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Finger vein biometry
Stibůrek, Miroslav ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
The following work deals with basics of biometrics terms, history of biometrics, and methods of collecting and recognizing human characteristics. The work includes facts about physics, human anatomy and physiology - these elements are necessary for a full understanding of the issue. In order to segment finger vein, a method of pre-processing scanned visual data is devised. A practical part of paper contains a proposal of a device for scanning finger vein using minicomputer Raspberry Pi and its following realization. Database of images is created using realized device and applicability of extracted finger vein for application in biometric systems is discussed.
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Finger vein biometry
Stibůrek, Miroslav ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
The following work deals with basics of biometrics terms, history of biometrics, and methods of collecting and recognizing human characteristics. The work includes facts about physics, human anatomy and physiology - these elements are necessary for a full understanding of the issue. In order to segment finger vein, a method of pre-processing scanned visual data is devised. A practical part of paper contains a proposal of a device for scanning finger vein using minicomputer Raspberry Pi and its following realization. Database of images is created using realized device and applicability of extracted finger vein for application in biometric systems is discussed.
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Recognition of Finger Veins of a Human Hand
Szalayová, Lucia ; Dvořák, Radim (referee) ; Drahanský, Martin (advisor)
This diploma thesis deals with different ways of grayscale image processing of veins in a finger of human hand. The process consists of vein structure extraction, and then this structure is compared with collection of provided snapshots. First of all we introduced problem of biometric systems and image processing. There are presented also some commercial solutions from the same field. Within the detailed description of image processing we suggested different modifications in adaptive thresholding algorithm, feature extraction, which continues into comparison of vein structures. Thesis is closed by testing and final review.
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Human Recognition by Finger Veins
Lisák, Peter ; Drahanský, Martin (referee) ; Dvořák, Radim (advisor)
The master's thesis deals with biometric systems, especially these based on human recognition by finger veins. It describes some development principles of the new biometric system. It proposes some new approaches to the comparison of finger vein patterns and their fast identification in sizable databases. Verification is based on templates comparison by similarity and distance measures with proposed alignment approaches. The proposed method of identification is based on the combination of clustering and genetic algorithm. The second option is using the indexing tree structure and searching by range query.
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