Comparision of different algorithm for the segmentation of handwritten indian annotations

Abstract

The thesis describe the application of segmentation on handwritten annotations on printed documents by various person which can be captured by simple camera or mobile phone. The procedure has three steps included to it such as segmentation, feature extraction and classifier. Existing studies propose a segmentation of annotation based on their form and function. Future prospects are feature extraction and classification using classifier which has wide application in forensic, hospital setup, handwriting recognition and newspaper reader. It has also seen that watershed algorithm (without using distance map and using variance filter) is best option available for segmentation of images.