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In this paper, we propose a novel approach for understanding and analyzing the online handwritten chemical formulas. With the structural characteristics, semantic rules, and more importantly grammatical rules, the analyzing process is divided into 3 levels: formula level, molecule level, and text level. A formal description of the chemical formula based-on(More)
A novel adaptive binarization method based on wavelet filter is proposed in this paper, which shows comparable performance to other similar methods and processes faster, so that it is more suitable for real-time processing and applicable for mobile devices. The proposed method is evaluated on complex scene images of ICDAR 2005 Robust Reading Competition,(More)
In this paper, we present an online handwritten recognition method for Chemical Symbols, a widely used symbol in education and academic interactions. This method is based on Hidden Markov Models (HMMs), which are increasingly being used to model characters. We built an HMM for each symbol and used 11-dimensional local features which are suitable for online(More)
Based on the idea of natural human-computer interaction, we design and implement a command system based on static hand gesture recognition. Firstly, the system continuously captures images by camera connected to the computer, and then determines whether there exists an available hand area based on the HSV (Hue-Saturation-Value) color model. It takes(More)
In this paper, we study the major modules of on-line handwritten chemical expressions recognition. We propose a novel two-level algorithm to recognize expressions. In the first level, structural information is used to distinguish different parts and recognize substances. Then the algorithm segments expressions fatherly and recognizes isolated symbols. To(More)
In this paper, we study the major modules of on-line handwritten chemical expressions recognition. We propose a novel algorithm that combines two separate methods to segment expressions, one of which is based on structural information and the other on partial recognition. The algorithm improves the traditional algorithm at the stage of recognition, which(More)