Feature Analysis & Identity Recognition of Planar Barefoot Impression

Based on a through analysis of planar barefoot impressions,a footprint recognition model based on Bayesian decision was established.Landmarks location and contours segmentation of footprint were performed under a unified coordinate system.41 of three different kinds of features,i.e.,features about angles and distances,about regions,and about contours,were extracted.After feature selection,footprint verification was performed using the Bayesian decision theory.532 footprints of 266 persons were used in our experiment,and the correct verification rate was as high as 97.8%.The result shows that planar barefoot impression can be used for identification.