… We believe that the same conclusion would be valid for the pores in the fingerprint images
from any other dataset … Scotti, “A Novel Pore Extraction Method for Heterogeneous Fingerprint …

… pores extraction algorithm for latent fingerprints is proposed which is based on Lindeberg’s
automatic scale selection method (ii) Utility of pores … use of two different Convolution Neural …

… a novel pore matching method with high recognition accuracy. The method mainly solves
the pore representation problem in the state-of-the-art direct pore matching method. By making …

… , “A novel pore extraction method for heterogeneous fingerprint images using convolutional
neural … Shen, “Fingerprint pore extraction using convolutional neural networks and logical …

… In this paper, pore extraction algorithm is proposed for high-resolution fingerprint images …
(2017) have introduced pores extraction through the convolutional neural network (CNN). …

… The other is the learning-based method that mainly uses convolutional neural … real fingerprint
images. In this chapter, we will introduce another novel pore model and extraction method, …

… 31] to extract ridges and pores present in fingerprints. Labati et … based pore extraction model
that can handle heterogeneous … : fingerprint pore extraction using deep convolutional neural …

… This paper proposed a novel method for high-resolution fingerprint retrieval based on … :
Fingerprint pore extraction using deep convolutional neural networks,” IEEE Signal Process. Lett., …

… Moreover, several literature on pore detection are reported based on Convolutional Neural
… [21] proposed a method for heterogeneous dataset which includes touch-based, touchless …

… these pore locations to extract pore representations from the … We use the same fingerprint
image as [14] and apply data … During inference, when the input image size is \(480 \times …