Abstract: Palmprint region of interest (ROI) segmentation is a key step of palmprint recognition.The significant pro-blem is that the fixed points are not easy to identify and the deviation of extracting similar image ROI is large in the recent research.So we proposed a new ROI segmentation algorithm to solve the problem.The points of two valleys in the palm are determined at first,then the fitting straight line is gotten by using the special area of palm outline.This paper presented the algorithms to find the palm print information-rich areas by using the two points,and rectangular coordinate system is setted based on the fitting line.After extracting the palmprint ROI,proper vector is matched and recognized.Experimental results show that using this algorithm can find the ROI area more accurately and rapidly,and the segmentation of the same image shift is extremely small.The ROI extraction rate is up to 98.2%,and the palm correct identification rate is increased by about 3%.So the algorithm provides a basis to develop the authentication system based on palmprint recognition.

Key words: Palmprint recognition,Image segmentation,Feature location,Straight line fitting,Feature matching