Extraction and Selection of Dynamic Features of the Human Iris
Adilson Gonzaga, Ronaldo Martins da Costa · 2009
The personal identification through iris texture analysis is a highly efficient biometric identification method. Some algorithms and techniques were developed, taking into consideration the texture features of the iris image in the human eye. Nonetheless, such features, due to the fact that they are static, they are also susceptible to fraud. That is, a picture can replace the iris in an analysis. For that reason, this paper proposes a method for extracting the texture features of the iris during the pupil contraction and dilation, in addition to the dynamic contraction and dilation features themselves. Therefore, it was developed a new image acquisition system through NIR (Near Infra-Red) illumination, considering the Consensual Reflex of the eyes. The features are measured according to a dynamic illumination standard controlled by the software and are afterwards selected by means of data mining. Then it is possible to increase the safety in the biometric recognition devices of people through their iris, for only living irises can be utilized. The results show a significant precision index in determining such features, despite being inferior to the ones obtained by means of static methodology.