Compared with contact-based fingerprint acquisition techniques, contactless acquisition has the advantages of less skin distortion, larger fingerprint area, and hygienic acquisition. However, perspective distortion is a challenge in contactless fingerprint recognition, which changes ridge orientation, frequency, and minutiae location, and thus causes degraded recognition accuracy. We propose a learning based shape from texture algorithm to reconstruct a 3D finger shape from a single image and unwarp the raw image to suppress perspective distortion. Experimental results on contactless fingerprint databases show that the proposed method has high 3D reconstruction accuracy. Matching experiments on contactless-contact and contactless-contactless matching prove that the proposed method improves matching accuracy.

翻译：与基于接触的指纹采集技术相比,无接触的获取具有减少皮肤扭曲、扩大指纹面积和卫生获取的优势,然而,在无接触的指纹识别方面,观点扭曲是一个挑战,它改变了脊脊方向、频率和细小位置,从而降低了识别的准确性。 我们提议从纹理算法中建立基于学习的形状,从单一图像中重建3D手指形状,并解除原始图像的扭曲,以抑制观点扭曲。无接触的指纹数据库的实验结果表明,拟议方法具有较高的3D重建准确性。匹配无接触和无接触的匹配实验证明,拟议方法提高了匹配的准确性。