"指纹识别算法的Matlab实现：图像预处理、特征提取与匹配"

ingerprint recognition has become one of the most popular and reliable personal identification technologies due to the characteristics of fingerprints. This paper mainly focuses on three aspects of fingerprint image processing: image preprocessing, feature extraction, and feature matching. Image preprocessing includes four steps: image segmentation, filtering enhancement, binarization, and thinning, which removes redundant parts of the original image and facilitates subsequent recognition processing. Feature extraction mainly involves extracting endpoints and bifurcation points of the thinned fingerprint image. Feature matching compares the feature points of two fingerprint images to determine if they come from the same finger. This paper provides Matlab programs and processing results for fingerprint image preprocessing, feature extraction, and feature matching. The results demonstrate that the processing results of these algorithms implemented in Matlab are ideal, meeting the feasibility and applicability of recognition.