Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning

07/03/2021
by   Indu Joshi, et al.
0

A fingerprint region of interest (roi) segmentation algorithm is designed to separate the foreground fingerprint from the background noise. All the learning based state-of-the-art fingerprint roi segmentation algorithms proposed in the literature are benchmarked on scenarios when both training and testing databases consist of fingerprint images acquired from the same sensors. However, when testing is conducted on a different sensor, the segmentation performance obtained is often unsatisfactory. As a result, every time a new fingerprint sensor is used for testing, the fingerprint roi segmentation model needs to be re-trained with the fingerprint image acquired from the new sensor and its corresponding manually marked ROI. Manually marking fingerprint ROI is expensive because firstly, it is time consuming and more importantly, requires domain expertise. In order to save the human effort in generating annotations required by state-of-the-art, we propose a fingerprint roi segmentation model which aligns the features of fingerprint images derived from the unseen sensor such that they are similar to the ones obtained from the fingerprints whose ground truth roi masks are available for training. Specifically, we propose a recurrent adversarial learning based feature alignment network that helps the fingerprint roi segmentation model to learn sensor-invariant features. Consequently, sensor-invariant features learnt by the proposed roi segmentation model help it to achieve improved segmentation performance on fingerprints acquired from the new sensor. Experiments on publicly available FVC databases demonstrate the efficacy of the proposed work.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 3

page 6

01/09/2015

Filter Design and Performance Evaluation for Fingerprint Image Segmentation

Fingerprint recognition plays an important role in many commercial appli...
10/06/2021

Deep Slap Fingerprint Segmentation for Juveniles and Adults

Many fingerprint recognition systems capture four fingerprints in one im...
04/19/2013

Separating the Real from the Synthetic: Minutiae Histograms as Fingerprints of Fingerprints

In this study we show that by the current state-of-the-art synthetically...
10/25/2017

Automated Region Masking Of Latent Overlapped Fingerprints

Fingerprints have grown to be the most robust and efficient means of bio...
07/02/2021

Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints

The effectiveness of fingerprint-based authentication systems on good qu...
02/23/2022

Testing report of a fingerprint-based door-opening system

This paper describes the operational evaluation of a door-opening system...
06/26/2014

A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module

Latent fingerprint has the practical value to identify the suspects who ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.