Studienprojekte

Projekte sind ein essenzieller Bestandteil des Curriculums von Mobile Computing. Die Studierenden bekommen die Möglichkeit, das im Zuge ihres Studiums erworbene theoretische Wissen selbst praktisch umzusetzen. Ein sowohl für StudentInnen als auch für Lehrende immer wieder spannendes Unterrichtskonzept, in dem schon erfolgreiche Startups wie z.B. runtastic und Butleroy ihre Anfänge gefunden haben.

Iris Recognition

Zeitraum
Oct 2016 - Feb 2017
FH Studierende
Tassilo Posegga
FH BetreuerIn
Dipl. Ing. Dr. techn. Erik Sonnleitner

An Android application which is capable of taking images of an iris and use a tool chain to segment this picture, extract its features and store the according iris code. The stored iris code then can be used to compare against other already stored iris codes and present the matching results to the user.

Ziel

A prototype was developed using the USIT – University of Salzburg Iris Toolkit v1.0 [1].

USIT provides C++ code which was developed for Linux and Windows and is handled via command line, no GUI given. It contains algorithms for segmentation of an iris, it’s feature extraction and storing the resulting iris codes. The whole process relies on stored images in the file system. Using the Android NDK USIT was integrated into an Android Application and interfaces for all need algorithms were created.

Target of this prototype is to collect data about the feasibility of using mobile phones and their integrated cameras for iris authentication. Furthermore, different algorithms for feature extraction and comparison will be used to compare their performance on different devices. Empirical studies will give deeper insights on what thresholds can be chosen to prevent false positive/negative matching and much more.