Automatic person authentication, the identification and verification of an individual as such, has increasingly been acknowledged as a significant aspect of various security applications. Various recognition and identification systems have been based on biometrics utilizing biometric features such as fingerprint, face, retina scans, iris patterns, hand geometry, DNA traces, gait, and others. This book originates from an international summer school on biometrics, held in Alghero, Italy, in June 2003. The seven revised tutorial lectures by leading researchers introduce the reader to biometrics-based person authentication, fingerprint recognition, gait recognition, various aspects of face recognition and face detection, topologies for biometric recognition, and hand detection. Also included are the four best selected student papers, all dealing with face recognition.
Advanced Studies in Biometrics
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Inside This Book
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First Sentence:
Face recognition is an important element of person authentication in humans. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gait recognition systems, local ridge orientation, fingerprint area, control lattice, fiducial points, frequency entrainment, fingerprint images, skeletal dimensions, minutiae extraction, feret database, face graph, face detection, biometric system, face recognition system, matching scores, hand tracking, fusion strategy, support vector machines, ridge structure, fingerprint recognition, face analysis, machine recognition, gray level images, person authentication Key Phrases - Capitalized Phrases (CAPs): (learn more)
Bayesian Conciliation, Biometrics School, Springer-Verlag Berlin Heidelberg, New York, Technical Report, Artificial Intelligence, European Conference, Machine Intell, San Juan, Springer Verlag, Sum Rule, Academic Press, Cambridge University Press, Halmstad University, Journal of Cognitive Neuroscience, Pattern Anal, Peurto Rico, Principal Components Analysis, Several Classifiers, Video-based Person Authentication New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Face recognition is an important element of person authentication in humans. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gait recognition systems, local ridge orientation, fingerprint area, control lattice, fiducial points, frequency entrainment, fingerprint images, skeletal dimensions, minutiae extraction, feret database, face graph, face detection, biometric system, face recognition system, matching scores, hand tracking, fusion strategy, support vector machines, ridge structure, fingerprint recognition, face analysis, machine recognition, gray level images, person authentication Key Phrases - Capitalized Phrases (CAPs): (learn more)
Bayesian Conciliation, Biometrics School, Springer-Verlag Berlin Heidelberg, New York, Technical Report, Artificial Intelligence, European Conference, Machine Intell, San Juan, Springer Verlag, Sum Rule, Academic Press, Cambridge University Press, Halmstad University, Journal of Cognitive Neuroscience, Pattern Anal, Peurto Rico, Principal Components Analysis, Several Classifiers, Video-based Person Authentication New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 23
books:
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- Software Engineering (Series on Computer Science & Applications) by Roger Y. Lee in Back Matter (1), and Back Matter (2)
- Handbook of Fingerprint Recognition by Davide Maltoni on page 43, and page 67
- Computer Science by Richard Jones on page 105, and Back Matter
- A Dynamic Systems Approach to Development: Applications (Cognitive Psychology) by Linda B. Smith on page 40
- Robot Vision (MIT Electrical Engineering and Computer Science) by Berthold K.P. Horn on page 41
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