- The goal is to use a 3D printer or a robotic hand to write credible signatures.
- It will probably also be necessary to create a pen to capture the signature or use a tablet.
- Possibility to be inspired by previous work.
- Work requires work with on both HW and SW.
- Alternatively, it would be possible to generate different signatures (from the entered text) using machine learning.

Create and test algorithms for composition of image with visible finger veins to increase a quality of image.

The aim of the thesis is to get acquainted with the problem of automatic object tracking in relation to the control of a camera manipulator using modern neural networks. Within the framework of the solution the student should perform a research of existing networks suitable for the purpose of object tracking in video, design and implement an interface to connect the output of the network and the existing SAOTS surveillance system from the STRADE research group, integrate selected network models into a manipulator control application, evaluate the advantages and disadvantages of such a solution.

The aim of this project is to present the current state of the long-range surveillance and tracking system (SAOTS) developed by the STRADE group(https://strade.fit.vutbr.cz/) and its subsequent innovation. In the hardware domain, it concerns the selection of a suitable hardware upgrade aimed at computer vision applications. In the software domain, it is then the design and implementation of a unifying application that allows easy control of the entire platform currently served by several separate applications.

The goal is to scan a finger using three cameras, at suitable wavelengths, combine the photos, extract the fingerprint and create a 2D rolled print from it.
It would be advisable to create a 3D model from the photos and to mark the markings on the resulting image.

The main goal is create images of finger veins, which will simulate data from finger vein scanner device. 3D model of finger vein structure will be available, to generate a multiple images.

This topic is about extraction of the finger from the image. Definition of the mask of finger and normalisation of finger in multiple angle of view.

Transformation between touch-based fingerprints to various other types (contactless, patent, latent, plastic) including specific damages (usually background).

The goal is to simulate realistic background into synthetic fingerprint images. Background could be from various sensors or usual latent fingerprint background.

The goal is to improve synthetic fingerprint generation part of SyFDaS. There are several parts which could be improved. For the final description it is expected to finish one maximally two of these points (so there could be several thesis description generated from this one - based on candidate preferences). What can be improved:
Generation of structured information about generated fingerprint (minutiae, class, singularities, density etc.).
Generation of fingerprint based on template.
Generation of several realistically looking backgrounds.
Automation of the generation ("clever" randomisation of input data).
Improvement of class specification/different minutiae for fingerprint generation.
Extend the generation to generate rolled fingerprints/whole finger/palmprint.

The goal is to create methods to detect presentation attack on images with fingerprint and vein/thermogram. Preparation of database will be needed as well as some cooperation with creation fingerprint+vein device or position of thermal cameras.

The goal of this work is processed image in real-time from finger vein scanner device and set the illumination to increase a visibility of finger vein structure.

1) Study multispectral liveness detection technology for fingerprints and whole hands.
2) Analyze images from the supplied databases, or find other freely available databases.
3) Design an algorithm which of the multispectral images decides whether it is a living or non-living hand (counterfeit).
4) Implement the proposed algorithm.
5) Evaluate the success of the liveness classification.
6) Perform an experimental verification of the software solution and summarize the results obtained. Discuss possible extensions.

Using an existing micro satellite module based on a linear CCD sensor, implement a system capable of determining the relative position of the satellite and the sun. This is a platform based on the STM32 microcontroller.

On the provided images of the retina of the human eye, the entropy around the selected area needs to be determined. For example, it may be the amount of information around a selected pixel. This may be determined, for example, based on the amount of color, the range of the color palette, or the contrast around the selected pixel in the image. The goal is then to evaluate the entire image in this way and, based on the evaluation, apply the most appropriate cut through the image to avoid areas where information is likely to be located.

The goal is create an application for automated verification of an individual based on retinal images. The database of retinal images will also be provided. The details of the task will be discussed more precisely by agreement.

The goal is to design and implement an algorithm for automated evaluation of the retinal image quality. The database of retinal images will also be provided. The details of the task will be discussed more precisely by agreement.

The goal is create application for image processing to determine blood vessels in the finger from multiple angle o view. The database is available.