Classification of Different Segmentation Methods for Handwritten Words

For character recognition several phases is to be passed out .Very crucial, important and difficult phase is segmentation of handwritten words. Segmentation is the process of dividing the specific word into character or dividing the image or scanned document into several sub images. For performing segmentation several approaches have been described such as explicit, implicit, hybrid and holistic.This different approach works same with computer vision and neural network i.e. The segmentation is totally based on dissection. Thus dissection means dividing the image in series of sub images. There are various methods that fall in category of either computer vision or neural network. And thus the methods described below uses any of the four approaches. The methods described perform segmentation on different properties of image.