Online Hand Writing Recognition System on Android Based Mobiles

Abstract – Now a days smart mobiles with androidos are very relentlessly scattered in the technological world. There may be many features and apps which make the effective use of these mobiles as well as serve the needs of a user. This paper presents a system for online hand written character recognition that involves alphabets of lower case and upper case, numerical and some basic expressions together with a user-interface. The aim of this study is to utilize the most convenient man-machine-interface like pen for input of mathematical expressions. In pen-enabled devices handwriting sequences are collected by the digitization of pen movements which outputs an array of coordinates called strokes.A neural network is trained for recognizing each stroke and a recursive algorithm parses the expression by combining neural network output and structure of the ex-pression. After the recognition, all output is combined into file and hence enables easy-input of characters in all pen enabled devices such as tablet external tablet pads, electronic pen-boards etc