This paper is the second part of a review series on the character segm
entation techniques. In this paper, we present an overview on the most
important techniques used in segmenting characters from handwritten w
ords. It is well-recognized that it is difficult to segment individual
characters from handwritten words without the support from recogniton
and context analysis. One common characteristic of all the existing h
andwritten word recogniton algorithms is that the character segmentati
on process is closely coupled with the recognition process. This revie
w consists of three major portions, handprinted word segmentation, han
dwritten numeral segmentation and cursive word segmentation. Every alg
orithm discussed in the paper is accompanied with a flow chart to give
a clear grasp of the algorithm. One section summarizes the terms and
measurements commonly used in handwritten character segmentation. The
bibliography contains a comprehensive list of work in handwritten char
acter segmentation and recognition.