Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface.  In this project, we will basically concentrate on recognizing handwriting of a given set of test data by comparing them with the characteristics of the multiple training data we have . We will associate an author with each training data according to their characteristics.