In order to avoid the limitation of the existing segmentation algorithms based on gray-scale image or binary image,this paper presents an approach of handwritten characters segmentation which makes use of the characteristics of gray-scale image and binary image.

The segmentation of handwritten Chinese words and the classification of multi-sort financial notes images is the basis of implementation of notes automatic procession.

Through calculating the connected components of the background area of character image,hole features of a handwritten character image can be extracted.

A new way for handwritten character recognition is proposed in the paper.

To overcome handwritten character pattern s instability caused by different writing styles, a novel approach is proposed in this paper.

This paper discusses characters segmentation and characters recognition in intelligent vehicle plate recognition system.

The new methods of the early technique of LP recognition, including LP location, LP image contrast estimation, binarization, and characters segmentation are studied and proposed.

License Plate Locating and Character Division;

The accuracy of character division is the prerequisite of correct recognition in the automatic recognition system for automobile license plate.

Various techniques of digital image processing in the license plate identification are introduced,and the key techniques such as edge detection of license plate and character division of license plate are discussed in detail.