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There is an intrinsic conflict between creating secure systems and usable systems. But usability and security can be made synergistic by providing requirements and design tools with specific usable security principles earlier in the requirements and design phase. In certain situations, it is possible to increase usability and security by revisiting design decisions made in the past; in others, to align security and usability by changing the regulatory environment in which the computers operate. This book addresses creation of a usable security protocol for user authentication as a natural outcome of the requirements and design phase of the authentication method development life cycle.

Machine vision comprises three integrated processes: acquisition, preprocessing, and image analysis. While many resources discuss application-specific image analysis, there has been no unified account of image acquisition hardware and preprocessing--until now. Image Acquisition and Preprocessing for Machine Vision Systems is a comprehensive, exhaustive reference text detailing every aspect of acquisition and preprocessing, from the illumination of a scene to the optics of image forming, from CCD and CMOS image capture to the transformation of the captured image. This book bridges the gaps between hardware and software on one hand and theory and applications on the other. With its detailed coverage of imaging hardware and derivations of preprocessing kernels, it is an invaluable design reference for students, researchers, application and product engineers, and systems integrators. Distinctive features of the book include: •Detailed theories of CCD and CMOS image sensors, image formation, scene illumination, and camera calibration. •Unique combination of operational details of imaging hardware (front-end electronics) and analytical theories of low-level image-processing functions. •Coverage of image-acquisition modules and preprocessing functions within a unified framework. •Derivation of 2D image-processing functions from first principles by extending 1D signal-processing concepts.