SOLVING LINEAR EQUATIONS FROM AN IMAGE USING ANN

Mithun Roy, Anupam Mukherjee, Alok Basu, Pratik Kumer Halder

Abstract: Optical character recognition has a great impact in image processing application. This paper combines the concept of OCR and feed-forward artificial neural network to solve mathematical linear equations. We implement blob analysis and feature extraction to extract the individual characters to a captured image which having some mathematical equations. We are constructing 39 character set which having some numbers, alphabet and operators. Training of these character set is done by using supervised learning rule. If that image satisfying linear equation condition then our proposed algorithm solve this equation and generate the output. This paper tries to increase the recognition rate more than 87%. The result achieved from the training and testing on the network of the letter recognition is satisfactory.

Keywords: Artificial Neural Network, Linear Equation, Recognized rate, Optical Character Recognition.

DOI: https://doi.org/10.15623/ijret.2015.0402080