A study on performance evaluation of fingerprint sensors

Authors:
Hyosup Kang;Bongku Lee;Hakil Kim;Daecheol Shin;Jaesung Kim
Affiliations:
Graduate School of Information Technology & Telecommunication, Biometrics Engineering Research Center, Inha University, Korea;Graduate School of Information Technology & Telecommunication, Biometrics Engineering Research Center, Inha University, Korea;Graduate School of Information Technology & Telecommunication, Biometrics Engineering Research Center, Inha University, Korea;IT Security Evaluation Team I, Korea Information Security Agency, Korea;IT Security Evaluation Team I, Korea Information Security Agency, Korea
Venue:
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Year:
2003

Citing 2
Cited 8

FVC2000: Fingerprint Verification Competition

IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2002: Second Fingerprint Verification Competition

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3

Effect of human-biometric sensor interaction on fingerprint matching performance, image quality and minutiae count

International Journal of Computer Applications in Technology
Biometrics-based identifiers for digital identity management

Proceedings of the 9th Symposium on Identity and Trust on the Internet
Automatic fingerprints image generation using evolutionary algorithm

IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
The effects of human interaction on biometric system performance

ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
A new fingerprint matching algorithm based on minimum cost function

BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Environmentally realistic fingerprint-image generation with evolutionary filter-bank optimization

Expert Systems with Applications: An International Journal
Adaptive enhancing of fingerprint image with image characteristics analysis

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Automatic fingerprints image generation using evolutionary algorithm

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The performance evaluation in biometrics allows the developer to rapidly grasp the status of the current technology, as well as, to shorten the completion of commercialization. Also, this provides the reliability of the product to users and establishes a wide market. Especially for fingerprint recognition, the algorithm developers as well as users require objective and quantitative evaluation processes because the fingerprint recognition is the most unique technology in biometrics in the sense of various kinds of fingerprint sensors are being commercialized. The purpose of this research is to propose the process of performance evaluation, evaluation indices, and the presentation of result for fingerprint sensor modules. Four commercial fingerprint sensor modules have been tested and evaluated by comparing the quantitative measure of fingerprint image quality affected by environmental factors (temperature and humidity) and user factors (skin humidity and pressure). The result of this research is expected to be utilized for improvement of algorithms adapting to different fingerprint sensor modules.