This paper will resolve shape identify from a new position. In course of image processing

the pixels are endowed with electric quantity. Every shape of image is indicated by electric field strength and electric potential in 3-D space around the image. In this paper

the processing is based on binary image. Firstly

edge of the image is got by edge detection techniques and then corner points by polygonal approximation. Lastly

electric field strength and electric potential are calculated for normalizing observation points. The calculated value will indicate different images. It exists infinite observation points for one image. Therefore it's important and necessary to choose appropriate observation points in practice. Because they indicate the shape information more reasonably and fit computer for judging. The algorithm derives from physics and easily be understood in physics. The paper give necessary deduction and experiments

when the images are revolved

moved and distorted

the method also could show a better result in recognition. The key of following work is to resolve how to choose observation points

so that recognition result will be more precise and robust and can be competent for complex images.