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Device for Imitation of Static and Dynamic Handwriting Characteristics
Pawlus, Jan ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This project deals with designing and assembling a system for imitation of static and dynamic handwriting characteristics. This system's design takes into account special pen targeted for getting the handwriting characteristics, working with these characteristics and their imitation with a 3D printer altered for this purpose. This topic might be interesting because research about this specific field, which would include a real demonstration of how a signature can be forged using dynamic handwriting characteristics not by forger's hand, barely exists. The problem with preventing forgery is that we need to know the attack well, which is a clear motivation for this project.
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Handwritten text recognition using a sliding window
Ďuriš, Denis ; Povoda, Lukáš (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis deals with optical character recognition. It focuses on recognizing hand-written text. The theoretical introduction describes the methods used for optical character recognition and selected machine learning methods. Subsequently, the work describes two methods for making cutouts of characters, using a sliding window. Cutouts are used in training and testing datasets of machine learning models. The document includes methods to improve the accuracy of character recognition. The accuracy of the models is evaluated in conclusion. Charcters in cutouts are clasified by an automated recognition program.
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Online Handwritten Mathematical Formulae Recognition
Stria, Jan ; Průša, Daniel (advisor)
In this thesis, we deal with online recognition of handwritten mathematical formulas. We provide an introduction to the field of study, discuss the current state of the art and survey several existing implementations in detail. Then we present our own solution comprehending two steps. In the first step, individual symbols are detected utilizing temporal and spatial relations of the handwritten strokes. Then we recognize the symbols by combining results provided by an existing third party library with our rule based methods and template symbols matching. In the second step, a structure of the formula is examined. We introduce a novel approach incorporating a grammar based description of the formula with a statistical evaluation of the subexpressions. We also discuss related problems comprehending implementation of the recognizer as a web application and acquisition of the sample data.
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Device for Imitation of Static and Dynamic Handwriting Characteristics
Pawlus, Jan ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This project deals with designing and assembling a system for imitation of static and dynamic handwriting characteristics. This system's design takes into account special pen targeted for getting the handwriting characteristics, working with these characteristics and their imitation with a 3D printer altered for this purpose. This topic might be interesting because research about this specific field, which would include a real demonstration of how a signature can be forged using dynamic handwriting characteristics not by forger's hand, barely exists. The problem with preventing forgery is that we need to know the attack well, which is a clear motivation for this project.
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Online Handwritten Mathematical Formulae Recognition
Stria, Jan ; Průša, Daniel (advisor)
In this thesis, we deal with online recognition of handwritten mathematical formulas. We provide an introduction to the field of study, discuss the current state of the art and survey several existing implementations in detail. Then we present our own solution comprehending two steps. In the first step, individual symbols are detected utilizing temporal and spatial relations of the handwritten strokes. Then we recognize the symbols by combining results provided by an existing third party library with our rule based methods and template symbols matching. In the second step, a structure of the formula is examined. We introduce a novel approach incorporating a grammar based description of the formula with a statistical evaluation of the subexpressions. We also discuss related problems comprehending implementation of the recognizer as a web application and acquisition of the sample data.
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Handwritten text recognition using a sliding window
Ďuriš, Denis ; Povoda, Lukáš (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis deals with optical character recognition. It focuses on recognizing hand-written text. The theoretical introduction describes the methods used for optical character recognition and selected machine learning methods. Subsequently, the work describes two methods for making cutouts of characters, using a sliding window. Cutouts are used in training and testing datasets of machine learning models. The document includes methods to improve the accuracy of character recognition. The accuracy of the models is evaluated in conclusion. Charcters in cutouts are clasified by an automated recognition program.
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