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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Reconstruction of Damaged Parts of Fingerprint Image
 Halva, Vladislav ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of damaged fingerprint areas. The main goal is the design and implementation of an algorithm for the reconstruction of these regions. The designed algorithm consists of three main parts. The first part is fingerprint feature extraction and their derivation in damaged areas. The second part is a localization of damaged areas, which is based mainly on the structure of papillary lines. The last part is the damaged areas reconstruction itself. Gabor filter is used in this part of the process. The algorithm is implemented in C++ using the OpenCV library. An analysis of the reconstruction success rate is done afterwards. It is at first evaluated using the difference of quality between the input and processed fingerprint image, estimated by NIST NFIQ 2.0 and one other alternative tool for fingerprint image quality evaluation. The next step is a manual evaluation of the reconstruction success rate in various types of damaged areas.
Detailed record
Reconstruction of Damaged Parts of Fingerprint Image
 Halva, Vladislav ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of damaged fingerprint areas. The main goal is the design and implementation of an algorithm for the reconstruction of these regions. The designed algorithm consists of three main parts. The first part is fingerprint feature extraction and their derivation in damaged areas. The second part is a localization of damaged areas, which is based mainly on the structure of papillary lines. The last part is the damaged areas reconstruction itself. Gabor filter is used in this part of the process. The algorithm is implemented in C++ using the OpenCV library. An analysis of the reconstruction success rate is done afterwards. It is at first evaluated using the difference of quality between the input and processed fingerprint image, estimated by NIST NFIQ 2.0 and one other alternative tool for fingerprint image quality evaluation. The next step is a manual evaluation of the reconstruction success rate in various types of damaged areas.
Detailed record

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