Detección de vida vía software en imágenes de iris ... - ATVS

Abstract:In this M.Sc. Thesis, we study, implement and test an iris liveness detection system. This isan anti-spoofing system which detects possible attacks before the identification orverification process applying image processing techniques to the sample taken by thesensor.The idea of the project comes from the need to find countermeasures to direct attacks tobiometric authentication systems using forgery images of real eyes.After a review of the state of the art of biometrics, and more specially of iris-livenessdetection systems, we select and implement the best features proposed with enoughdiscriminative power, and we propose new features using adapted from different state-ofthe-artworks.In the experimental section, three different stages may be differentiated:i) We analyzed the behavior of the image sets (original and fake) for each of the22 implemented features and later we divided the data base to carry out thesecond and the third stages (train and test).ii) We assessed the liveness detection capability of the set of 22 features, also westudied different subsets using the training subset.iii) We got the final results evaluating the liveness detection capability of the bestsubsets found in ii) using for this stage the test subset.Finally we evaluate the possible differences between train and test results, then we use theresults to present conclusions and based on them, some future direction to improve theimplemented system.This M.Sc. Thesis, presents a liveness detection toolkit on iris images with a very highclassification accuracy in the data bases used in the investigation. Even this research workhas led us to submit two papers to international peer reviewed conferences.Key Words:Biometrics, image processing, attacks to biometric systems, iris recognition, biometriccountermeasures, liveness detection systems, quality features.vi