Thesis Details
Generování projevu kožního onemocnění do syntetických otisků prstů z generátoru SFinGe
This thesis discuss the topic of generation of skin disease effects, psoriasis and colagenosis into synthetic fingerprints from SFinGe generator. Thesis includes theoretical as well as practical approach of the topic including implementation design, program implementation and experiment results. SFinGe approach is used to generate fingerprints. Python (2.7.6) is used to implement algorithm for image processing and generating disease symptoms with OpenCV, Matplotlib, NumPy and SciPy libraries. For results evaluation, NFIQ standard and Oravec approach are used. The application is able to generate fingerprint image with symptoms of psoriasis or colagenosis, therefore it can be used for futher research with biometric systems.
skin disease, syntetic fingerprints, SFinGe, psoriasis vulgaris, collagenosis, image processing
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT22091, author = "Radek Wildmann", type = "Bachelor's thesis", title = "Generov\'{a}n\'{i} projevu ko\v{z}n\'{i}ho onemocn\v{e}n\'{i} do syntetick\'{y}ch otisk\r{u} prst\r{u} z gener\'{a}toru SFinGe", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22091/" }