Fingerprint retrieval method based on sweat pore characteristics and neural network

The invention discloses a fingerprint retrieval method based on sweat pore features and a neural network. The method comprises the following steps: acquiring a fingerprint image; extracting global features of the fingerprint image and sweat pore features of the fingerprint image based on a trained feature extraction model; and screening and matching the fingerprint image for a plurality of times according to the global features of the fingerprint image and the sweat pore features of the fingerprint image to obtain a retrieval result of the fingerprint image. The global feature and the sweat pore feature of the fingerprint image are extracted, the fingerprint image is screened and matched for multiple times based on the two features, and the feature information can be effectively extracted by the feature extraction model due to rich sweat pore features, so that the fingerprint image retrieval speed and precision are improved. 本发明公开了一种基于汗孔特征及神经网络的指纹检索方法，所述方法包括：获取指纹图像；基于已训练的特征提取模型，提取所述指纹图像的全局特征和所述指纹图像的汗孔特征；根据所述指