Fingerprint is an important biological feature of human body, which contains abundant
gender information. At present, the academic research of fingerprint gender characteristics is
generally at the level of understanding, while the standardization research is quite limited. In
this work, we propose a more robust method, Dense Dilated Convolution ResNet (DDC-
ResNet) to extract valid gender information from fingerprints. By replacing the normal
convolution operations with the atrous convolution in the backbone, prior knowledge is …

Background: Fingerprint is an important biological feature of human body, which contains
abundant biometric information. At present, the academic exploration of fingerprint gender
characteristics is generally at the level of understanding, and the standardization research is
quite limited. Methods: A robust approach is presented in this article, Dense Dilated
Convolution ResNet Autoencoder, to extract valid gender information from fingerprints. By
replacing the normal convolution operations with the atrous convolution in the backbone …