This book illustrates how to deal with complex media and convert raw data into useful information. Students and researchers needing a solid foundation or reference, and practitioners interested in discovering more about the state-of-the-art will find this book invaluable.
This text presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either 'local learning' or 'global learning.'
This first book to introduce the fundamentals of biometrics; it covers common modalities including fingerprint, face, iris, hand geometry, signature and voice. Exercises help readers gain experience in designing computer programs for biometric applications.
This book provides comprehensive coverage of information theory elements implied in modern CVPR algorithms. It introduces information theory to researchers in CVPR, and additionally introduces interesting CVPR problems to information theorists.
This book presents a detailed analysis of spectral imaging, describing how it can be used in material identification, object recognition and scene understanding. It reviews a range of applications, from computational photography to biosecurity.
The Handbook of Iris Recognition details this rapidly developing technology. It provides complete coverage of key subjects in the field, from sensor acquisition to matching, as well as examines the business decisions involved in developing such as system.
This comprehensive handbook provides in-depth coverage of the most recent advances and practices in fingerprint recognition. Readers will find authoritative coverage of all the major concepts, topics, and security methods associated with the subject.
This highly anticipated new edition provides a thorough account of face recognition research and technology, spanning detection, tracking, alignment, feature extraction, recognition technologies and issues in evaluation, systems, security and applications.