CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 6979 > Article
Paper
27 March 2008 Sensor performance evaluation analysis of imitation fingerprint
Kyung-hee Yu, Hyunsuk Lee, You-suk Bae
Author Affiliations +
Proceedings Volume 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI; 697904 (2008) https://doi.org/10.1117/12.777536
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States
Abstract
The fingerprint recognition is the most developed field in the biometrics recognition and it can apply to the various applications. So the various studies are in progress for an enhancement of fingerprint recognition performance. In this paper, we will study the fingerprint recognition sensor. The fingerprint becomes input using fingerprint sensor to the fingerprint recognition system and the performance of the sensor has an effect on the fingerprint quality. Therefore, the improvement of system performance is possible by improving the performance of sensor. In this paper, we will study sensors which can be protected or unprotected from artificial fingerprint attack. We make various artificial fingerprints, and test sensors to overcome artificial fingerprint attack. We will analyze results of scanning test according to the various sensors and propose the method using the histogram of the normal image in order to measure the performance of these sensors. The measured characteristics are the resolution, shift, gradient, contrast, and rotation. The purpose of this paper is to propose the ways of the performance measurement which can be a criterion to evaluate the sensor performance.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Kyung-hee Yu, Hyunsuk Lee, and You-suk Bae "Sensor performance evaluation analysis of imitation fingerprint", Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 697904 (27 March 2008); https://doi.org/10.1117/12.777536
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 9 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors
Image sensors
Sensor performance
Optical sensors
Fingerprint recognition
Silicon
Biometrics
RELATED CONTENT
Development of InSb staring image sensors (Invited Paper)
Proceedings of SPIE (October 26 1992)
Fake fingerprint detection based on image analysis
Proceedings of SPIE (January 25 2010)
Imaging sensor fusion for concealed weapon detection
Proceedings of SPIE (February 19 1997)
DB-110 performance update
Proceedings of SPIE (November 05 1998)
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top