Next Article in Journal
Direct Measurement of Lateral Force Using Dual Cantilevers
Next Article in Special Issue
Improving Fingerprint Verification Using Minutiae Triplets
Previous Article in Journal
Monocular Camera/IMU/GNSS Integration for Ground Vehicle Navigation in Challenging GNSS Environments
Previous Article in Special Issue
Finger Vein Recognition Based on a Personalized Best Bit Map
Article Menu

Export Article

Open AccessArticle
Sensors 2012, 12(3), 3186-3199; doi:10.3390/s120303186

Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation

School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China
*
Author to whom correspondence should be addressed.
Received: 9 February 2012 / Revised: 22 February 2012 / Accepted: 22 February 2012 / Published: 7 March 2012
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
View Full-Text   |   Download PDF [612 KB, uploaded 21 June 2014]   |  

Abstract

Features used in fingerprint segmentation significantly affect the segmentation performance. Various features exhibit different discriminating abilities on fingerprint images derived from different sensors. One feature which has better discriminating ability on images derived from a certain sensor may not adapt to segment images derived from other sensors. This degrades the segmentation performance. This paper empirically analyzes the sensor interoperability problem of segmentation feature, which refers to the feature’s ability to adapt to the raw fingerprints captured by different sensors. To address this issue, this paper presents a two-level feature evaluation method, including the first level feature evaluation based on segmentation error rate and the second level feature evaluation based on decision tree. The proposed method is performed on a number of fingerprint databases which are obtained from various sensors. Experimental results show that the proposed method can effectively evaluate the sensor interoperability of features, and the features with good evaluation results acquire better segmentation accuracies of images originating from different sensors.
Keywords: fingerprint segmentation; feature evaluation; sensor interoperability; segmentation error rate; decision tree fingerprint segmentation; feature evaluation; sensor interoperability; segmentation error rate; decision tree
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yang, G.; Li, Y.; Yin, Y.; Li, Y.-S. Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation. Sensors 2012, 12, 3186-3199.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top