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Biometry based on retinal videosequences
Oweis, Kamil ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The biometric methods are the most advanced methods for recognition and verification of person identity. These methods are quite fast, safe and applicable in different situations. In this thesis is used a set of retinal scans taken with a video-ophtalmoscope. These pictures are further modified for next processing, first of all by convertion into black-andwhite binary image, in some cases was after that used a binary matrix for description of image. Afterwards was suggested comparison method of images from the database with reference image of the retina: method of overlap and shift. It was tested a set of blackand-white and then also grey images. All method calculations was realized in program Matlab of which outcome was determination of the most congruent image with reference image and evaluation of overall program accuracy.
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Analysis of vessel pulsation in retinal video sequences
Valentová, Vanessa ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
Glaucoma is the third most common cause of blindness in the world. There are several types of glaucomma, which makes early diagnosis of this illness harder. One posibble way for early diagnosis could be analysis of a retinal vessel pulsation. Data in this work were captured by experimental device called video ophtalmoscope. Several methods for optic disc segmentation were designed. From segmented parts, pulsation curve was recorded. Analysis of the pulsation curve was provided in two ways: Analysis of the whole pulsation curve and Averaged pulse analysis. Both methods were tested with diferent reference signals.
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Identification of persons using retinal biometry
Klimešová, Lenka ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This paper deals with identification of persons using retinal biometry. The retinal vasculature is invariant and unique to everyone, which determines it for biometric purposes. The first part of the work includes information about biometrics, biometric systems and reliability measures. The next part describes the principle of using experimental video ophthalmoscope, which was used for retinal vascular imaging and includes the literature research of use of retinal images for biometrics, feature extraction methods and similarity measures. Finally, two algorithms to use the input data are proposed and realized in programming environment MATLAB®. The methods are tested and evaluated on a data set from experimental video ophthalmoscope and on publicly available STRaDe and DRIVE databases.
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Identification of persons using retinal biometry
Klimešová, Lenka ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This paper deals with identification of persons using retinal biometry. The retinal vasculature is invariant and unique to everyone, which determines it for biometric purposes. The first part of the work includes information about biometrics, biometric systems and reliability measures. The next part describes the principle of using experimental video ophthalmoscope, which was used for retinal vascular imaging and includes the literature research of use of retinal images for biometrics, feature extraction methods and similarity measures. Finally, two algorithms to use the input data are proposed and realized in programming environment MATLAB®. The methods are tested and evaluated on a data set from experimental video ophthalmoscope and on publicly available STRaDe and DRIVE databases.
|
|
|
Analysis of vessel pulsation in retinal video sequences
Valentová, Vanessa ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
Glaucoma is the third most common cause of blindness in the world. There are several types of glaucomma, which makes early diagnosis of this illness harder. One posibble way for early diagnosis could be analysis of a retinal vessel pulsation. Data in this work were captured by experimental device called video ophtalmoscope. Several methods for optic disc segmentation were designed. From segmented parts, pulsation curve was recorded. Analysis of the pulsation curve was provided in two ways: Analysis of the whole pulsation curve and Averaged pulse analysis. Both methods were tested with diferent reference signals.
|
|
|
Biometry based on retinal videosequences
Oweis, Kamil ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The biometric methods are the most advanced methods for recognition and verification of person identity. These methods are quite fast, safe and applicable in different situations. In this thesis is used a set of retinal scans taken with a video-ophtalmoscope. These pictures are further modified for next processing, first of all by convertion into black-andwhite binary image, in some cases was after that used a binary matrix for description of image. Afterwards was suggested comparison method of images from the database with reference image of the retina: method of overlap and shift. It was tested a set of blackand-white and then also grey images. All method calculations was realized in program Matlab of which outcome was determination of the most congruent image with reference image and evaluation of overall program accuracy.
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