一种基于PCNN的指纹特征提取算法

具有生物背景的脉冲耦合神经网络具有自适应提取指纹特征的特性，基于此，首次提出了一种指纹图像特征提取的新方法一一自适应耦合神经网络点火统计图的，此图不仅包含了指纹图像的灰度特征，还包含相邻像素之间的几何位置信息。此方法具有运算速度快及对旋转、平移、尺度不变性，是许多指纹特征提取算法不具备的优点。最后给出了部分实验的结果，以验证该方法的有效性．

Based on the feature extraction algorithm PCNN fingerprints

Pulse coupled neural network (PCNN) which has biology backgrand is characterized with adaptive image separation and image feature extraction. In view of this thought, a new method of feature extraction of fingerprint named PCNN adaptive firing series statistical image is proposed in th is paper for the first time, it is pointed out that this image contains not only information about the gray feature of fingerprint, but also geometry information between adjacent pixels, which is more important and just the i...