Math Accessibility for Blind People in Society Using Machine Learning

Abstract

Math plays a crucial role in each and every sector belonging to human beings in society. Sometimes, it is very difficult to recognize math equations and symbols due to variation in writing, change in stroke, touching symbols, and many more. The blind people get very low success in math recognition as compared to character and digit recognition. It is needed to develop blind math application in which various math equations and symbols have to be recognized. The proposed system uses a machine learning approach to identify the various math equations and symbols by extracting various statistical and complex features with well-known classifier viz. support vector machine, neural network, and K-nearest neighbor. The math documents have to be scanned and recognized. Finally, a text to speech converter has been made to get the contents of math documents for blind people in society. The proposed system will be helpful for blind math applications and it will not affect the health of blind people in terms of stress on the eye to recognize so the health can be maintained and documents can be read.The implemented system can be used by blind people to read the math documents, digits on a bank check, calculate the valuation of currency, etc.