Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.In this paper, the implementation of the iris recognition is mainly based on the Matlab source code provided by Libor Masek (Masek, 2003). ... Each track consists of 240 sectors and is regarded as 1D iris signal. ... The detection of eyelids and eyelashes is complex and has highcomputation load, (especially eyelid detection method based on parabolic Hough ... For each person, 3 iris images were selected as training images and the remaining three iris images served as testing images.
|Title||:||Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation|
|Author||:||Samuelson Hong, Wei-Chiang|
|Publisher||:||IGI Global - 2013-03-31|