Recognition Technology for Four Arithmetic Operations

By taking photo, the calculating expression is processed and divided into several numeric characters, and then according to the basic mathematical operation rules, the result can be calculated. [...]the recognition accuracy of the operation expression is the core problem, and directly affects the reliability of the result. Paper [3] proposed a novel method of direction feature extraction approach combined with principal component analysis (PCA) and support vector machine (SVM) for recognizing handwritten Bangla numerals, and got an average recognition rate of 95.05%. The basic characteristics of artificial neural networks are nonlinear mapping, classification of study and real-time optimization, so it has opened up new avenues for pattern recognition [4]. According to actual situations, different kinds of neural networks are adopted for example BP network [6] and RBF network [7]. The main research of this paper is to explore a new method for automatic calculation based on recognition technology. Because arithmetic operation is composed of Arabic numerals and operator signs, numbers recognition algorithm must be extended in order to have the recognition function of operation signs. [...]this paper proposed a recognition algorithm that realizes recognizing four arithmetic operations, which can be used for intelligent calculating based on recognition technology. [...]according to the structural characters, we extract and classify the operator signs from the operation. [...]we need to exclude the interference, and extract useful information. 2.1.Filtering Filtering process is used to clean up the image from any redundant feature points, which mainly take the form of either a curve joining an end...