Segmentation and Feature Extraction for Cursive English Handwriting Recognition

Pritam Dhande, Reena Kharat


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.

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