提出了一种新的基于方向场离散傅里叶变换(Discrete Fourier transform,DFT)和角点检测的指纹奇异点定位算法.对方向场做DFT变换到频域处理能更好地压制噪声.通过角点提取、基于目标标注的聚类方法来定位指纹图像的奇异点.从方向场的极/零点模型出发,导出了若干新颖的性质,说明了奇异点和角点之间的关系.实验结果表明,奇异点定位精度有所提高,处理时间更短.
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