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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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Online recognition of chemical formulas and equations
Nevolová, Kateřina ; Průša, Daniel (advisor) ; Stria, Jan (referee)
In this thesis, we deal with online recognition of handwritten chemical formulas and equations. First, we explain and point out some methods used, and present existing solutions. We examine the properties of the chemical structures. Then we describe our own solution consisting of detection of symbols on the basis of the spacial relations of strokes and their recognition provided by an existing third party library. After that the complex structure of the chemical formula or equation is examined using formal grammar, which we designed. The work also includes implementation of solutions in the form of web application and its experimental evaluation on our own collected set of test data. Powered by TCPDF (www.tcpdf.org)
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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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Online rozpoznávání ručně psaných matematických formulí
Stria, Jan ; Průša, Daniel (advisor) ; Mráz, František (referee)
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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