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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment. Algorithm is tested on dataset created from LivDet databases. Performance of algorithm is represented by value EER which is compared with EERs of other algorithms tested in FVC 2006.
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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment
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Design of the laboratory task for attack on fingerprint authentication
Spurný, Jiří ; Vyoral, Josef (referee) ; Burda, Karel (advisor)
This thesis deal with personal fingerprint authentication and contains basic types of fingerprint readers included their principles of working. In this thesis are collected published attempts to this type of biometric authentication and in detail described way, how these attempts were realized . Realization of lab measurement is mentioned in practical part of thesis, is designed based on collected and evaluated information. Tendency for realization was to use materials and procedures which are available on market as well as computer technology. So no special equipment is needed for realization. Practical part describes in detail procedures for papillary lines capturing and their electronic processing. Described is also way to break through optical finger print sensor. For confirmation of procedure was made 12 artificial finger casts from Lukopren material. There casts were used to attempt on optical sensor Microsoft Fingerprint Reader with 100% success. Based on realized tests to produce artificial casts was proposed procedure for realization of laboratory measurement. This procedure is described in main part of this thesis. Proposed procedure has been confirmed in 90 minutes time limit, based on requirement to achieve time limit of school training session.
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Liveness Detection of a Finger Based on Changes of Papillary Lines
Lichvár, Michal ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
There are several frauds against biometric systems (BSs) and several techniques exist to secure BSs against these frauds. One of the techniques is liveness detection. To fool fingerprint sensors, latent fingerprints, dummy fingers and wafer-thin layer attached to the finger are being used. Liveness detection is being used also when scanning fingerprints. Several different characteristics of the live finger can be used to detect liveness, for example sweat, conductivity etc. In this thesis, new approach is examined. It is based on the expandability of the finger as an effect of heartbeats/pulsation. As the skin is expanding, also the distances between papillary lines are expanding. Whole finger expands approximately in range of 4,5 ľm , the distance between two neighbor papillary lines in 0,454 ľm . This value collides with wavelength of blue and green light. The result from this work is following. The resolution of the capturing device is not high enough to capture the expandability on distance between two neighbor papillary lines. Also, because of collision with wavelength, the diffraction effect is presented and the result images are influenced by this error.
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Extraction of Detailed Information from Fingerprint
Češka, Petr ; Sakin, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor's thesis deals with the extraction of detailed information from a fingerprint , especially width , direction and density of papillary lines . The main goal is to design and implement at an application that extracts these information from the fingerprint , which it graphically displays , statistically processes and provides them for further processing . Testing was performed using two synthetic databases , one real database and several separate fingerprints . The extracted information is compared with the gender of the fingerprint owner and it is evaluated whether it correlates together . Information showed some correlation , but due to the insufficiently large database , general conclusions cannot be made .
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Detection of Papillary Line Width by Fingerprints
Homola, Antonín ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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Extraction of Detailed Information from Fingerprint
Češka, Petr ; Sakin, Martin (referee) ; Kanich, Ondřej (advisor)
This bachelor's thesis deals with the extraction of detailed information from a fingerprint , especially width , direction and density of papillary lines . The main goal is to design and implement at an application that extracts these information from the fingerprint , which it graphically displays , statistically processes and provides them for further processing . Testing was performed using two synthetic databases , one real database and several separate fingerprints . The extracted information is compared with the gender of the fingerprint owner and it is evaluated whether it correlates together . Information showed some correlation , but due to the insufficiently large database , general conclusions cannot be made .
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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment. Algorithm is tested on dataset created from LivDet databases. Performance of algorithm is represented by value EER which is compared with EERs of other algorithms tested in FVC 2006.
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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment
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Detection of Papillary Line Width by Fingerprints
Homola, Antonín ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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