Segmentation and Feature Extraction for Cursive English Handwriting Recognition
Pritam S. Dhande, Reena S. Kharat · 2017
This paper aims to represent the various techniques of optical character recognition for cursive English handwriting.OCR is a challenging research area in pattern recognition and image processing. In OCR, images of printed ,handwritten or typed text are scanned and converted into machine readable text. There are scanners with inbuilt OCR for printed documents but not for handwritten documents. 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.