National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Test form evaluation by OCR
Noghe, Petr ; Fliegel, Karel (referee) ; Kaller, Ondřej (advisor)
This thesis deals with the evaluation forms using optical character recognition. Image processing and methods used for OCR is described in the first part of thesis. In the practical part is created database of sample characters. The chosen method is based on correlation between patterns and recognized characters. The program is designed in a graphical environment MATLAB. Finally, several forms are evaluated and success rate of the proposed program is detected.
Forensic analysis of handwriting for the Czech environment using artificial intelligence
Stejskal, Jan ; Přinosil, Jiří (referee) ; Burget, Radim (advisor)
The analysis of handwriting is an important area of research in modern science. However, it is a very complex process because handwritten text can take on various forms. The use of artificial intelligence for analyzing and identifying text from different authors is nothing new in the world. Research in this area is, however, slightly lagging behind in the Czech environment. For this reason, several convolutional network architectures were proposed and compared in this work in an effort to find the most suitable structure for solving this problem. Of all the trained and tested models, the model based on the ResNet18 architecture achieved the highest accuracy, with a success rate of 92.2 % on a self-made database of 1328 samples with a resolution of 750x256. This result suggests that with a sufficiently large and high-quality database, the problem can be solved even in the Czech environment with its more complicated character set.
Test form evaluation by OCR
Noghe, Petr ; Fliegel, Karel (referee) ; Kaller, Ondřej (advisor)
This thesis deals with the evaluation forms using optical character recognition. Image processing and methods used for OCR is described in the first part of thesis. In the practical part is created database of sample characters. The chosen method is based on correlation between patterns and recognized characters. The program is designed in a graphical environment MATLAB. Finally, several forms are evaluated and success rate of the proposed program is detected.

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