Recognition of cursive English handwritten characters

This paper aims to represent the work related to recognition of cursive English handwriting. Character recognition of handwritten cursive English script is a very challenging task. In cursive English handwriting, the characters in a word are connected to each other. So the segmentation and feature extraction of cursive English script is much difficult. In the proposed work, horizontal and vertical projection methods are used for segmentation. Convex hull algorithm is used for feature extraction and SVM is used for classification and recognition.