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.13(6), 739a750 (2004) Masek, L., Kovesi, P.: Matlab source code for a biometric identification system based on iris patterns (2003) www.csse.uwa.edu.au/~pk/ studentprojects/libor/sourcecode.html Newton, E.M., Phillips, ... 28(12), 1892a 1901 (2006) West Virginia university iris dataset. www.csee.wvu.edu/~xinl/demo/ nonideal_iris.html Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust faceanbsp;...
|Title||:||Handbook of Iris Recognition|
|Author||:||Mark J. Burge, Kevin Bowyer|
|Publisher||:||Springer Science & Business Media - 2013-01-12|