"We present a method for on-line mathematical formulae recognition based on the structural construction paradigm and two-dimensional grammars. In general, this approach can be successfully used in the analysis of images containing objects that exhibit rich structural relations. An important benefit of the structural construction is in not treating symbols segmentation and structural analysis as two separate processes which allows the system to perform segmentation in the context of the whole formula structure - this can help to solve arising ambiguities more reliably. We show that the proposed method can be effectively implemented and practically used."@cs . . "0302-9743" . "Proceedings of the 13th Iberoamerican Congress on Pattern Recognition" . "Pr\u016F\u0161a, Daniel" . "Springer-Verlag" . "RIV/68407700:21230/08:03150862" . "397771" . . "Havana" . . . . "Berlin" . . "RIV/68407700:21230/08:03150862!RIV09-MSM-21230___" . "[2D3278545792]" . . "Hlav\u00E1\u010D, V\u00E1clav" . "Structural Construction for On-Line Mathematical Formulae Recognition" . "document analysis; on-line mathematical formulae recognition"@en . . "Structural Construction for On-Line Mathematical Formulae Recognition"@en . "2"^^ . . "978-3-540-85919-2" . "2"^^ . "Structural Construction for On-Line Mathematical Formulae Recognition"@cs . "We present a method for on-line mathematical formulae recognition based on the structural construction paradigm and two-dimensional grammars. In general, this approach can be successfully used in the analysis of images containing objects that exhibit rich structural relations. An important benefit of the structural construction is in not treating symbols segmentation and structural analysis as two separate processes which allows the system to perform segmentation in the context of the whole formula structure - this can help to solve arising ambiguities more reliably. We show that the proposed method can be effectively implemented and practically used." . "Structural Construction for On-Line Mathematical Formulae Recognition"@en . "P(1M0567)" . . . . "21230" . "We present a method for on-line mathematical formulae recognition based on the structural construction paradigm and two-dimensional grammars. In general, this approach can be successfully used in the analysis of images containing objects that exhibit rich structural relations. An important benefit of the structural construction is in not treating symbols segmentation and structural analysis as two separate processes which allows the system to perform segmentation in the context of the whole formula structure - this can help to solve arising ambiguities more reliably. We show that the proposed method can be effectively implemented and practically used."@en . "Structural Construction for On-Line Mathematical Formulae Recognition"@cs . . . "000259899200039" . "8"^^ . . "2008-09-09+02:00"^^ . "Structural Construction for On-Line Mathematical Formulae Recognition" . .