings and transforms, such as texture warping and panorama creationCompute 3D reconstructions from several images of the same sceneOrganize images based on similarity or content, using clustering methodsBuild efficient image retrieval techniques to search for images based on visual contentUse algorithms to classify image content and recognize objectsAccess the popular OpenCV library through a Python interface
How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.
An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)
Based on his nine years of experience as a program manager for Internet Explorer, and lead program manager for Windows and MSN, Berkun explains to technical and non-technical readers alike what it takes to get through a large software or web development project. Making Things Happen doesn't cite specific methods, but focuses on philosophy and strategy. Unlike other project management books, Berkun offers personal essays in a comfortable style and easy tone that emulate the relationship of a wise project manager who gives good, entertaining and passionate advice to those who ask.
Topics in this new edition include:How to make things happenMaking good decisionsSpecifications and requirementsIdeas and what to do with themHow not to annoy peopleLeadership and trustThe truth about making datesWhat to do when things go wrongComplete with a new forward from the author and a discussion guide for forming reading groups/teams, Making Things Happen offers in-depth exercises to help you apply lessons from the book to your job. It is inspiring, funny, honest, and compelling, and definitely the one book that you and your team need to have within arm's reach throughout the life of your project.
Coming from the rare perspective of someone who fought difficult battles on Microsoft's biggest projects and taught project design and management for MSTE, Microsoft's internal best practices group, this is valuable advice indeed. It will serve you well with your current work, and on future projects to come.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
Once you understand the theory behind dapps and what a thriving dapp ecosystem looks like, Raval shows you how to use existing tools to create a working dapp. You’ll then take a deep dive into the OpenBazaar decentralized market, and examine two case studies of successful dapps currently in use.Learn advances in distributed-system technology that make distributed data, wealth, identity, computing, and bandwidth possibleBuild a Twitter clone with the Go language, distributed architecture, decentralized messaging app, and peer-to-peer data storeLearn about OpenBazaar’s decentralized market and its structure for supporting transactionsExplore Lighthouse, a decentralized crowdfunding project that rivals sites such as Kickstarter and IndieGogoTake an in-depth look at La’Zooz, a P2P ridesharing app that transmits data directly between riders and drivers
The second edition focuses on Drupal 7, the latest version of this open source system. Each project spans an entire chapter, with step-by-step "recipes" to help you build out the precise functionality the site requires. With this book, developers new to Drupal will gain experience through a hands-on introduction, and experienced Drupal developers will learn real-world best practices.Learn Drupal’s concepts and building blocks, and how everything works togetherHit the ground running—build your first Drupal site hands-onExplore solutions that meet each project’s requirements, and discover why specific modules were selectedUnderstand the projects through case studies, including the client’s needs and desiresLearn how to configure modules with a bird’s-eye view of how they workDiscover new modules, including Drupal Commerce, Media, and Workbench
As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel.Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream dataFind a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or systemDiscover in-depth global case studies showing how organizations have successfully used metrics and the information they revealedCompanion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience
This book is a compilation of three short guides—Planning Drupal Projects, Design and Prototyping for Drupal, and Drupal Development Tricks for Designers—plus exclusive "director’s material." If you’re familiar with HTML and CSS, but struggling with Drupal’s learning curve, this is the book you’ve been looking for.Get extra material, including an expanded Grids chapter, more recommended modules, and a Short Form Project planLearn how to work user-centered design practices into Drupal projectsChoose the right modules for your project, and discover several go-to modulesUse strategies for sketching, wireframing, and designing effective layoutsManage Drupal’s markup, including code generated by the powerful Views moduleLearn how to work with Drupal on the command lineSet up your development environment and collaborate with other designers and developersLearn the basics of Git, the free open source version control system
The network has become the core organizational structure for postmodern politics, culture, and life, replacing the modern era’s hierarchical systems. From peer-to-peer file sharing and massive multiplayer online games to contagion vectors of digital or biological viruses and global affiliations of terrorist organizations, the network form has become so invasive that nearly every aspect of contemporary society can be located within it.
Borrowing their title from the hacker term for a program that takes advantage of a flaw in a network system, Alexander R. Galloway and Eugene Thacker challenge the widespread assumption that networks are inherently egalitarian. Instead, they contend that there exist new modes of control entirely native to networks, modes that are at once highly centralized and dispersed, corporate and subversive.
In this provocative book-length essay, Galloway and Thacker argue that a whole new topology must be invented to resist and reshape the network form, one that is as asymmetrical in relationship to networks as the network is in relation to hierarchy.
Alexander R. Galloway is associate professor of culture and communications at New York University and the author of Gaming: Essays on Algorithmic Culture (Minnesota, 2006) and Protocol: How Control Exists after Decentralization.
Eugene Thacker is associate professor of new media at the Georgia Institute of Technology and the author of Biomedia (Minnesota, 2004) and The Global Genome: Biotechnology, Politics, and Culture.
It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth EditionSolved examples in Matlab, including real-life data sets in imaging and audio recognitionAvailable separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
Hello, Startup is a practical, how-to guide that consists of three parts: Products, Technologies, and Teams. Although at its core, this is a book for programmers, by programmers, only Part II (Technologies) is significantly technical, while the rest should be accessible to technical and non-technical audiences alike.
If you’re at all interested in startups—whether you’re a programmer at the beginning of your career, a seasoned developer bored with large company politics, or a manager looking to motivate your engineers—this book is for you.