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Generation of Skin Disease Effects into Synthetic Fingerprints from SFinGe Generator
Wildmann, Radek ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
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.
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Generation of Skin Disease into the Synthetic Fingerprints
Bárta, Milan ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
The thesis deals with design and implementation of a tool for simulating marks of chosen skin diseases into a synthetic fingerprint. The diseases selected to work with are warts and atopic eczema. The marks of diseases are generated into a synthetic fingerprint image created by the SFinGe application. Existing disesase-affected fingerprints from the STRaDe database are analysed in detail. Then, methods for simulating the diseases into a synthetic fingerprint are proposed, implemented, and the results are evaluated.
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Generation of Skin Disease Effects into Synthetic Fingerprints from SFinGe Generator
Wildmann, Radek ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
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.
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Generation of Skin Disease into the Synthetic Fingerprints
Bárta, Milan ; Kanich, Ondřej (referee) ; Drahanský, Martin (advisor)
The thesis deals with design and implementation of a tool for simulating marks of chosen skin diseases into a synthetic fingerprint. The diseases selected to work with are warts and atopic eczema. The marks of diseases are generated into a synthetic fingerprint image created by the SFinGe application. Existing disesase-affected fingerprints from the STRaDe database are analysed in detail. Then, methods for simulating the diseases into a synthetic fingerprint are proposed, implemented, and the results are evaluated.
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