An approach for optical formula recognition based on RL features
Minghu Ha · Optical Technique · 2007
A new method for optical formula recognition and analysis was put forward.The RL features were used in formula extraction and recognition to improve the recognition accuracy.The symbol images were obtained with a two-layers searching algorithm of connected components.In the first layer,the connection areas of composed symbols were extracted with RL features.And the single symbols contained in these composed symbols were identified with a traditional way in the second layer.A special recognizer was designed to identify these symbol images.The logical structure was obtained according to their geometrical features and lingual information.The analysis result was presented as a formula structure tree.The experiments were done on some mathematical expressions within printed document.The results show that the method is of immense practical and theoretical value.