This authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: with a Foreword by the afather of iris recognition, a Professor John Daugman of Cambridge University; presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts; provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area; surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching); introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging. This book is an essential resource for anyone wishing to improve their understanding of iris recognition technology.489a492 (2006) Ma, L., Tan, T., Wang, Y., Zhang, D.: Efficient iris recognition by characterizing ... 13(6), 739a750 (2004) Masek, L., Kovesi, P.: Matlab source code for a biometric identification system based on iris patterns (2003)anbsp;...
|Title||:||Handbook of Iris Recognition|
|Author||:||Mark J. Burge, Kevin Bowyer|
|Publisher||:||Springer Science & Business Media - 2013-01-12|