IEEE Trans Pattern Anal Mach Intell. 2023 Jul;45(7):8679-8695. doi: 10.1109/TPAMI.2022.3233898. Epub 2023 Jun 5.
Compared with contact-based fingerprint acquisition techniques, contactless acquisition has the advantages of less skin distortion, more complete fingerprint area, and hygienic acquisition. However, perspective distortion is a challenge in contactless fingerprint recognition, which changes the ridge frequency and relative minutiae location, and thus degrades the recognition accuracy. We propose a learning-based shape-from-texture algorithm to reconstruct a 3-D finger shape from a single image and unwarp the raw image to suppress the perspective distortion. Our experimental results for 3-D reconstruction on contactless fingerprint databases show that the proposed method has high 3-D reconstruction accuracy. Experimental results for contactless-to-contactless and contactless-to-contact-based fingerprint matching indicate that the proposed method can improve the matching accuracy.
与基于接触的指纹采集技术相比，非接触式采集具有皮肤变形小、指纹区域更完整、采集卫生等优点。然而，透视变形是非接触式指纹识别中的一个挑战，它改变了脊线频率和相对细节位置，从而降低了识别精度。我们提出了一种基于学习的从纹理到形状的算法，从单个图像重建三维手指形状，并对原始图像进行展开以抑制透视变形。我们在非接触式指纹数据库上进行的三维重建实验结果表明，该方法具有较高的三维重建精度。非接触式到非接触式和非接触式到基于接触式指纹匹配的实验结果表明，该方法可以提高匹配精度。
