Background Removing of Slap Fingerprint Images Based on Frequency Domain Analysis

To separate the background from the foreground of slap fingerprint images quickly and accurately,an efficient algorithm based on frequency domain analysis was presented:① the coarse separation of foreground from the background based on three-order cumulant;② the binarization enhancement based on optimal threshold segmentation of gray histogram distribution;③ the removal of non-fingerprint texture region based on frequency domain analysis and two decision rules;④ the region combination based on the center nearest neighbor rule.The experimental results show that the algorithm,which is proven effective by the given examples,has a faster processing speed and superior precision.