高分辨率捺印掌纹的自动分割

Automatic high-resolution latent palmprint segmentation

设计了2种全新的自动掌纹分割算法.第1种利用一致局部二进制模式的频数统计逐块检测背景区域;第2种根据相邻区域(块)之间的纹理差异容忍度,将相似的区域合二为一,差异较大的标记为两类区域.然后通过区域生长分别得到掌纹前景和背景.2种算法在标准掌纹档案库中都得到了成功应用.

High-resolution latent palmprint image is one of the primary forensic evidences. However the image is still manually segmented for its huge size and complex texture. Two automatic segmentation algorithms are proposed to solve this problem. The first detects the background based on the frequencies of ULBP in each block. The other compares the texture dissimilarity between neighbor regions in each couple until all the regions grow up into the foreground and background. The experiments on the standard latent palmprint database show effectiveness of the two algorithms.