Palmprint has been demonstrated as one of the most convenient and powerful method in personal verification.This paper proposes a new characteristic called "orientation-texture feature" in palmprint when analyzing its features.First we adopt method to extract the region of interest by tracking the optimal ellipse in the palmprint area.The method is robust to shift

rotation

stretch and other interference.Then we use multichannel-sampling Gabor filters

which simulates certain characteristics of the human visual system

to process and filter our image.The filter we design can automatically adapt to the image via selecting parameters according to our analysis of the width and orientation of the texture.In the filtering stage

we use different filters from different orientations and widths to extract features in palmprint from ridge

wrinkle

and principle line resolutions

and compute its block energy in polar axis by using an optimized ring-orientation projective algorithm.By adopting FCM clustering algorithm

demonstrate that this approach has its advantage of high verification rate in palm print.